AIMC Topic: Actigraphy
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Detecting prolonged sitting bouts with the ActiGraph GT3X.
Scandinavian journal of medicine & science in sports
Dec 22, 2019
The ActiGraph has a high ability to measure physical activity; however, it lacks an accurate posture classification to measure sedentary behavior. The aim of the present study was to develop an ActiGraph (waist-worn, 30 Hz) posture classification to ...
Upper limb motor pre-clinical assessment in Parkinson's disease using machine learning.
Parkinsonism & related disorders
Feb 22, 2019
INTRODUCTION: Parkinson's disease (PD) is a common neurodegenerative disorder characterized by disabling motor and non-motor symptoms. For example, idiopathic hyposmia (IH), which is a reduced olfactory sensitivity, is typical in >95% of PD patients ...
Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study.
JMIR mHealth and uHealth
Feb 6, 2019
BACKGROUND: Wearable accelerometers have greatly improved measurement of physical activity, and the increasing popularity of smartwatches with inherent acceleration data collection suggest their potential use in the physical activity research domain;...
Machine-learning-derived sleep-wake staging from around-the-ear electroencephalogram outperforms manual scoring and actigraphy.
Journal of sleep research
Nov 13, 2018
Quantification of sleep is important for the diagnosis of sleep disorders and sleep research. However, the only widely accepted method to obtain sleep staging is by visual analysis of polysomnography (PSG), which is expensive and time consuming. Here...
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.
Computers in biology and medicine
Oct 15, 2018
BACKGROUND: Automatic sleep stage classification is essential for long-term sleep monitoring. Wearable devices show more advantages than polysomnography for home use. In this paper, we propose a novel method for sleep staging using heart rate and wri...
Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks.
IEEE journal of biomedical and health informatics
Aug 29, 2018
Unobtrusive and accurate ambulatory methods are needed to monitor long-term sleep patterns for improving health. Previously developed ambulatory sleep detection methods rely either in whole or in part on self-reported diary data as ground truth, whic...
Phase Relationship between DLMO and Sleep Onset and the Risk of Metabolic Disease among Normal Weight and Overweight/Obese Adults.
Journal of biological rhythms
Dec 20, 2017
Circadian misalignment is hypothesized to contribute to increased diabetes and obesity among shift workers and individuals with late sleep timing. Accordingly, the goal of our study was to identify-among normal and overweight/obese adults-association...
Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification.
Computers in biology and medicine
Aug 8, 2017
The concurrent usage of actigraphy and heart rate variability (HRV) for sleep efficiency quantification is still matter of investigation. This study compared chest (CACT) and wrist (WACT) actigraphy (actigraphs positioned on chest and wrist, respecti...
Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 4, 2017
BACKGROUND AND PURPOSE: Trials of restorative therapies after stroke and clinical rehabilitation require relevant and objective efficacy end points; real-world upper extremity (UE) functional use is an attractive candidate. We present a novel, inexpe...
Female
Reproducibility of Results
Aged
Adult
Middle Aged
Case-Control Studies
Time Factors
Biomechanical Phenomena
Male
Humans
Machine Learning
Video Recording
Stroke
Fitness Trackers
Upper Extremity
Feasibility Studies
Actigraphy
Activities of Daily Living
Movement
Health Status
Acceleration
Predictive Value of Tests
Equipment Design
Signal Processing, Computer-Assisted
Detection of Nocturnal Scratching Movements in Patients with Atopic Dermatitis Using Accelerometers and Recurrent Neural Networks.
IEEE journal of biomedical and health informatics
Jun 8, 2017
Atopic dermatitis is a chronic inflammatory skin condition affecting both children and adults and is associated with pruritus. A method for objectively quantifying nocturnal scratching events could aid in the development of therapies for atopic derma...
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