AIMC Topic: Monitoring, Ambulatory
Clear Filters Showing 41 to 50 of 118 articles
Stress detection in daily life scenarios using smart phones and wearable sensors: A survey.
Journal of biomedical informatics
Feb 27, 2019
Stress has become a significant cause for many diseases in the modern society. Recently, smartphones, smartwatches and smart wrist-bands have become an integral part of our lives and have reached a widespread usage. This raised the question of whethe...
A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease.
IEEE transactions on bio-medical engineering
Feb 18, 2019
The assessment of Parkinson's disease (PD) poses a significant challenge, as it is influenced by various factors that lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti...
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Nature medicine
Jan 7, 2019
Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workflow. Widely available digital ECG data and the algorithmic paradigm of deep learning present an opportunity to substantially improve the accuracy and s...
A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.
Nursing outlook
Nov 23, 2018
OBJECTIVES: To offer practical guidance to nurse investigators interested in multidisciplinary research that includes assisting in the development of artificial intelligence (AI) algorithms for "smart" health management and aging-in-place.
Sleeping posture recognition using fuzzy c-means algorithm.
Biomedical engineering online
Nov 6, 2018
BACKGROUND: Pressure sensors have been used for sleeping posture detection, which meet privacy requirements. Most of the existing techniques for sleeping posture recognition used force-sensitive resistor (FSR) sensors. However, lower limbs cannot be ...
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...
Activity-aware essential tremor evaluation using deep learning method based on acceleration data.
Parkinsonism & related disorders
Aug 8, 2018
BACKGROUND: Essential tremor (ET), one of the most common neurological disorders is typically evaluated with validated rating scales which only provide a subjective assessment during a clinical visit, underestimating the fluctuations tremor during di...
Use of Machine Learning on Contact Lens Sensor-Derived Parameters for the Diagnosis of Primary Open-angle Glaucoma.
American journal of ophthalmology
Jul 25, 2018
PURPOSE: To test the hypothesis that contact lens sensor (CLS)-based 24-hour profiles of ocular volume changes contain information complementary to intraocular pressure (IOP) to discriminate between primary open-angle glaucoma (POAG) and healthy (H) ...
A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care.
Journal of biomedical informatics
Jul 10, 2018
Ensuring the health and safety of independent-living senior citizens is a growing societal concern. Researchers have developed sensor based systems to monitor senior citizens' Activity of Daily Living (ADL), a set of daily activities that can indicat...
Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards.
Artificial intelligence in medicine
Jun 2, 2018
BACKGROUND: Large amounts of patient data are routinely manually collected in hospitals by using standalone medical devices, including vital signs. Such data is sometimes stored in spreadsheets, not forming part of patients' electronic health records...
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