AIMC Topic: Wearable Electronic Devices
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Electrocardiogram and respiration recordings show a reduction in the physical burden on professional caregivers when performing care tasks with a transfer support robot.
Assistive technology : the official journal of RESNA
Oct 21, 2024
In this study, we assessed the physical burden on professional caregivers when using a transfer support robot, "Hug," to transfer and move a care recipient. We compared heart rate (HR), heart rate variability (HRV), and the time-series synchronizatio...
Rhythm-Ready: Harnessing Smart Devices to Detect and Manage Arrhythmias.
Current cardiology reports
Oct 18, 2024
PURPOSE OF REVIEW: To survey recent progress in the application of implantable and wearable sensors to detection and management of cardiac arrhythmias.
Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms.
JACC. Clinical electrophysiology
Oct 9, 2024
BACKGROUND: Hyperkalemia, characterized by elevated serum potassium levels, heightens the risk of sudden cardiac death, particularly increasing risk for individuals with chronic kidney disease and end-stage renal disease (ESRD). Traditional laborator...
Assessment of wearable robotics performance in patients with neurological conditions.
Current opinion in neurology
Oct 4, 2024
PURPOSE OF REVIEW: While wearable robotics is expanding within clinical settings, particularly for neurological rehabilitation, there is still a lack of consensus on how to effectively assess the performance of these devices. This review focuses on t...
Improved Assistive Profile Tracking of Exosuit by Considering Adaptive Stiffness Model and Body Movement.
Soft robotics
Sep 30, 2024
Wearable robots have been developed to assist the physical performance of humans. Specifically, exosuits have attracted attention due to their lightweight and soft nature, which facilitate user movement. Although several types of force controllers ha...
Convolutional neural network based detection of early stage Parkinson's disease using the six minute walk test.
Scientific reports
Sep 30, 2024
The heterogeneity of Parkinson's disease (PD) presents considerable challenges for accurate diagnosis, particularly during early-stage disease, when the symptoms may be extremely subtle. This study aimed to assess the accuracy of a convolutional neur...
Machine Learning Applied to Edge Computing and Wearable Devices for Healthcare: Systematic Mapping of the Literature.
Sensors (Basel, Switzerland)
Sep 29, 2024
The integration of machine learning (ML) with edge computing and wearable devices is rapidly advancing healthcare applications. This study systematically maps the literature in this emerging field, analyzing 171 studies and focusing on 28 key article...
Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables.
Sensors (Basel, Switzerland)
Sep 29, 2024
BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with which to assess pain through the measurement of signals associated with physiologic responses to pain detected by wearables. We conducted a prospectiv...
Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care.
JMIR mHealth and uHealth
Sep 27, 2024
BACKGROUND: Wearable sensors are increasingly being explored in health care, including in cancer care, for their potential in continuously monitoring patients. Despite their growing adoption, significant challenges remain in the quality and consisten...
Multifunctional Human-Computer Interaction System Based on Deep Learning-Assisted Strain Sensing Array.
ACS applied materials & interfaces
Sep 26, 2024
Continuous and reliable monitoring of gait is crucial for health monitoring, such as postoperative recovery of bone joint surgery and early diagnosis of disease. However, existing gait analysis systems often suffer from large volumes and the requirem...
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