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 …
Wearable sensing, big data technology for cardiovascular healthcare: current status and future prospective
Wearable technology, which can continuously and remotely monitor physiological and
behavioral parameters by incorporated into clothing or worn as an accessory, introduces a …
behavioral parameters by incorporated into clothing or worn as an accessory, introduces a …
Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables
Objective. To develop a sleep staging method from wrist-worn accelerometry and the
photoplethysmogram (PPG) by leveraging transfer learning from a large electrocardiogram …
photoplethysmogram (PPG) by leveraging transfer learning from a large electrocardiogram …
Measuring pedestrian level of stress in urban environments: Naturalistic walking pilot study
S LaJeunesse, P Ryus, W Kumfer… - Transportation …, 2021 - journals.sagepub.com
Walking is the most basic and sustainable mode of transportation, and many jurisdictions
would like to see increased walking rates as a way of reducing congestion and emission …
would like to see increased walking rates as a way of reducing congestion and emission …
Classification and prediction of post-trauma outcomes related to PTSD using circadian rhythm changes measured via wrist-worn research watch in a large longitudinal …
Post-Traumatic Stress Disorder (PTSD) is a psychiatric condition resulting from threatening
or horrifying events. We hypothesized that circadian rhythm changes, measured by a wrist …
or horrifying events. We hypothesized that circadian rhythm changes, measured by a wrist …
Sleep classification with artificial synthetic imaging data using convolutional neural networks
Objective: We propose a new analytic framework,“Artificial Synthetic Imaging Data (ASID)
Workflow,” for sleep classification from a wearable device comprising: 1) the creation of …
Workflow,” for sleep classification from a wearable device comprising: 1) the creation of …
BiHeartS: Bilateral Heart Rate from multiple devices and body positions for Sleep measurement Dataset
Sleep is the primary mean of recovery from accumulated fatigue and thus plays a crucial role
in fostering people's mental and physical well-being. Sleep quality monitoring systems are …
in fostering people's mental and physical well-being. Sleep quality monitoring systems are …
Validating CircaCP: a generic sleep–wake cycle detection algorithm for unlabelled actigraphy data
Sleep–wake (SW) cycle detection is a key step for extracting temporal sleep metrics from
actigraphy. Various supervised learning algorithms have been developed, yet their …
actigraphy. Various supervised learning algorithms have been developed, yet their …
Advising AI assistant: ethical risks of Oura smart ring
M Gladiš, M Mesarčík, N Slosiarová - AI and Ethics, 2024 - Springer
Wearable devices with monitoring and recommendation functions are designed to provide
personalised feedback and support to help individuals manage their health and well-being …
personalised feedback and support to help individuals manage their health and well-being …
A Personalized and Adaptive Distribution Classification of Actigraphy Segments into Sleep-Wake States
A Vandegriffe, VA Samaranayake, M Thimgan - BioRxiv, 2023 - biorxiv.org
Wearable actimeters have the potential to greatly improve our understanding sleep in
natural environments and in long-term experiments. Current technologies have served the …
natural environments and in long-term experiments. Current technologies have served the …