State of the science and recommendations for using wearable technology in sleep and circadian research
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields,
including for applications across other disciplines, inclusive of a variety of disease states …
including for applications across other disciplines, inclusive of a variety of disease states …
A method for characterizing daily physiology from widely used wearables
Millions of wearable-device users record their heart rate (HR) and activity. We introduce a
statistical method to extract and track six key physiological parameters from these data …
statistical method to extract and track six key physiological parameters from these data …
[HTML][HTML] Sleep classification using Consumer Sleep Technologies and AI: A review of the current landscape
Classifying sleep stages in real-time represents considerable potential, for instance in
enabling interactive noise masking in noisy environments when persons are in a state of …
enabling interactive noise masking in noisy environments when persons are in a state of …
Evaluating consumer and clinical sleep technologies: an American Academy of Sleep Medicine update
S Schutte-Rodin, MC Deak, S Khosla… - Journal of Clinical …, 2021 - jcsm.aasm.org
The previous American Academy of Sleep Medicine (AASM) Consumer and Clinical
Technology Committee and the subsequent Technology Innovation Committee have …
Technology Committee and the subsequent Technology Innovation Committee have …
Transferable self-supervised instance learning for sleep recognition
Although the importance of sleep is increasingly recognized, the lack of general and
transferable algorithms hinders scalable sleep assessment in healthy persons and those …
transferable algorithms hinders scalable sleep assessment in healthy persons and those …
Learning dynamics from large biological data sets: machine learning meets systems biology
In the past few decades, mathematical models based on dynamical systems theory have
provided new insight into diverse biological systems. In this review, we ask whether the …
provided new insight into diverse biological systems. In this review, we ask whether the …
Accuracy and acceptability of wearable motion tracking for inpatient monitoring using smartwatches
C Auepanwiriyakul, S Waibel, J Songa, P Bentley… - Sensors, 2020 - mdpi.com
Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a
convenient and low-cost method to monitor the natural behaviour of hospital patients …
convenient and low-cost method to monitor the natural behaviour of hospital patients …
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 …
Detecting sleep outside the clinic using wearable heart rate devices
I Perez-Pozuelo, M Posa, D Spathis, K Westgate… - Scientific Reports, 2022 - nature.com
The adoption of multisensor wearables presents the opportunity of longitudinal monitoring of
sleep in large populations. Personalized yet device-agnostic algorithms can sidestep …
sleep in large populations. Personalized yet device-agnostic algorithms can sidestep …
Quantification analysis of sleep based on smartwatch sensors for Parkinson's disease
YF Ko, PH Kuo, CF Wang, YJ Chen, PC Chuang, SZ Li… - Biosensors, 2022 - mdpi.com
Rapid eye movement (REM) sleep behavior disorder (RBD) is associated with Parkinson's
disease (PD). In this study, a smartwatch-based sensor is utilized as a convenient tool to …
disease (PD). In this study, a smartwatch-based sensor is utilized as a convenient tool to …