Browse Topic: Medical, health, and wellness

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Influence of varying shoulder profiles in pin-less tool on friction stir welding of thin plates2026-28-0028To be published on 02/01/2026
This study explores the thermal and mechanical characteristics of Friction Stir Welding (FSW) using pin-less tools with varied shoulder geometries to weld 2 mm dissimilar plates. FSW is a solid-state joining technique known for minimizing weld defects and enhancing joint integrity, particularly in the applications requiring high precision and low thermal distortion. Using simulation-based analysis via ANSYS, three custom-designed tool profiles are considered (i.e) spiral, concentric, and diamond tip, were evaluated. The rotational speeds considered are 500, 1000, and 3000 rpm at a constant traverse speed of 90 mm/min. The 3D models of the FSW tool with required shoulder profiles and thin plates are developed using Solid works. The tool and plates are characterized using tungsten carbide and aluminium-magnesium for workpieces. The simulations focused on key field variables including, temperature distribution, residual stress, and deformation on the welded plates. Results indicated that
Nelson, N Rino
Development of Multiple level Auto Mode for Climate control in electric vehicles2026-28-0008To be published on 02/01/2026
Electric vehicles, or EVs, are significantly transforming the automotive industry as a cleaner and more environmentally friendly which finds an alternative solution for the vehicles propelled using internal combustion engines. As EV utilize the energy directly from the battery which causes customer or a user to be in panic state as charging infra is not developed well in most of the countries, thus improving vehicle efficiency and driving range requires optimizing energy consumption from battery of EVs. Apart from traction motor load for driving, major supplemental loads in electric car are climate control system, sometimes referred to as HVAC (Heating, Ventilation, and Air Conditioning). HVAC systems can consume a lot of battery power, especially during severe temperatures, which can drastically reduce the vehicle's range. Range anxiety continues to be an important barrier to the general adoption of EVs, the intelligent climate management systems which helps to reduce HVAC power usage
Mulamalla, Sarveshwar Reddy, SV, Master Eniyan, M, Nisshok, Anugu, Anil, E A, Muhammed, Guturu, Sravankumar
Design and Validation of a Collapsible Brake Pedal System for Lower-Leg Protection in Frontal Impacts2026-26-0500To be published on 01/16/2026
Indian Passenger car accident data indicates that approximately 44% of crashes are frontal impacts. Among the injuries sustained in these crashes, lower leg injuries are notably critical, contributing to nearly 25% of driver occupant injuries. To evaluate such injuries, the Bharat New Car Assessment Program (BNCAP) includes lower leg injury metrics as part of the Frontal Offset Deformable Barrier (ODB64) test. While the overall injury performance is assessed at the vehicle level, BNCAP also monitors vehicle interior intrusions—particularly pedal intrusions—as key contributors to lower limb injury severity. A major challenge in frontal crashes is the intrusion of the vehicle's front-end structure into the occupant compartment. Rigid components, particularly the brake pedal assembly, can be displaced rearward during a crash, significantly increasing the risk of lower leg injuries. Therefore, minimizing pedal intrusions into the driver footwell is critical to enhancing lower leg
Shetti, Rahul R., Kudale, Shailesh, Naik, Nagaraj, Bisen, Badal, Kotak, Vijay, Dudhewar, Swapnil, Bhagat, Amit, Durgaprasad, HNV
Study of real time impact on automotive cabin Air Quality due to the ambient air pollution in the severely polluted city2026-26-0531To be published on 01/16/2026
This study investigates the concentrations of PM2.5 and PM10 inside an automobile under real-world driving conditions in Delhi, one of the most polluted cities globally. India faces severe air pollution challenges in many cities, including Delhi, which are consistently ranking among the most polluted cities in the world. Major contributors to this pollution include vehicular emissions, industrial activities, construction dust, and biomass burning. Exposure to PM2.5 and PM10 has been linked to numerous adverse health effects, including respiratory and cardiovascular diseases, aggravated asthma, decreased lung function, and premature mortality. PM2.5 particles, being smaller, can penetrate deeper into the lungs and even enter the bloodstream, causing more severe health issues. In big cities like Delhi, long driving times exacerbate exposure to these pollutants, as commuters spend extended periods in traffic. Measurements were taken both inside and outside the vehicle to assess the real
Gupta, Rajat, Pimpalkar, Ankit, Patel, Abhishek, Kumar, Shubham, Joshi, Rishi, Kumar, Mukesh
Occupant Kinematics and injuries during high speed side impacts: An analysis of ARAI data 2016-20242026-26-0027To be published on 01/16/2026
The objective of the present study was to examine trends in occupant kinematics and injuries during side impact tests carried out on vehicle models over the period of time . Head, shoulder, torso, spine, and pelvis kinematic responses are analyzed for driver dummy in high speed side impacts for vehicle model years, MY2016-2024. Automotive Research Association of India side impact crash data is examined. The test procedure involved a 50.0 km/h moving deformable barrier (MDB) impacting the sides of stationary vehicles. Instrumented 50th-percentile male EURO SID-2 dummy was positioned in the driver seat. Occupant kinematics data, including head accelerations, Head Injury Criterion (HIC15), Torso deflections at thorax and abdominal ribs, spine accelerations at T12, and pelvis accelerations were evaluated and compared. The “peak” and “time to- peak” responses were compared across different vehicle model years. The effect of delta-V, vehicle MY, on occupant kinematics was examined. For
Mishra, Satish, Borse, Tanmay, Kulkarni, Dileep, Mahajan, Rahul
An Innovative Crash Sensing System Architecture for Robust functionality of Safety restraints in different Challenging Real World Accident scenarios2026-26-0017To be published on 01/16/2026
Title: An Innovative Crash Sensing System Architecture for Robust functionality of Safety restraints in different Challenging Real World Accident scenarios. Authors: Sunil Kovalam, Harihara Sudhan, Praveen Bansode and Sanjay Gaddamwar Mahindra & Mahindra Ltd Abstract: In the emerging markets especially like India and other similar countries, growing traffic density on the roads leading to different kind of accident types including head on collision, rear end collision, side impact collision and accidents involving with pedestrians or cyclists or two wheelers etc. These accidents could be due to over-speeding, distracted driving and inadequate road infrastructure. Providing necessary safety restraints system (Airbags and Seat belts) and its robust functionality in different real world accident scenarios will be a challenging to vehicle manufactures. It is a high time to redefine the traditional crash sensing architecture strategies with logical approach based on the thorough study of
KOVALAM, SUNIL KUMAR
Investigating Pelvic Locking and Torso Kinematics using Human Body Models in Frontal Impact Scenarios2026-26-0002To be published on 01/16/2026
Occupant Safety systems are usually developed using anthropomorphic test devices (ATDs), such as the Hybrid III, THOR-50M, ES-2, and WorldSID. However, in compliance with NCAP and regulatory guidelines, these ATDs are designed for specific crash scenarios, typically frontal and side impacts involving upright occupants. As vehicles evolve (e.g., autonomous layouts, diverse occupant populations), ATDs are proving increasingly inadequate for capturing real-world injury mechanisms. This has led to the adoption of computational Human Body Models (HBMs), such as the Global Human Body Models Consortium (GHBMC) and Total Human Model for Safety (THUMS), which offer superior anatomical fidelity, variable anthropometry, active muscle behaviour modelling, and improved postural flexibility. HBMs can predict internal injuries that ATDs cannot, making them valuable tools for future vehicle safety development. This study uses a sled CAE simulation environment to analyze the kinematics of the HBMs
Raj, Pavan, Rao, Guruprakash, Pendurthi, Chaitanya Sagar, Nehe, Vaibhav, Chavan, Avinash
Machine learning model to predict Chest Injury during Thorax Impact on Human Body Models2026-26-0665To be published on 01/16/2026
In recent years, virtual models have been handy in predicting potential injury risk to occupants in vehicle crashes. Virtual models offer detailing of occupant anthropometry and closest possible bio-fidelity over existing test devices. This study focuses on the assessment of chest deflections in frontal thorax impacts using virtual human body models of a few anthropometries and transforming the assessment of injuries of broader range of anthropometries (population). The study utilizes machine learning models to enable injury assessment across a broader range of body types. The study has taken a standard test scenario (Kroell load case) having frontal blunt thoracic impact. The load case is replicated in LS-DYNA and finite element human body models (HBMC) of 05th Female and 50th Male are used. The simulation setup replicates the boundary conditions as per literature, the responses necessary to measure chest deflection were validated & recorded. The outputs from the simulations and data
Sridhar, Raam, Arya, Bibhu, Divakar, Prajwal, R, Udhaya Kumar, Bhutki, Prasad, Kumar PhD, Devendra, Kurkuri, Mahendra, Mohan PhD, Pradeep
Q-Series Child Dummy FE model development and validation for child occupant safety assessment in Automotive crashes2026-26-0390To be published on 01/16/2026
The Ministry of Road Transport and Highways (MoRTH), Government of India has established BHARAT NCAP to provide a fair, meaningful, and objective assessment of the crash safety performance of cars. This program evaluates vehicles across three key areas, including Child Occupant Protection (COP). A critical component of the COP assessment involves dynamic testing using Q-series child dummies representing a 1½-year-old (Q1.5) and a 3-year-old child (Q3). As per the BHARAT NCAP protocol these dummies are placed in the second-row outboard seating position within Child Restraint Systems (CRSs) and subjected to two primary dynamic impact tests: Offset Deformable Barrier (ODB) conducted at speed of 64 km/hr. and Mobile Deformable Barrier (MDB) Side Impact tests conducted at 50 km/hr. The dynamic assessment of these child dummies is primarily focused on the head, neck, and chest regions to evaluate the effectiveness of the CRSs and overall vehicle safety system in protecting young occupants
Khopekar, Maria, Lakshminarayana, Apoorva, Mohan, Pradeep, Kurkuri, Mahendra
Artificially Intelligent Rapid Rescue Vehicle System2026-26-0642To be published on 01/16/2026
human lifestyle. The automotive industry plays a crucial role as travel is an integral part of human lifestyle. This indeed has increased the need and demand for automotive domain to step ahead with technology and innovations. Especially, related to ADAS features and AI/ML based algorithms to provide comfort, safety, and many other factors for the consumers. The busy life of human beings has shown increased rate of many health-related issues like stress, anxiety, heart attacks, blood pressure, accidents etc. The existing system in vehicles detects health emergencies and triggers SOS to the emergency service center. However, several catastrophic events occur due to delayed information, thus there is a need for a proactive solution that combines technology and human safety. In this work, we have investigated the different methods which detect the health issues of occupants in a vehicle by monitoring their stress level, heart rate, blood pressure etc., We propose a solution which helps to
Eswarappa, Asha, Nagaraj, Chaitra, Mudassir, Syed
Thoracic Injury Mechanisms Due to Front Seatback–Rear Seat Pan Interaction in Severe Rear-Impact Collisions2026-26-0005To be published on 01/16/2026
Severe rear-impact collisions can cause significant intrusion into the occupant compartment when the structural integrity of the rear survival space is insufficient. Intrusion patterns are influenced by impact configuration—underride, in-line, or override—with underride collisions channeling forces below the beltline through the rear wheels as a primary load path. This force concentration rapidly propels the rear seat-pan forward, contacting the rearward-rotating front seatback. The resulting bottoming-out phenomenon produces a forward impulse that amplifies loading on the front occupant’s upper torso, increasing the risk of thoracic injury even when the head is properly supported by the head restraint. This study analyzes a real-world rear-impact collision that resulted in fatal thoracic injuries to the driver, attributed to the interaction between the driver’s seatback and the forward-moving rear seat pan. A vehicle-to-vehicle crash test was conducted to replicate similar intrusion
Thorbole, Chandrashekhar
Comprehensive research study examining Tyre wear and its Indian perspective.2026-26-0604To be published on 01/16/2026
Automobile emissions refer to the gases and particles released into the atmosphere by vehicles during their operation. These emissions contribute to environmental pollution and have an impact on human health and the environment. This paper assimilates findings from a comprehensive research study examining tyre wear and its Indian perspective. Tyre wear understood as a factor affecting road safety, environmental health, and economic sustainability. The study identifies factors affecting tyre wear and provides overview regarding tyre wear generation in India, encompassing road infrastructure, vehicle characteristics, driving patterns, and environmental factors. Moreover, it examines the adverse effects of these particles on human health, such as respiratory ailments and cardiovascular diseases, as well as their impact on ecosystems. This paper delves measures to measure tyre wear and safeguard both environmental and public health. It also covers the tyre wear measurement methodologies to
Joshi, Amol, Khairatkar, Vyankatesh, Belavadi Venkataramaiah, Shamsundara
Adaptive Restraints for Equitable protection.2026-26-0015To be published on 01/16/2026
Real-world crashes involve diverse occupants, but traditional restraint systems are designed for a limited range of body types considering the applicable regulations and protocols. While conventional restraints are effective for homogeneous occupant profiles, these systems often underperform in real-world scenarios with diverse demographics, including variations in age, gender, and body morphology. This study addresses this critical gap by evaluating adaptive restraint systems aligned with the forthcoming EURO NCAP 2026 protocols, which emphasize real-world crash diversity and occupant inclusivity. Through digital studies of frontal impact scenarios, we analyse biomechanical responses using adaptive restraints across varied occupant demographics, focusing on head and chest injury (e.g., Head Injury Criterion [HIC] and Chest Compression Criterion [CC]). This study used a Design of Experiments (DOE) approach to optimize occupant protection by timing the activation of these adaptive
satija, Anshul, Suryawanshi, Yuvraj, Chavan, Avinash, Rao, Guruprakash
An Outer Waist Seal with Integrated Glass Wiping Mechanism for a Window Frame of a Vehicle2026-26-0011To be published on 01/16/2026
This innovation addresses a major safety concern where drivers experience poor visibility of the Outside Rear View Mirror due to rain, fog, dust, or ice accumulation on the side door window glass. Existing solutions like hydrophobic coatings and heated door window glasses offer limited effectiveness, leading to the need for a more reliable and efficient system. To solve this issue, we have modified Outer Waist Seal by integrating Glass Wiping Mechanism in it. The Outer Waist Seal is a weatherproof strip located at the bottom edge of a vehicle’s side window, attached to the door panel. It prevents heavy water flow, dust, and debris from entering the door cavity while also supporting the window glass during its movement. This system features a stationary fixed arm and a rotating arm with an attached wiper blade, driven by a low-speed, high-torque motor and connected with the vehicle's Body Control Module. Upon activation, the rotating arm with blade wipes the Outside Rear View Mirror
Neelam, Rajat, Chowdhury, Ashok, Panchal, Girish, Kumar, Saurav
Decision-fatigue mitigation in Automotive HMI System2026-26-0652To be published on 01/16/2026
Abstract - With advent of digital displays in driver cabins in commercial vehicles, the drivers are getting offered with many features. Due to availability of vast number of features, drivers face decision fatigue in choosing the appropriate features. Many are unaware of all available functionalities displayed in the HMI System, leading to a bare minimum usage or complete neglect of helpful features. This not only affects the driving efficiency but also increases cognitive load, especially in complex driving scenarios. Instead of manually choosing between multiple settings, the driver can simply activate a recommendation mode, allowing the system to optimize selections dynamically. Novelty of this proposal focuses on introducing Intelligence in HMI Systems in such a way that it will maximize the usage index and reduce decision fatigue in drivers. To achieve this, an AI-driven recommendation system is introduced, based on User Customization and Adaptive Learning Model along with ML
K, Sunil, Dhoot, Disha
Cybersecurity: Applying Threat Modeling to Sensor-Control Architectures in Autonomous Off-Highway Vehicles2025-28-031611/06/2025
The rapid evolution of autonomy in Off-Highway Vehicles (OHVs)—spanning agriculture, mining, and construction—demands robust cybersecurity strategies. Sensor-control systems, the cognitive core of autonomous OHVs, operate in harsh, connectivity-limited environments. This paper presents a structured approach to applying threat modeling to these architectures, ensuring secure-by-design systems that uphold safety, resilience, and operational integrity.
Kotal, Amit
Analysis of Artificial Intelligence in Biofuel Industry: A Case Study2025-28-034111/06/2025
Increasing reservations about the mass consumption of fossil fuels because of their hazardous impact on ecosystem has led to an increased focus to look for renewable alternative. In the last decade, much research is made on production of biodiesel for blending with diesel to reduce diesel consumption in the transport sector. Studies suggest that biofuel do not provide any harm to environment because of their availability from natural resources. Biofuel production and its further utilization requires identifying unknown parameters having nonlinear relationships with each other. Accurate and better predictive tools are required at different stages during its usage. AI technique is one such tool that can provide support during production and utilization. The technique is utilized in designing, monitoring, predicting, decision making and optimizing systems. The present research investigates the areas of AI usage which makes use of models for designing better production strategies, accurate
KUMAR, VIVEK, Vashist, Devendra
Experimental Study on Single Cylinder Diesel Engine Port Water Injection and Blends of Biodiesel for Performance & Emission2025-32-006211/03/2025
The increasing demand for alternative fuels due to environmental concerns has sparked interest in biodiesel as a viable substitute for conventional diesel. Most automotive engines use diesel fuel engines. They contribute a major portion of today’s air pollution, which causes serious health issues including chronic bronchitis, respiratory tract infections, heart diseases, and many more. Greenhouse gases are produced using fossil fuel in the engines and causes global warming. To combat air pollution, we need clean renewable and environmentally friendly fuels. Due to depletion of fossil fuels, it has become necessary to find alternative fuel which are safer for the environment and humankind. One such possible solution is Biodiesel. In present study, series of experiments were carried out on 435cc naturally aspirate DI Diesel engine with port water injection and different blend of Jatropha based Biodiesel. Biodiesel was derived from Jatropha oil, produced using a heterogeneous catalyst
Bhoite, Vikram, Syed, Kaleemuddin, Chaudhari, Sandip, Khairnar, Girish, Jagtap, Pranjal, Reddy, Kameswar
Research on Automotive Vibration Comfort Based on Psychological Indicators2025-99-004610/17/2025
In recent years, the vibration comfort of automobiles has become a key consideration for consumers when purchasing vehicles. This study introduces human electrocardiogram (ECG) signals and blood pressure, and proposes a comfort prediction model based on physiological indicators. The research steps include: obtaining riding indicators and subjective feelings on flat and bumpy roads, and analyzing the differences in heart rate variability indicators and blood pressure under different road conditions through paired sample tests; playing different sound signals on bumpy roads, and using repeated measures analysis of variance to explore their impacts on physiological indicators and subjective evaluations; conducting data validity tests on the subjective evaluation results, and constructing a comfort prediction model based on correlation analysis and support vector regression algorithm. The results show that there are significant differences in indicators such as the average RR interval and
Hu, Li, Chen, Hao, Wan, Yeqing, Tian, Ruili, Xu, Jiahao
Research on the Construction of Hardware Reliability System of Electronic Equipments for Rail Traffic Vehicles2025-99-006410/17/2025
Reliability engineering is a science and technology to fight against product failure, which includes reliability requirements and allocation, reliability analysis, reliability modeling and prediction, reliability design, reliability test, reliability testing, operational reliability and other activities. The important condition for the high-quality development of rail traffic is the stable operation of equipment, and the electronic equipment of rail traffic vehicles is mostly the “brain” of the key system. At present, the contradiction between performance optimization and structural complexity is increasingly prominent. In order to cope with the variable operating conditions and harsh environment of vehicles, the requirements for reliability are getting higher and higher. It is of great significance to carry out reliability engineering for its high-quality development. This paper introduces the construction of the reliability system of the electronic equipment of rail traffic vehicles
Song, Xiaozhong, Song, Mengsi, Wang, Lei
Numerical Analysis of Deformation Adjustment on Wide Subgrade in Permafrost Region by Prefabricated Bridge-Type Pavement2025-99-005710/17/2025
Uneven thawing of frozen soil in the subgrade of wide highway leads to settlement difference of the pavement, which affects the driving comfort. The prefabricated bridge-type pavement mitigates the disease of wide subgrade in permafrost region by applying prefabricated slabs in the subgrade. In order to verify the deformation adjustment effect on wide subgrade of prefabricated bridge-type pavement, earth-filled pavement and prefabricated bridge-type pavement numerical models were established and subgrade mechanical behaviors were analyzed under frozen soil thawing in active layer, frozen soil thawing in localized deteriorated zone and vehicle loading. Comparative analysis of pavement settlement of earth-filled pavement and prefabricated bridge-type pavement under various cases is carried out. The results show that the maximum settlement of prefabricated bridge-type pavement decreases by about 32%~48%, and the settlement difference decreases by about 45%~65%, which has a good adjustment
Yu, Yuanqing, Zhang, Li, Wang, Shan, Cheng, Litao
Evaluation and Analysis of the Current Situation of Security Identification Management Based on Structural Equation Model2025-99-005210/17/2025
In order to explore the actual safety management effect of safety signs and better carry out on-site safety management, this article independently developed an evaluation scale for the management effect of safety signs. Taking a certain marine engineering equipment manufacturing enterprise as the object, the management of safety signs was evaluated and analyzed. Firstly, 11 questions from the SPSSAU online analysis scale were selected as measurement indicators to test safety label management. Factor analysis was used to select three factors: cognitive function, compliance behavior, and leadership attitude. Secondly, a safety identification management model was constructed based on structural equation modeling (SEM) with three factors as latent variable factors. Through fitting tests, it was found that cognitive effects, compliance behaviors, and leadership attitudes have a certain impact on management effectiveness, and there is a positive correlation between the three latent variable
Wang, Chunyuan, Yang, Guihua, Li, Xinyao, Zhu, Jie
Architecture Analysis & Design Language (AADL) Annex F: AADL Annex for the FACE™ Technical Standard Edition 3.0AS5506/4 (Current)10/13/2025
AS-2C Architecture Analysis and Design Language
SAE TOMORROW TODAY - Introducing "TeleHealth" Video Chats For Car Repair1353810/10/2025
Have you every wished you could call up an experienced auto tech to diagnosis your car trouble? One company is doing just that by transforming the DIY auto repair experience. With nearly 1 million app downloads, Tinker DIY is the only platform that offers live video support with ASE-certified mechanics for auto repairs, rideshare inspections, and used car evaluations. Akin to "telehealth for your car," Tinker eliminates the need for YouTube guesswork or costly auto shop visits by guiding users through step-by-step auto repairs in real-time. Listen in as we sit down with authors Megan Han, Head of Operations, to discuss how Tinker helps connects users with expert guidance to help them diagnose and repair their vehicles on their own. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the
Patterson, Lori
A Study of Variables Affecting Piston Skirt Loads on the Oppossed Piston Two Stroke Diesel Engine2025-01-049909/16/2025
A kinematic model of primary piston motion was developed along with a simplified combustion model for the purpose of evaluating various factors that could impact the piston skirt thrust loads of an Opposed Piston Two Stroke Diesel engine. The assessment considered connecting rod length, wrist pin mass, peak cylinder pressure, indicated torque, and wrist pin offset. The results show that small changes in connecting rod length could realize significant improvements in piston skirt friction as well as increased engine performance. The results indicate that small increases in overall engine width should be considered when optimizing for reduced oil consumption and enhanced piston skirt lubrication.
Srodawa, John
Human Performance Modeling Using Generative Ai Principles2025-01-048609/16/2025
Evaluation of integrated human-machine systems depends on having accurate human performance models. However, such models often provide only instantaneous snapshots of cognitive state and fail to account for ongoing dynamics. We argue that generative AI solutions can be used to alleviate this problem. Generative AI tools have been successful when applied to problems that have repeatable structure captured by a low-dimensional lexicon and associated with large amounts of training data. These properties apply to human performance modeling as well. Here, we introduce our Generative Cognitive Modeling Tool, a prototype human performance model developed using strategies from the generative AI community. We demonstrate the utility of our approach using simulated driving data. Our results show that cognitive states associated with driving errors are not randomized events but rather the outcome of continuous dynamics and are predictable up to 25 secs prior to the error event. We also find that
Gordon, S. M., Lawhern, V. J., Touryan, J.
Fitting More Functionality Into Increasingly Smaller, Smarter Devices: Heterogeneous IntegrationTBMG-5376909/01/2025
The increased functionality of today’s medical devices is astounding. Optical devices, for example, analyze chemicals, toxins, and biologic specimens. Semiconductor devices sense, analyze, and communicate. Microelectromechanical system (MEMS) devices utilize inertial methods to detect motion, direct light, and move components over short distances. Radiofrequency (RF) devices communicate wirelessly to other devices directly and remotely over the Internet. Handheld acoustic devices scan the body and build a virtual 3D model that shows conditions in the body. The innovation currently happening in the medical device industry is staggering, limited only by imagination and finding technical methods to implement the vision.
Surgical Microscope Uses Tiny CamerasTBMG-5377209/01/2025
To meet the need for better 3D imaging that works during live surgery, researchers recently developed a new kind of surgical microscope called the Fourier light-field multiview stereoscope, known as FiLM-Scope.
PHOx: An Innovative, Safer Polymer for Implantable Medical DevicesTBMG-5378809/01/2025
University of Liège Liège, Belgium
Wristband All-in-One Monitor for Diabetes, Cardio CareTBMG-5377409/01/2025
A wearable wristband could significantly improve diabetes management by continuously tracking not only glucose but also other chemical and cardiovascular signals that influence disease progression and overall health.
Tiny Microlaser Sensors Offer Supercharged BiosensingTBMG-5378409/01/2025
Researchers have developed a 3D microprinted sensor for highly sensitive on-chip biosensing. The sensor, which is based on a polymer whispering-gallerymode microlaser, opens new opportunities for developing high-performance, cost-effective lab-on-a-chip devices for early disease diagnosis.
Toothbrush-Shaped Ultrasound Allows for Gum MonitoringTBMG-5377609/01/2025
A toothbrush-shaped ultrasound transducer can provide a less invasive screening for gum disease. In proof-of-concept demonstrations on animal tissues, the device produced measurements similar to those of a manual probe.
Noninvasive Imaging Method Can Penetrate Deeper Into Living TissueTBMG-5370109/01/2025
Metabolic imaging is a noninvasive method that enables clinicians and scientists to study living cells using laser light, which can help them assess disease progression and treatment responses. But light scatters when it shines into biological tissue, limiting how deeply it can penetrate and hampering the resolution of captured images.
Soft Brainstem Implant Delivers High-Resolution HearingTBMG-5377509/01/2025
Researchers have developed a soft, thin-film auditory brainstem implant (ABI). The device uses micrometer-scale platinum electrodes embedded in silicone, forming a pliable array just a fraction of a millimeter thick. This novel approach enables better tissue contact, potentially preventing off-target nerve activation and reducing side effects.
Handheld Device Could Transform Heart Disease ScreeningTBMG-5378109/01/2025
Researchers have developed a handheld device that could potentially replace stethoscopes as a tool for detecting certain types of heart disease.
Leadless Pacemaker Prevents Invasive SurgeriesTBMG-5377109/01/2025
Researchers have created a groundbreaking prototype for a new kind of leadless pacemaker designed for both children and adults. The innovative micropacemaker would be the first fully leadless system to be placed in the pericardial space surrounding the heart. That would allow the device to be implanted in a minimally invasive way in children and those with congenital heart disease, while also providing a lower-risk leadless pacemaker option for adults.
Smart Capsule Designed to Study GI TractTBMG-5377309/01/2025
Engineers have developed a smart capsule called PillTrek that can measure pH, temperature, and a variety of different biomarkers. It incorporates simple, inexpensive sensors into a miniature wireless electrochemical workstation that relies on low-power electronics. PillTrek measures 7 mm in diameter and 25 mm in length, making it smaller than commercially available capsule cameras used for endoscopy but capable of executing a range of electrochemical measurements.
Soft Robot Modules for New Haptic InteractionsTBMG-5378309/01/2025
EPFL researchers have developed a customizable soft robotic system that uses compressed air to produce shape changes, vibrations, and other haptic, or tactile, feedback in a variety of configurations. The device holds significant promise for applications in virtual reality, physical therapy, and rehabilitation.
3D Printing Self-Heating Microfluidic DevicesTBMG-5371409/01/2025
MIT researchers have used 3D printing to produce self-heating microfluidic devices, demonstrating a technique which could someday be used to rapidly create cheap, yet accurate, tools to detect a host of diseases.
Better Data for Bodies in MotionTBMG-5358008/07/2025
The return to Earth is a rough ride for astronauts, from the violent turbulence of atmospheric entry to a jarring landing. Hitting the ground in a Soyuz capsule is the equivalent of driving a car backward into a brick wall at 20 mph, and it’s resulting in more head and neck injuries than NASA computer models predicted. To collect more data, NASA’s Johnson Space Center in Houston commissioned a Small Business Innovation Research (SBIR) project to develop a wearable data recorder for astronaut spacesuits. One result, created by Diversified Technical Systems Inc. (DTS), is a miniature commercial device that now collects and transmits data for any application from airplane test flights to tracking high-value shipments.
An AI System Empowers Robots with Human-Like PerceptionTBMG-5353508/01/2025
The wealth of information provided by our senses that allows our brain to navigate the world around us is remarkable. Touch, smell, hearing, and a strong sense of balance are crucial to making it through what to us seem like easy environments such as a relaxing hike on a weekend morning.
Tri-Rotor Steering Wheel Yields Programmable Vehicular ControlTBMG-5355408/01/2025
Innovators at NASA Johnson Space Center have developed a programmable steering wheel called the Tri-Rotor, which allows an astronaut the ability to easily operate a vehicle on the surface of a planet or moon despite the limited dexterity of their spacesuit. This technology was originally conceived for the operation of a lunar terrain vehicle (LTV) to improve upon previous Apollo-era hand controllers. In re-evaluating the kinematics of the spacesuit, such as the rotatable wrist joint and the constant volume shoulder joint, engineers developed an enhanced and programmable hand controller that became the Tri-Rotor.
Exploring the Correlation between Physiological States and Driving Behavior on Highways with Integrated ECG Measurements2025-01-029207/02/2025
Human driver errors, such as distracted driving, inattention, and aggressive driving, are the leading causes of road accidents. Understanding the underlying factors that contribute to these behaviors is critical for improving road safety. Previous studies have shown that physiological states, like raised heart rates due to stress and anxiety, can influence driving behavior, leading to erratic driving and an increased risk of accidents. In this study, we conducted on-road tests using a measurement system based on the Driver-Driven vehicle-Driving environment (3D) method. We collected physiological signals, specially electrocardiography (ECG) data, from human drivers to examine the relationship between physiological states and driving behaviors. The aim was to determine whether ECG can serve as an indicator of potential risky driving behaviors, such as sudden acceleration and frequent steering adjustments. This information enables automated driving (AD) systems to intervene in dangerous
Ji, Dejie, Flormann, Maximilian, Bollmann, Julian, Henze, Roman, Deserno, Thomas M.
Paper-Based Diagnostic Provides Rapid Disease DetectionTBMG-5343607/01/2025
A paper-based diagnostic device can detect COVID-19 and other infectious diseases in under 10 minutes, without the need for sophisticated lab equipment or trained personnel.
Cracking the Code of Cardiac Care: How AI-Enabled ECG Could Solve Key Challenges in CVD DiagnosisTBMG-5343407/01/2025
Cardiovascular disease (CVD) remains a leading — and growing — cause of morbidity and mortality worldwide, with the economic burden of care projected to skyrocket over the coming decades.
Medical Device Makers: Ask These 7 Questions for an Effective Wireless Test ProgramTBMG-5344207/01/2025
When it comes to technology adoption, the healthcare industry is historically risk averse. Despite strict regulations protecting patient data and concerns over medical outcomes, a new report from Mordor Intelligence reports that the global market for wireless portable medical devices is expected to exceed $31.4 billion this year. 1 The same report projects 12.14 percent compound annual growth through 2030 to meet the demands of a burgeoning geriatric population for wearable and implantable devices and in-home vital signs monitoring.
Burn, Freeze, Shock, or Shear: The Expanding Frontiers of Ablation TherapiesTBMG-5343507/01/2025
Pulsed-field ablation (PFA) has dominated the medical device news in recent years, yet it is only one modality among many in the world of ablation therapies, and while groundbreaking, it is limited to a few diseases. It’s time to broaden the conversation and highlight the myriad innovations in ablation technology transforming medical practice.
AI-Powered Analysis of Stent HealingTBMG-5344007/01/2025
A research team has developed DeepNeo, an AI-powered algorithm that automates the process of analyzing coronary stents after implantation. The tool matches medical expert accuracy while significantly reducing assessment time. With strong validation in both human and animal models, Deep-Neo has the potential to standardize monitoring after stent implantation and thus improve cardiovascular treatment outcomes.
Common Pitfalls When Specifying Bearings for Medical DevicesTBMG-5344307/01/2025
Engineering precision is an art of nuance — especially when it comes to selecting the right bearing for medical devices. What begins as a straightforward specification process quickly becomes a complex yet familiar puzzle of competing requirements. Oftentimes, engineers discover that a bearing’s performance extends beyond its basic dimensional specs, involving considerations of material properties, system integration and supply chain dynamics.
Inside the OEM: Boston Scientific to Focus on Cardiology InnovationTBMG-5345007/01/2025
Boston Scientific entered 2025 with significant momentum. Fresh off a standout first quarter, the company’s leadership has outlined a compelling vision for sustainable long-term growth rooted in high-performing cardiology franchises, operational precision, and disruptive technologies in electrophysiology (EP). Leaders spoke at a recent Bank of America Healthcare Conference. The discussion marked outgoing CFO Dan Brennan’s final investor presentation and underscored Boston Scientific’s transformation into one of medtech’s most durable growth stories.
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