Browse Topic: Anatomy

Items (5,109)
This invention solves a significant safety issue where drivers have low visibility of the Outside Rear View Mirror (ORVM) in the case of rain, fog, dust or ice formation on the Side Door Window Glass (SDWG). Currently developed methods, such as hydrophobic finishing or films and heated window glass on the doors, provide temporary or weak results, and thus, a more successful and dependable method is demanded. In order to address this problem, we have modified the Outer Waist Seal, which includes a Glass Wiping Mechanism in it. Outer Waist Seal is a type of weather strip fixed on the bottom of the side window of a vehicle on the panel of the door. It does not allow the flow of heavy water, dust and debris into the door cavity, besides supporting the glass on the window when it is in a movement process. The stationary fixed arm of this system is coupled with a rotating arm and an attached wiper blade powered by a low-speed-high-torque motor and interfaced with the Body Control Module (BCM
Neelam, RajatChowdhury, AshokPanchal, GirishKumar, Saurav
This study introduces a novel in-cabin health monitoring system leveraging Ultra-Wideband (UWB) radar technology for real-time, contactless detection of occupants' vital signs within automotive environments. By capturing micro-movements associated with cardiac and respiratory activities, the system enables continuous monitoring without physical contact, addressing the need for unobtrusive vehicle health assessment. The system architecture integrates edge computing capabilities within the vehicle's head unit, facilitating immediate data processing and reducing latency. Processed data is securely transmitted via HTTPS to a cloud-based backend through an API Gateway, which orchestrates data validation and routing to a machine learning pipeline. This pipeline employs supervised classifiers, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF) to analyze features such as temporal heartbeat variability, respiration rate stability, and heart rate. Empirical
Singh, SamagraPandya, KavitaJituri, Keerti
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
The objective of the present study is 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 analysed for driver dummy in high speed side impacts for vehicle model years, MY2016-2024. Side impact test data from the tests conducted at The Automotive Research Association of India (ARAI) is examined for MY2016-2024. The test procedure is as specified in AIS099 or UNECE R95, wherein a 950kg moving deformable barrier (MDB) impacts the side of stationary vehicle at 50km/hr. An Instrumented 50th percentile male EUROSID-2 Anthropomorphic Test Device is positioned in the driver seat on the impacting side. Occupant kinematic data, including head accelerations, Head Injury Criterion (HIC15), Torso deflections at thorax and abdominal ribs, spine accelerations at T12 vertebra, and pelvis accelerations are evaluated and compared. The “peak” and “time to
Mishra, SatishBorse, TanmayKulkarni, DileepMahajan, Rahul
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, PavanRao, GuruprakashPendurthi, Chaitanya SagarNehe, VaibhavChavan, Avinash
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 type. Through digital studies of frontal impact scenarios, we analyze biomechanical responses using adaptive restraints across varied occupant demographics, focusing on head and chest injury (e.g., Chest Compression Criterion [CC]). This study used a Design of Experiments (DOE) approach to optimize occupant protection by timing the actuating of these adaptive systems. The results indicate that activating
satija, AnshulSuryawanshi, YuvrajChavan, AvinashRao, Guruprakash
One of the biggest goals for companies in the field of artificial intelligence (AI) is developing “agentic” systems. These metaphorical agents can perform tasks without a guiding human hand. This parallels the goals of the emerging urban air mobility industry, which hopes to bring autonomous flying vehicles to cities around the world. One company wants to do both and got a head start with some help from NASA.
For driver-automation collaborative driving, accurately monitoring driver state in smart cockpits is crucial for enhancing safety, comfort, and human-computer interactions. However, existing research lacks clarity regarding the relationships among driver states, and there is no consensus on the optimal physiological channels to reliably capture these states. This study examined three critical psychological constructs (i.e., perceived risk, trust in the automated driving system, and driver fatigue) using a 37-participant driving simulation experiment. We manipulated multiple factors to induce distinct driver states among participants and recorded subjective scale ratings, heart rate variability, galvanic skin response, and eye movement data. Subjective scale ratings were adopted as the ground truth to examine the corresponding measurement relationships between different physiological signals and the three targeted dimensions of driver states. Our results proved that perceived risk
Wang, ZhenyuanLi, QingkunWang, WenjunLiu, WeiminSun, ZhaocongCheng, Bo
Perceiving the movement characteristics of specific body parts of a driver is crucial for determining their activity. Moreover, the driver’s body posture significantly impacts personnel safety during collision. This study investigates the creation of a dataset using Kinect depth camera for acquiring, organizing, annotating with skeleton tracking assistance, and optimizing interpolation. The pose recognition methods enhanced through an anchor regression mechanism, leading to the refinement of a lightweight anchor regression network capable of end-to-end learning ability from depth images. The improved backbone neck head structure offers advantages of reduced model parameters and enhanced accuracy. This engineering optimization makes it better suited for practical applications within vehicles with limited computational resources limitations and high real-time demands.
Xu, HailanLi, WuhuanLu, JunWang, XinHe, WenhaoChen, ZhenmingLiu, Yunjie
102.5
Catão, Vítor Gustavo GomesMachado, Amanda RibeiroFiorentin, Felipe KleinSilva, João Pedro AnutoBernardino, Lucas GabrielFiorentin, Thiago AntonioCarboni, Andrea Piga
With the continuous progress of modern high-speed railroad technology, the speed of train operation is increasing, and its aerodynamic effect when traversing the tunnel is also getting more and more attention from researchers. In this paper, we constructed a three-dimensional flow field model of the wrist-arm insulator in the tunnel and considered the train speed, tunnel structure, size and position of the wrist-arm insulator, and other factors, and then through the simulation software, we simulated the change of the airflow in the tunnel when the high-speed train enters the tunnel. Through the simulation analysis, we obtained the characteristics of the flow field distribution around the wrist-arm insulator in the tunnel when the high-speed train crosses the tunnel. The results show that when the train crosses the tunnel at a high speed, the airflow inside the tunnel is strongly squeezed and disturbed by the train, forming a complex airflow field. When the train passes by, the wrist
Zhang, KangkangMa, Jianqiao
Chimeric antigen receptor (CAR) T cell therapy represents a breakthrough in cancer treatment. By harnessing the body’s immune system, CAR T therapy provides a powerful, personalized treatment option that can be particularly effective for treating blood cancers like leukemia — potentially offering patients a second chance at life when other treatments have failed.
Cornell researchers have developed a low-power microchip they call a “microwave brain,” the first processor to compute on both ultrafast data signals and wireless communication signals by harnessing the physics of microwaves.
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, VIVEKVashist, Devendra
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, VikramSyed, KaleemuddinChaudhari, SandipKhairnar, GirishJagtap, PranjalReddy, Kameswar
Innovators at the NASA Johnson Space Center have developed a soft, wearable, robotic upper limb exoskeleton garment designed to actively control the shoulder and elbow, both positioning the limb in specific orientations and commanding the limb through desired motions. The invention was developed to provide effective upper extremity motor rehabilitation for patients with neurological impairments (e.g., traumatic brain injury, stroke).
In blinding bright light or pitch-black dark, our eyes can adjust to extreme lighting conditions within a few minutes. The human vision system, including the eyes, neurons, and brain, can also learn and memorize settings to adapt faster the next time we encounter similar lighting challenges.
University College London London, England
In an era where technology increasingly merges with healthcare to enhance patient outcomes, a groundbreaking study conducted by Fuyang Yu and his colleagues introduces an innovative approach to lower limb rehabilitation. Their research, published in Cyborg Bionic Systems, outlines the development of a lower limb rehabilitation robot designed to significantly improve the safety and effectiveness of gait training through a novel method based on human-robot interaction force measurement.
Researchers have developed novel ISM-based sweat sensors that feature enhanced signal stability and performance and avoid skin contact, while also being reusable, making them practical for daily use.
KAIST Daejeon, Republic of Korea
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, LiChen, HaoWan, YeqingTian, RuiliXu, Jiahao
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, XiaozhongSong, MengsiWang, Lei
Background. Road safety is a major public concern, as road traffic accidents result in numerous casualties and significant economic losses. In traffic collisions, the pattern of injuries sustained by drivers often varies depending on various accident factors. The interactions between safety device use, alcohol consumption status, and injury locations can reveal important association patterns and insights. Therefore, we examine patterns in injury locations, accounting for safety device use and alcohol consumption. Method. In this study, we applied two complementary graphical approaches, including multiple correspondence (MCA) analyses and mosaic plots (MPs). Results. The MPs reveal the existence of meaningful patterns between injury location, alcohol consumption, and safety device. Likewise, the MCA reveals that head/neck injuries are more likely to be associated with alcohol impairment. In particular, sober status and safety device used tend to be associated with all injury locations
Chen, Ching-FuWa Lukusa, Martin Tshishimbi
A team of Caltech engineers has developed a technique for inkjet printing arrays of special nanoparticles that enables the mass production of long-lasting wearable sweat sensors. These sensors could be used to monitor a variety of biomarkers, such as vitamins, hormones, metabolites, and medications, in real time, providing patients and their physicians with the ability to continually follow changes in the levels of those molecules.
A team of engineers has developed a low-cost, durable, highly-sensitive robotic ‘skin’ that can be added to robotic hands like a glove, enabling robots to detect information about their surroundings in a way that’s similar to humans.
Although lithium is highly effective to treat bipolar disorder, the chemical has a narrow therapeutic window — too high a dose can be toxic to patients, causing kidney damage, thyroid damage, or even death, while too low a dose renders the treatment ineffective.
Researchers have developed a portable device capable of detecting rare genetic mutations from a single drop of blood. The instrument was shown in lab experiments to quickly and accurately test for a genetic condition called hereditary transthyretin amyloidosis, which can cause heart problems. The disease is caused by a genetic mutation in the transthyretin gene. This mutation can lead to heart failure, especially in people of West African ancestry. The device, which amplifies nucleic acid segments and detects mutations using a microchip aims to bring a device equal to the performance and accuracy of a polymerase chain reaction (PCR) test, typically confined to laboratories, into doctors’ offices, homes, and community centers.
A research team at RCSI University of Medicine and Health Sciences has developed a 3D-printed implant to deliver electrical stimulation to injured areas of the spinal cord offering a potential new route to repair nerve damage. Details of the 3D-printed implant and how it performs in lab experiments have been published in the journal Advanced Science.
ETH Zurich Zurich, Switzerland
Image sensors built into every smartphone and digital camera, distinguish colors like the human eye. In our retinas, individual cone cells recognize red, green and blue (RGB). In image sensors, individual pixels absorb the corresponding wavelengths and convert them into electrical signals.
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
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.
Researchers have developed a handheld device that could potentially replace stethoscopes as a tool for detecting certain types of heart disease.
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.
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.
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.
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.
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, DejieFlormann, MaximilianBollmann, JulianHenze, RomanDeserno, Thomas M.
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.
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.
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.
Items per page:
1 – 50 of 5109