AIMC Topic: Wrist
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Estimating motor symptom presence and severity in Parkinson's disease from wrist accelerometer time series using ROCKET and InceptionTime.
Scientific reports
May 31, 2025
Parkinson's disease (PD) is a neurodegenerative condition characterized by frequently changing motor symptoms, necessitating continuous symptom monitoring for more targeted treatment. Classical time series classification and deep learning techniques ...
Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders.
Scientific reports
May 22, 2025
Obstructive sleep apnea (OSA) and related hypoxia are well-established cardiovascular and neurocognitive risk factors. Current multi-sensor diagnostic approaches are intrusive and prone to misdiagnosis when simplified. This study introduces an enhanc...
Novel Robotic Balloon-Based Device for Wrist-Extension Therapy of Hemiparesis Stroke Patients.
Sensors (Basel, Switzerland)
Feb 23, 2025
Upper-limb paresis is one of the main complications after stroke. It is commonly associated with impaired wrist-extension function. Upper-limb paresis can place a tremendous burden on stroke survivors and their families. A novel soft-actuator device,...
Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed.
Sensors (Basel, Switzerland)
Jan 16, 2025
In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition of deterioration is vital to stopping further decline. Measuring the way patients position themselves in bed and change their positions may signal when...
Generative Artificial Intelligence Responses to Common Patient-Centric Hand and Wrist Surgery Questions: A Quality and Usability Analysis.
The journal of hand surgery Asian-Pacific volume
Jan 5, 2025
Due to the rapid evolution of generative artificial intelligence (AI) and its implications on patient education, there is a pressing need to evaluate AI responses to patients' medical questions. This study assessed the quality and usability of respo...
Improved Surface Electromyogram-Based Hand-Wrist Force Estimation Using Deep Neural Networks and Cross-Joint Transfer Learning.
Sensors (Basel, Switzerland)
Nov 15, 2024
Deep neural networks (DNNs) and transfer learning (TL) have been used to improve surface electromyogram (sEMG)-based force estimation. However, prior studies focused mostly on applying TL within one joint, which limits dataset size and diversity. Her...
Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults.
Scientific reports
Sep 6, 2024
Progressive gait impairment is common among aging adults. Remote phenotyping of gait during daily living has the potential to quantify gait alterations and evaluate the effects of interventions that may prevent disability in the aging population. Her...
A Novel TCN-LSTM Hybrid Model for sEMG-Based Continuous Estimation of Wrist Joint Angles.
Sensors (Basel, Switzerland)
Aug 30, 2024
Surface electromyography (sEMG) offers a novel method in human-machine interactions (HMIs) since it is a distinct physiological electrical signal that conceals human movement intention and muscle information. Unfortunately, the nonlinear and non-smoo...
Improved Automated Quality Control of Skeletal Wrist Radiographs Using Deep Multitask Learning.
Journal of imaging informatics in medicine
Aug 26, 2024
Radiographic quality control is an integral component of the radiology workflow. In this study, we developed a convolutional neural network model tailored for automated quality control, specifically designed to detect and classify key attributes of w...
Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning.
Sensors (Basel, Switzerland)
Jul 31, 2024
Tai Chi is a Chinese martial art that provides an adaptive and accessible exercise for older adults with varying functional capacity. While Tai Chi is widely recommended for its physical benefits, wider adoption in at-home practice presents challenge...
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