AIMC Topic: Wearable Electronic Devices
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HGCTNet: Handcrafted Feature-Guided CNN and Transformer Network for Wearable Cuffless Blood Pressure Measurement.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Biosignals collected by wearable devices, such as electrocardiogram and photoplethysmogram, exhibit redundancy and global temporal dependencies, posing a challenge in extracting discriminative features for blood pressure (BP) estimation. To address t...
A Deep Learning Approach for Fear Recognition on the Edge Based on Two-Dimensional Feature Maps.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Applying affective computing techniques to recognize fear and combining them with portable signal monitors makes it possible to create real-time detection systems that could act as bodyguards when users are in danger. With this aim, this paper presen...
Deep Learning-Enhanced Internet of Things for Activity Recognition in Post-Stroke Rehabilitation.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Wearable sensors provide a more effective means of activity monitoring and management by recording patients' daily activity data for assessing their daily function and rehabilitation progress, as well as providing a convenient and practical solution ...
Overground Gait Training With a Wearable Robot in Children With Cerebral Palsy: A Randomized Clinical Trial.
JAMA network open
Jul 1, 2024
IMPORTANCE: Cerebral palsy (CP) is the most common developmental motor disorder in children. Robot-assisted gait training (RAGT) using a wearable robot can provide intensive overground walking experience.
Knee Angle Estimation from Surface EMG during Walking Using Attention-Based Deep Recurrent Neural Networks: Feasibility and Initial Demonstration in Cerebral Palsy.
Sensors (Basel, Switzerland)
Jun 28, 2024
Accurately estimating knee joint angle during walking from surface electromyography (sEMG) signals can enable more natural control of wearable robotics like exoskeletons. However, challenges exist due to variability across individuals and sessions. T...
Multilayer Perceptron-Based Wearable Exercise-Related Heart Rate Variability Predicts Anxiety and Depression in College Students.
Sensors (Basel, Switzerland)
Jun 28, 2024
(1) Background: This study aims to investigate the correlation between heart rate variability (HRV) during exercise and recovery periods and the levels of anxiety and depression among college students. Additionally, the study assesses the accuracy of...
Elbow Gesture Recognition with an Array of Inductive Sensors and Machine Learning.
Sensors (Basel, Switzerland)
Jun 28, 2024
This work presents a novel approach for elbow gesture recognition using an array of inductive sensors and a machine learning algorithm (MLA). This paper describes the design of the inductive sensor array integrated into a flexible and wearable sleeve...
Wearable ECG Device and Machine Learning for Heart Monitoring.
Sensors (Basel, Switzerland)
Jun 28, 2024
With cardiovascular diseases (CVD) remaining a leading cause of mortality, wearable devices for monitoring cardiac activity have gained significant, renewed interest among the medical community. This paper introduces an innovative ECG monitoring syst...
Integration of wearable devices and deep learning: New possibilities for health management and disease prevention.
Bioscience trends
Jun 27, 2024
In recent years, the market for wearable devices has been rapidly growing, with much of the demand for health management. These devices are equipped with numerous sensors that detect inertial measurements, electrocardiograms, photoplethysmography sig...
A Novel AI Approach for Assessing Stress Levels in Patients with Type 2 Diabetes Mellitus Based on the Acquisition of Physiological Parameters Acquired during Daily Life.
Sensors (Basel, Switzerland)
Jun 27, 2024
Stress is the inherent sensation of being unable to handle demands and occurrences. If not properly managed, stress can develop into a chronic condition, leading to the onset of additional chronic health issues, such as cardiovascular illnesses and d...
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