Wearable sensing devices for point of care diagnostics
The growth of smart wearable sensing systems has gained immense importance in the
present mode of data acquisition and signaling in pharmaceutical, healthcare, and wellness …
present mode of data acquisition and signaling in pharmaceutical, healthcare, and wellness …
[HTML][HTML] Recent advances in organ specific wireless bioelectronic devices: Perspective on biotelemetry and power transfer using antenna systems
The integration of electronics and biology has spawned bioelectronics and opened exciting
opportunities to fulfill the unmet needs of therapeutic treatments. Recent developments in …
opportunities to fulfill the unmet needs of therapeutic treatments. Recent developments in …
Limiting racial disparities and bias for wearable devices in health science research
PJ Colvonen, PN DeYoung, NOA Bosompra… - Sleep, 2020 - academic.oup.com
Consumer wearables are devices used for tracking activity, sleep, and other health-related
outcomes (eg Apple Watch, Fitbit, Samsung, Basis, Mio, PulseOn, Whoop). Wearables …
outcomes (eg Apple Watch, Fitbit, Samsung, Basis, Mio, PulseOn, Whoop). Wearables …
At-home wireless monitoring of acute hemodynamic disturbances to detect sleep apnea and sleep stages via a soft sternal patch
Obstructive sleep apnea (OSA) affects more than 900 million adults globally and can create
serious health complications when untreated; however, 80% of cases remain undiagnosed …
serious health complications when untreated; however, 80% of cases remain undiagnosed …
[HTML][HTML] Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality
Sleep is essential to life. Accurate measurement and classification of sleep/wake and sleep
stages is important in clinical studies for sleep disorder diagnoses and in the interpretation …
stages is important in clinical studies for sleep disorder diagnoses and in the interpretation …
The future of sleep measurements: a review and perspective
ES Arnardottir, AS Islind… - Sleep medicine clinics, 2021 - sleep.theclinics.com
Sleep assessment depends both on the subjective experience of the individual and
objective measurements, which are traditionally collected through an overnight sleep study …
objective measurements, which are traditionally collected through an overnight sleep study …
Ensemble computational intelligent for insomnia sleep stage detection via the sleep ECG signal
P Tripathi, MA Ansari, TK Gandhi, R Mehrotra… - IEEE …, 2022 - ieeexplore.ieee.org
Insomnia is a common sleep disorder in which patients cannot sleep properly. Accurate
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signals
M Sharma, J Darji, M Thakrar, UR Acharya - Computers in biology and …, 2022 - Elsevier
Sleep is imperative for a healthy life as it rejuvenates memory, cognitive performance, cell
repair and eliminates waste from the muscles. Sleep-related disorders such as insomnia …
repair and eliminates waste from the muscles. Sleep-related disorders such as insomnia …
[HTML][HTML] A novel hybrid machine learning classification for the detection of bruxism patients using physiological signals
Featured Application 1. The hybrid machine learning (HML) classifier can easily classify the
subjects (healthy and bruxism), sleep stages (w and REM), and both with high accuracy. 2 …
subjects (healthy and bruxism), sleep stages (w and REM), and both with high accuracy. 2 …
Recent developments in wearable NEMS/MEMS-based smart infrared sensors for healthcare applications
Incorporating nano-and microelectromechanical systems (NEMS/MEMS)-based sensors in
clothing and developing more compact and flexible devices have gained popularity recently …
clothing and developing more compact and flexible devices have gained popularity recently …