Machine learning for healthcare wearable devices: the big picture
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …
been actively researched over the last few years. It holds promising opportunities as it is …
[HTML][HTML] A systematic review of sensing technologies for wearable sleep staging
SA Imtiaz - Sensors, 2021 - mdpi.com
Designing wearable systems for sleep detection and staging is extremely challenging due to
the numerous constraints associated with sensing, usability, accuracy, and regulatory …
the numerous constraints associated with sensing, usability, accuracy, and regulatory …
Wearable photoplethysmography for cardiovascular monitoring
PH Charlton, PA Kyriacou, J Mant… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Smart wearables provide an opportunity to monitor health in daily life and are emerging as
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands …
[HTML][HTML] A deep transfer learning approach for wearable sleep stage classification with photoplethysmography
Unobtrusive home sleep monitoring using wrist-worn wearable photoplethysmography
(PPG) could open the way for better sleep disorder screening and health monitoring …
(PPG) could open the way for better sleep disorder screening and health monitoring …
Application of photoplethysmography signals for healthcare systems: An in-depth review
Background and objectives Photoplethysmography (PPG) is a device that measures the
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …
[HTML][HTML] The promise of sleep: A multi-sensor approach for accurate sleep stage detection using the oura ring
M Altini, H Kinnunen - Sensors, 2021 - mdpi.com
Sensors | Free Full-Text | The Promise of Sleep: A Multi-Sensor Approach for Accurate Sleep
Stage Detection Using the Oura Ring Next Article in Journal The 2019–2020 Rise in Lake …
Stage Detection Using the Oura Ring Next Article in Journal The 2019–2020 Rise in Lake …
Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography
Abstract Study Objectives Multisensor wearable consumer devices allowing the collection of
multiple data sources, such as heart rate and motion, for the evaluation of sleep in the home …
multiple data sources, such as heart rate and motion, for the evaluation of sleep in the home …
[HTML][HTML] Computational diagnostic techniques for electrocardiogram signal analysis
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
[HTML][HTML] Past, present, and future of multisensory wearable technology to monitor sleep and circadian rhythms
MR Lujan, I Perez-Pozuelo, MA Grandner - Frontiers in digital health, 2021 - frontiersin.org
Movement-based sleep-wake detection devices (ie, actigraphy devices) were first
developed in the early 1970s and have repeatedly been validated against …
developed in the early 1970s and have repeatedly been validated against …
[HTML][HTML] Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank
Background Sleep problems are both symptoms of and modifiable risk factors for many
psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at …
psychiatric disorders. Wrist-worn accelerometers enable objective measurement of sleep at …