[HTML][HTML] The emerging clinical role of wearables: factors for successful implementation in healthcare

M Smuck, CA Odonkor, JK Wilt, N Schmidt… - NPJ digital …, 2021 - nature.com
Wearable technologies promise to redefine assessment of health behaviors, yet their clinical
implementation remains a challenge. To address this gap, two of the NIH's Big Data to …

Recent Advances in Skin-Interfaced Wearable Sweat Sensors: Opportunities for Equitable Personalized Medicine and Global Health Diagnostics

KM Clark, TR Ray - ACS sensors, 2023 - ACS Publications
Recent advances in skin-interfaced wearable sweat sensors enable the noninvasive, real-
time monitoring of biochemical signals associated with health and wellness. These …

Continuous health monitoring of sportsperson using IoT devices based wearable technology

W Huifeng, SN Kadry, ED Raj - Computer Communications, 2020 - Elsevier
Nowadays, wearable techniques are widely used in the Internet of Things (IoT). The
discussed IoT devices are used in various applications such as smart home, security …

Advancing modern healthcare with nanotechnology, nanobiosensors, and internet of nano things: Taxonomies, applications, architecture, and challenges

PKD Pramanik, A Solanki, A Debnath, A Nayyar… - IEEE …, 2020 - ieeexplore.ieee.org
Healthcare sector is probably the most benefited from the applications of nanotechnology.
The nanotechnology, in the forms of nanomedicine, nanoimplants, nanobiosensors along …

[HTML][HTML] Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: a systematic review

A Chan, D Chan, H Lee, CC Ng, AHL Yeo - International Journal of Medical …, 2022 - Elsevier
Background Wearable activity trackers are gaining traction in medical research, providing
both real-time and remote monitoring of physical fitness. Activity trackers offer an excellent …

Feasibility of reidentifying individuals in large national physical activity data sets from which protected health information has been removed with use of machine …

L Na, C Yang, CC Lo, F Zhao, Y Fukuoka… - JAMA network …, 2018 - jamanetwork.com
Importance Despite data aggregation and removal of protected health information, there is
concern that deidentified physical activity (PA) data collected from wearable devices can be …

ESC working group on e-cardiology position paper: use of commercially available wearable technology for heart rate and activity tracking in primary and secondary …

MT Jensen, RW Treskes, EG Caiani… - … Heart Journal-Digital …, 2021 - academic.oup.com
Commercially available health technologies such as smartphones and smartwatches,
activity trackers and eHealth applications, commonly referred to as wearables, are …

Utility of big data in predicting short-term blood glucose levels in type 1 diabetes mellitus through machine learning techniques

I Rodríguez-Rodríguez, I Chatzigiannakis… - Sensors, 2019 - mdpi.com
Machine learning techniques combined with wearable electronics can deliver accurate short-
term blood glucose level prediction models. These models can learn personalized glucose …

[HTML][HTML] Opportunities and challenges surrounding the use of data from wearable sensor devices in health care: qualitative interview study

I Azodo, R Williams, A Sheikh, K Cresswell - Journal of Medical Internet …, 2020 - jmir.org
Background Wearable sensors connected via networked devices have the potential to
generate data that may help to automate processes of care, engage patients, and increase …

Iot healthcare: Benefits, issues and challenges

R De Michele, M Furini - Proceedings of the 5th EAI international …, 2019 - dl.acm.org
A sportsman's watch no longer marks the time, but it also provides information on the
geographical location, on the number of steps, on the heart rate, on the blood oxygenation …