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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 …
lives and have been incorporated with commercial wearable gadgets for noninvasive …
Synchronized wearables for the detection of haemodynamic states via electrocardiography and multispectral photoplethysmography
Cardiovascular health is typically monitored by measuring blood pressure. Here we
describe a wireless on-skin system consisting of synchronized sensors for chest …
describe a wireless on-skin system consisting of synchronized sensors for chest …
Wearable smart bandage-based bio-sensors
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 …
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
Realization of remote wearable health monitoring (RWHM) technology for the flexible
photodiodes is highly desirable in remote‐sensing healthcare systems used in space …
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
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 …
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
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 …
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 …
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 …
disorders) are among the leading causes of disease burden globally. The economic burden …
Wearable cardiorespiratory sensor for real-time monitoring with smartphone integration
In this study, we propose a novel portable wearable cardiorespiratory sensor integrated with
a smartphone, fabricated from plastic optical fiber (POF) and polydimethylsiloxane (PDMS) …
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 …
socioeconomic burden. Identification of patients at risk for a prolonged recovery after a …