Deep learning for health informatics

D Ravì, C Wong, F Deligianni… - IEEE journal of …, 2016 - ieeexplore.ieee.org
With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

R Gravina, P Alinia, H Ghasemzadeh, G Fortino - Information Fusion, 2017 - Elsevier
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

A wireless body area sensor network based on stretchable passive tags

S Niu, N Matsuhisa, L Beker, J Li, S Wang, J Wang… - Nature …, 2019 - nature.com
A body area sensor network (bodyNET) is a collection of networked sensors that can be
used to monitor human physiological signals. For its application in next-generation …

Big data for health

J Andreu-Perez, CCY Poon… - IEEE journal of …, 2015 - ieeexplore.ieee.org
This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Smart wearable systems: Current status and future challenges

M Chan, D Estève, JY Fourniols, C Escriba… - Artificial intelligence in …, 2012 - Elsevier
OBJECTIVE: Extensive efforts have been made in both academia and industry in the
research and development of smart wearable systems (SWS) for health monitoring (HM) …

Transition-aware human activity recognition using smartphones

JL Reyes-Ortiz, L Oneto, A Samà, X Parra, D Anguita - Neurocomputing, 2016 - Elsevier
This work presents the Transition-Aware Human Activity Recognition (TAHAR) system
architecture for the recognition of physical activities using smartphones. It targets real-time …

Unobtrusive sensing and wearable devices for health informatics

YL Zheng, XR Ding, CCY Poon, BPL Lo… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The aging population, prevalence of chronic diseases, and outbreaks of infectious diseases
are some of the major challenges of our present-day society. To address these unmet …

Wireless battery-free body sensor networks using near-field-enabled clothing

R Lin, HJ Kim, S Achavananthadith, SA Kurt… - Nature …, 2020 - nature.com
Networks of sensors placed on the skin can provide continuous measurement of human
physiological signals for applications in clinical diagnostics, athletics and human-machine …

Elderly fall detection systems: A literature survey

X Wang, J Ellul, G Azzopardi - Frontiers in Robotics and AI, 2020 - frontiersin.org
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

Wireless body sensor networks based on metamaterial textiles

X Tian, PM Lee, YJ Tan, TLY Wu, H Yao, M Zhang… - Nature …, 2019 - nature.com
Wireless networks of sensors, displays and smart devices that can be placed on a person's
body could have applications in health monitoring, medical interventions and human …