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Wearable Electronic Devices

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Innovative Approaches to Gender Classification through Unsupervised Machine Learning and Multi-Activity Fusion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40040187
In the last decade, gender recognition has garnered significant attention for its diverse applications in healthcare, sports, rehabilitation, and wearable electronics. This study offers a wearable sensor device to record various activities using iner...
Adult Algorithms Cluster Analysis Female Humans Machine Learning Male Unsupervised Machine Learning Wearable Electronic Devices
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Walking Speed and Uncertainty Estimation Using Mixture Density Networks for Dynamic Ambulatory Environments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40040176
Walking speed, often considered a representative indicator of activity levels, becomes notably reduced as muscle strength and cardiovascular function decline with aging. Wearable walking rehabilitation devices aim to alleviate the effort during walki...
Aged Algorithms Female Humans Male Neural Networks, Computer Uncertainty Walking Walking Speed Wearable Electronic Devices
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Remote Motor Rehabilitation: EMG-IMU based Deep Learning Model Improves the Estimate of Wrist Kinematics.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40040042
Technology for motor rehabilitation faces challenges in uncontrolled settings, such as at home. In these real-world scenarios, robust signals like electromyographic (EMG) and inertial measurement unit (IMU) data are crucial for decoding continuous hu...
Adult Biomechanical Phenomena Deep Learning Electromyography Female Humans Male Neural Networks, Computer Rehabilitation Wearable Electronic Devices Wrist
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ECG Beat-By-Beat Classification Using Hybrid Transformer Neural Network Model in Smart Health.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039969
Wearable cardiac monitors can be used to detect potential heart attack by syncing with smartphone apps for instant data analysis and alerts. Our goal is to build an efficient smart health application to help patients prevent and early diagnose the ri...
Algorithms Electrocardiography Humans Neural Networks, Computer Signal Processing, Computer-Assisted Smartphone Wearable Electronic Devices
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Cough-DL: A Deep Learning Model for Ear-Worn Cough Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039966
Cough serves as a crucial bio-marker for evaluation and monitoring of pulmonary conditions. With growing interest towards automatic cough detection systems, it's important to acknowledge the existing hurdles on the way for a robust cough counter. The...
Cough Deep Learning Humans Monitoring, Ambulatory Signal Processing, Computer-Assisted Sound Spectrography Wearable Electronic Devices
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Enhanced In-Home Human Activity Recognition Using Multimodal Sensing and Spatiotemporal Machine Learning Architecture.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039859
In this research, we present an enhanced human activity recognition (HAR) framework using advanced machine learning models incorporating temporal dynamics, leveraging multimodal sensor data. Data from wearable wristbands and real-time location system...
Activities of Daily Living Algorithms Human Activities Humans Machine Learning Neural Networks, Computer Wearable Electronic Devices
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Enhancing Wearable based Real-Time Glucose Monitoring via Phasic Image Representation Learning based Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039837
In the U.S., over a third of adults are pre-diabetic, with 80% unaware of their status. This underlines the need for better glucose monitoring to prevent type 2 diabetes and related heart diseases. Existing wearable glucose monitors are limited by th...
Algorithms Blood Glucose Blood Glucose Self-Monitoring Deep Learning Humans Image Processing, Computer-Assisted Machine Learning Signal Processing, Computer-Assisted Wearable Electronic Devices
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Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039809
Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly in college students who face a range of stressors including academic pressures, interpersonal relationships, and financial concerns. The ability to pr...
Adult Anxiety Cognition Electrocardiography Female Heart Rate Humans Machine Learning Male Signal Processing, Computer-Assisted Stress, Psychological Support Vector Machine Wearable Electronic Devices Young Adult
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Deep Learning-Based Subject Independent Human Activity Recognition using Smart Lacelock Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039707
Human Activity Recognition (HAR) field is rapidly growing and the classification of human activities based on sensor data is crucial for applications in healthcare, rehabilitation and numerous other sectors. In this paper we use a novel device and at...
Accelerometry Algorithms Deep Learning Human Activities Humans Neural Networks, Computer Shoes Wearable Electronic Devices
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Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 40053619
The objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve reach in individuals with chro...
Adult Aged Algorithms Arm Biomechanical Phenomena Discriminant Analysis Electromyography Feasibility Studies Female Humans Machine Learning Male Middle Aged Movement Muscle, Skeletal Pattern Recognition, Automated Robotics Stroke Stroke Rehabilitation Survivors Wearable Electronic Devices
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