Challenges of emerging wearable sensors for remote monitoring toward telemedicine healthcare

S Kalasin, W Surareungchai - Analytical chemistry, 2023 - ACS Publications
Digitized telemedicine tools with the Internet of Things (IoT) started advancing into our daily
lives and have been incorporated with commercial wearable gadgets for noninvasive …

Synchronized wearables for the detection of haemodynamic states via electrocardiography and multispectral photoplethysmography

D Franklin, A Tzavelis, JY Lee, HU Chung… - Nature biomedical …, 2023 - nature.com
Cardiovascular health is typically monitored by measuring blood pressure. Here we
describe a wireless on-skin system consisting of synchronized sensors for chest …

Wearable smart bandage-based bio-sensors

A Levin, S Gong, W Cheng - Biosensors, 2023 - mdpi.com
Bandage is a well-established industry, whereas wearable electronics is an emerging
industry. This review presents the bandage as the base of wearable bioelectronics. It begins …

Highly Efficient and Stable Self‐Powered Mixed Tin‐Lead Perovskite Photodetector Used in Remote Wearable Health Monitoring Technology

F Liu, K Liu, S Rafique, Z Xu, W Niu, X Li… - Advanced …, 2023 - Wiley Online Library
Realization of remote wearable health monitoring (RWHM) technology for the flexible
photodiodes is highly desirable in remote‐sensing healthcare systems used in space …

Human activity recognition based on embedded sensor data fusion for the internet of healthcare things

ME Issa, AM Helmi, MAA Al-Qaness, A Dahou… - Healthcare, 2022 - mdpi.com
Nowadays, the emerging information technologies in smart handheld devices are motivating
the research community to make use of embedded sensors in such devices for healthcare …

Crossl: Cross-modal self-supervised learning for time-series through latent masking

S Deldari, D Spathis, M Malekzadeh, F Kawsar… - Proceedings of the 17th …, 2024 - dl.acm.org
Limited availability of labeled data for machine learning on multimodal time-series
extensively hampers progress in the field. Self-supervised learning (SSL) is a promising …

An iot-based framework for personalized health assessment and recommendations using machine learning

SK Jagatheesaperumal, S Rajkumar, JV Suresh… - Mathematics, 2023 - mdpi.com
To promote a healthy lifestyle, it is essential for individuals to maintain a well-balanced diet
and engage in customized workouts tailored to their specific body conditions and health …

Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices

T Robinson, J Condell, E Ramsey… - International journal of …, 2023 - mdpi.com
Rationale: Common mental health disorders (CMD)(anxiety, depression, and sleep
disorders) are among the leading causes of disease burden globally. The economic burden …

Wearable cardiorespiratory sensor for real-time monitoring with smartphone integration

H Zhang, Z Wang, C Teng, S Kumar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this study, we propose a novel portable wearable cardiorespiratory sensor integrated with
a smartphone, fabricated from plastic optical fiber (POF) and polydimethylsiloxane (PDMS) …

Wearable activity data can predict functional recovery after musculoskeletal injury: Feasibility of a machine learning approach

BJ Braun, T Histing, MM Menger, SC Herath… - Injury, 2024 - Elsevier
Delayed functional recovery after injury is associated with significant personal and
socioeconomic burden. Identification of patients at risk for a prolonged recovery after a …