AIMC Topic: Wearable Electronic Devices

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Development of a Wearable Sleeve-Based System Combining Polymer Optical Fiber Sensors and an LSTM Network for Estimating Knee Kinematics.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Feb 13, 2025
This study presents a novel wearable solution integrating Polymer Optical Fiber (POF) sensors into a knee sleeve to monitor knee flexion/extension (F/E) patterns during walking. POF sensors offer advantages such as flexibility, light weight, and robu...
Optical Fibers Knee Polymers Knee Joint Walking Young Adult Adult Biomechanical Phenomena Male Wearable Electronic Devices Algorithms Equipment Design Humans Female Neural Networks, Computer Reproducibility of Results
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Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation.

Computers in biology and medicine Feb 12, 2025
Wearable technology has expanded the applications of photoplethysmography (PPG) in remote health monitoring, enabling real-time measurement of various physiological parameters, such as heart rate (HR), heart rate variability (HRV), and respiration ra...
Heart Rate Respiratory Rate Wearable Electronic Devices Photoplethysmography Humans Adult Signal Processing, Computer-Assisted Female Male Deep Learning
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Rapidly self-healing electronic skin for machine learning-assisted physiological and movement evaluation.

Science advances Feb 12, 2025
Emerging electronic skins (E-Skins) offer continuous, real-time electrophysiological monitoring. However, daily mechanical scratches compromise their functionality, underscoring urgent need for self-healing E-Skins resistant to mechanical damage. Cur...
Skin Movement Humans Machine Learning Wearable Electronic Devices Monitoring, Physiologic
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Deep CNN-based detection of cardiac rhythm disorders using PPG signals from wearable devices.

PloS one Feb 12, 2025
Cardiac rhythm disorders can manifest in various ways, such as the heart rate being too fast (tachycardia) or too slow (bradycardia), irregular heartbeats (like atrial fibrillation-AF, ventricular fibrillation-VF), or the initiation of heartbeats in ...
Atrial Fibrillation Heart Rate Humans Neural Networks, Computer Electrocardiography Wearable Electronic Devices Signal Processing, Computer-Assisted Photoplethysmography Arrhythmias, Cardiac
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A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.

Proceedings of the National Academy of Sciences of the United States of America Feb 11, 2025
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions. However, the requirements for device-skin cou...
Textiles Male Deep Learning Wearable Electronic Devices Monitoring, Physiologic Sleep Clothing Humans Female Adult
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Low-Power and Low-Cost AI Processor With Distributed-Aggregated Classification Architecture for Wearable Epilepsy Seizure Detection.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Wearable devices with continuous monitoring capabilities are critical for the daily detection of epileptic seizures, as they provide users with accurate and comprehensible analytical results. However, current AI classifiers rely on a two-stage recogn...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Electroencephalography Epilepsy Seizures Artificial Intelligence Algorithms Wearable Electronic Devices
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RVDLAHA: An RISC-V DLA Hardware Architecture for On-Device Real-Time Seizure Detection and Personalization in Wearable Applications.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Epilepsy is a globally distributed chronic neurological disorder that may pose a threat to life without warning. Therefore, the use of wearable devices for real-time detection and treatment of epilepsy is crucial. Additionally, personalizing disease ...
Seizures Humans Neural Networks, Computer Algorithms Signal Processing, Computer-Assisted Animals Wearable Electronic Devices Deep Learning Rats Electroencephalography
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Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring.

IEEE transactions on biomedical circuits and systems Feb 11, 2025
Deep neural network (DNN) models have shown remarkable success in many real-world scenarios, such as object detection and classification. Unfortunately, these models are not yet widely adopted in health monitoring due to exceptionally high requiremen...
Humans Neural Networks, Computer Electrocardiography Algorithms Monitoring, Physiologic Wearable Electronic Devices Signal Processing, Computer-Assisted
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring.

Sensors (Basel, Switzerland) Feb 10, 2025
Traditional approaches for human monitoring and motion recognition often rely on wearable sensors, which, while effective, are obtrusive and cause significant discomfort to workers. More recent approaches have employed unobtrusive, real-time sensing ...
Wearable Electronic Devices Monitoring, Physiologic Motion Machine Learning Movement Humans Algorithms Deep Learning
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Human sleep position classification using a lightweight model and acceleration data.

Sleep & breathing = Schlaf & Atmung Feb 10, 2025
PURPOSE: This exploratory study introduces a portable, wearable device using a single accelerometer to monitor twelve sleep positions. Targeted for home use, the device aims to assist patients with mild conditions such as gastroesophageal reflux dise...
Adult Male Deep Learning Humans Female Accelerometry Wearable Electronic Devices Posture Sleep
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