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Graphene-based wearable sensors

Nanoscale, 2019
Based on the good characteristics of graphene, many physiological signals can be detected by graphene sensors covering the human body. Graphene wearable sensors have great potential in healthcare and telemedicine.
Yancong Qiao   +13 more
openaire   +2 more sources

Raspberry Pi-Enabled Wearable Sensors for Personal Health Tracking and Analysis

2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), 2023
Proactive healthcare management has made personal health tracking and analysis commonplace. Raspberry Pi-enabled wearable sensors assess health in this study.
K. Karthika   +5 more
semanticscholar   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advances in Materials
Intelligent wearable sensors, empowered by machine learning and innovative smart materials, enable rapid, accurate disease diagnosis, personalized therapy, and continuous health monitoring without disrupting daily life.
Shuwen Chen   +14 more
semanticscholar   +1 more source

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

Expert systems with applications, 2022
Mobile and wearable devices embedded with multiple sensors for health monitoring and disease diagnosis are growing fields with the potential to provide efficient means for remote health management.
Chioma Virginia Anikwe   +6 more
semanticscholar   +1 more source

Disruptive, Soft, Wearable Sensors

Advanced Materials, 2019
AbstractThe wearable industry is on the rise, with a myriad of technical applications ranging from real‐time health monitoring, the Internet of Things, and robotics, to name but a few. However, there is a saying “wearable is not wearable” because the current market‐available wearable sensors are largely bulky and rigid, leading to uncomfortable wearing
Yunzhi Ling   +5 more
openaire   +2 more sources

Advancements in optical fiber-based wearable sensors for smart health monitoring.

Biosensors & bioelectronics
Healthcare system is undergoing a significant transformation from a traditional hospital-centered to an individual-centered one, as a result of escalating chronic diseases, ageing populations, and ever-increasing healthcare costs,.
Rajan Jha, Pratik Mishra, Santosh Kumar
semanticscholar   +1 more source

Recent advances in smart wearable sensors for continuous human health monitoring.

Talanta: The International Journal of Pure and Applied Analytical Chemistry
In recent years, the biochemical and biological research areas have shown great interest in a smart wearable sensor because of its increasing prevalence and high potential to monitor human health in a non-invasive manner by continuous screening of ...
M. Kulkarni   +3 more
semanticscholar   +1 more source

An intelligent healthcare monitoring framework using wearable sensors and social networking data

Future generations computer systems, 2021
Wearable sensors and social networking platforms play a key role in providing a new method to collect patient data for efficient healthcare monitoring. However, continuous patient monitoring using wearable sensors generates a large amount of healthcare ...
Farman Ali   +6 more
semanticscholar   +1 more source

Wearable sensors and telerehabilitation

IEEE Engineering in Medicine and Biology Magazine, 2003
The article summarizes ongoing research on both mobile interfaces and therapies related to rehabilitation with special focus on emerging possibilities for home therapy programs for two areas of special interest to our group: stroke and cardiac. Both are areas where considerable scientific evidence suggesting the need for new therapeutic strategies has ...
Jack M, Winters   +2 more
openaire   +2 more sources

Advances in Machine Learning for Wearable Sensors.

ACS Nano
Recent years have witnessed tremendous advances in machine learning techniques for wearable sensors and bioelectronics, which play an essential role in real-time sensing data analysis to provide clinical-grade information for personalized healthcare.
Xiao Xiao   +4 more
semanticscholar   +1 more source

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