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 …
[HTML][HTML] Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology
Abstract Machine learning (ML) refers to computational algorithms that iteratively improve
their ability to recognize patterns in data. The digitization of our healthcare infrastructure is …
their ability to recognize patterns in data. The digitization of our healthcare infrastructure is …
A validation of six wearable devices for estimating sleep, heart rate and heart rate variability in healthy adults
The primary aim of this study was to examine the validity of six commonly used wearable
devices, ie, Apple Watch S6, Garmin Forerunner 245 Music, Polar Vantage V, Oura Ring …
devices, ie, Apple Watch S6, Garmin Forerunner 245 Music, Polar Vantage V, Oura Ring …
Wrist-based photoplethysmography assessment of heart rate and heart rate variability: Validation of WHOOP
Heart rate (HR) and HR variability (HRV) infer readiness to perform exercise in athletic
populations. Technological advancements have facilitated HR and HRV quantification via …
populations. Technological advancements have facilitated HR and HRV quantification via …
A validation study of a commercial wearable device to automatically detect and estimate sleep
The aims of this study were to:(1) compare actigraphy (ACTICAL) and a commercially
available sleep wearable (ie, WHOOP) under two functionalities (ie, sleep auto-detection …
available sleep wearable (ie, WHOOP) under two functionalities (ie, sleep auto-detection …
Pyjamas, polysomnography and professional athletes: The role of sleep tracking Technology in Sport
Technological advances in sleep monitoring have seen an explosion of devices used to
gather important sleep metrics. These devices range from instrumented 'smart pyjamas' …
gather important sleep metrics. These devices range from instrumented 'smart pyjamas' …
Artificial intelligence and sleep: Advancing sleep medicine
NF Watson, CR Fernandez - Sleep medicine reviews, 2021 - Elsevier
Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …
laboratory based objective measures to allow a deeper understanding of sleep and sleep …
[HTML][HTML] Radar-based sleep stage classification in children undergoing polysomnography: a pilot-study
R de Goederen, S Pu, MS Viu, D Doan, S Overeem… - Sleep Medicine, 2021 - Elsevier
Study objectives Unobtrusive monitoring of sleep and sleep disorders in children presents
challenges. We investigated the possibility of using Ultra-Wide band (UWB) radar to …
challenges. We investigated the possibility of using Ultra-Wide band (UWB) radar to …
Evaluating the typical day-to-day variability of WHOOP-derived heart rate variability in Olympic Water Polo Athletes
Heart rate (HR) and HR variability (HRV) can be used to infer readiness to perform exercise
in athletic populations. Advancements in the photoplethysmography technology of wearable …
in athletic populations. Advancements in the photoplethysmography technology of wearable …
Multi-night at-home evaluation of improved sleep detection and classification with a memory-enhanced consumer sleep tracker
S Ghorbani, HA Golkashani, NIYN Chee… - Nature and Science …, 2022 - Taylor & Francis
Purpose To evaluate the benefits of applying an improved sleep detection and staging
algorithm on minimally processed multi-sensor wearable data collected from older …
algorithm on minimally processed multi-sensor wearable data collected from older …