Results 231 to 240 of about 179,549 (287)

Publisher Correction: Wearable device-based health equivalence of different physical activity intensities against mortality, cardiometabolic disease, and cancer. [PDF]

Nat Commun
Biswas RK, Ahmadi MN, Bauman A, Milton K, Koemel NA, Stamatakis E.   +5 more
europepmc   +1 more source

Use of a wearable device to improve sleep quality. [PDF]

Front Digit Health
Moore SL, Carey EP, Finikiotis K, Ford KL, Zane RD, Green KK.   +5 more
europepmc   +1 more source

Wearable Device Photoplethysmography As a Viable Tool to Longitudinally Monitor Vasoconstriction Biomarkers for Predicting Vaso-Occlusive Crisis in Sickle Cell Disease: Feasibility and Validation Study.

JMIR Hum Factors
Shah P, Sy S, Chen M, Khoo MC, Coates TD, Veluswamy S.   +5 more
europepmc   +1 more source

Tailoring antiseizure treatment with a wearable device: A proof-of-concept study in absence epilepsy. [PDF]

Epilepsia
Macea J, Chatzichristos C, Bhagubai M, De Vos M, Van Paesschen W.   +4 more
europepmc   +1 more source

A non-contact wearable device for monitoring epidermal molecular flux. [PDF]

Nature
Shin J, Song JW, Flavin MT, Cho S, Li S, Tan A, Pyun KR, Huang AG, Wang H, Jeong S, Madsen KE, Trueb J, Kim M, Nguyen K, Yang A, Hsu Y, Sung W, Lee J, Phyo S, Kim JH, Banks A, Chang JK, Paller AS, Huang Y, Ameer GA, Rogers JA.   +25 more
europepmc   +1 more source

Wearable Treatment Device: Wearable Cardioverter Defibrillator (WCD)

Iryou kikigaku (The Japanese journal of medical instrumentation), 2017
openaire   +2 more sources

Effects of Heat Adaptation Behaviors on Resting Heart Rate Response to Summer Temperatures in Older Adults: Wearable Device Panel Study.

JMIR Mhealth Uhealth
Chen CH, Lai F, Chen YL, Guo YL.
europepmc   +1 more source

Wearable Device-Based Respiratory Complexity Analysis for Detecting Pulmonary Congestion in Patients With Heart Failure: Observational Exploratory Study.

J Med Internet Res
Li M, Kang Y, Zhao S, Zhang X, Liu Z, Li L, Zhang Q, Zhang Z.   +7 more
europepmc   +1 more source

Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study.

JMIR Med Inform
Wu CT, Hsieh MH, Chen IM, Jhao LY, Liu DS, Wang SM, Wu CT, Chien YL.   +7 more
europepmc   +1 more source

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Wearable devices

2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology (ICAECCT), 2016
Today, innovation in and with Information and Communication Technology (ICT) is accelerating as consumers, companies and governments become users and designers of myriad ICT solutions whose ethical implications are not yet well understood. This chapter contributes to the growing body of research on ethical implications of one popular emerging ICT ...
Nisha D. Wanjari, Shailaja. C. Patil
openaire   +2 more sources