Journal of Healthcare Engineering

Smart Wearables in Healthcare: Signal Processing, Device Development, and Clinical Applications


Status
Published

Lead Editor

1Southeast University, Nanjing, China

2University of Queensland, Brisbane, Australia

3University of Northumbria, Newcastle upon Tyne, UK

4Institute of High Performance Computing, A*STAR, Singapore

5Newcastle University, Newcastle upon Tyne, UK


Smart Wearables in Healthcare: Signal Processing, Device Development, and Clinical Applications

Description

Recently, smart wearables, typically as wearable ECG, EEG, blood pressure, pulse, respiration, sleep, and motion monitoring, have been gaining a significant role in the field of healthcare and are looking to be a big and promising market in the technology industry. They are scientifically and clinically useful for better monitoring of real-time, long-term, and dynamic physiological and pathological processes, hence providing opportunities for the development of new diagnostic and therapeutic techniques. These could be expedient for the management of chronic illnesses, such as cardiovascular disease, sleep disorder, emotional problem, cognitive impairment, and functional decline, as well as for the healthcare applications for special populations, like the aged, pregnant women, athletes, astronauts, and so on. The mainstream in smart wearables research is moving towards more sophisticated methodologies based on clinical “big data,” artificial intelligence, advanced signal processing, service robots, and network, as well as more robust signal acquisition approaches.

The purpose of this special issue is to publish high-quality research papers as well as review articles addressing recent technology advances in signal processing and device development for smart wearables, as well as the implementation of these technologies for clinical applications. Original, high quality contributions that are not yet published or that are not currently under review by other journals or peer-reviewed conferences are welcomed.

Potential topics include but are not limited to the following:

  • Clinical wearable database and the corresponding annotations and analysis toolbox
  • Signal quality assessment and control for dynamic wearable data
  • Real-time human vital signs monitoring for the chronic illnesses
  • Telemedicine, mobile health, and human sensor network techniques
  • Flexible electrode, fabric electrode, and dry electrode for wearable devices
  • Sensors for smart wearables: working principle and performance
  • Low power and energy-efficient hardware for wearable devices
  • Compressed sensing, nonlinear analysis, multimodal signal processing, machine learning, and artificial intelligence for wearable ECG, EEG, blood pressure, pulse, respiration, sleep, and motion signals
  • High-performance computing and big data processing
  • Intelligent health monitoring systems (including service robots) combining wearable technologies for health monitoring and disease diagnosis
  • Clinical applications for chronic illnesses detection, including cardiac arrhythmia, hypertension, heart failure, sleep disorder, emotional problem, cognitive impairment, and functional decline

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 1696924
  • - Editorial

Smart Wearables in Healthcare: Signal Processing, Device Development, and Clinical Applications

Chengyu Liu | Feng Liu | ... | Alan Murray
  • Special Issue
  • - Volume 2018
  • - Article ID 2102918
  • - Research Article

Atrial Fibrillation Beat Identification Using the Combination of Modified Frequency Slice Wavelet Transform and Convolutional Neural Networks

Xiaoyan Xu | Shoushui Wei | ... | Chengyu Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 2347589
  • - Research Article

Multichannel Surface EMG Decomposition Based on Measurement Correlation and LMMSE

Yong Ning | Yuming Zhao | ... | Jinbao He
  • Special Issue
  • - Volume 2018
  • - Article ID 9050812
  • - Research Article

Performance Analysis of Ten Common QRS Detectors on Different ECG Application Cases

Feifei Liu | Chengyu Liu | ... | Shoushui Wei
  • Special Issue
  • - Volume 2018
  • - Article ID 2942930
  • - Research Article

A Study of the Effects of Daily Physical Activity on Memory and Attention Capacities in College Students

Dinh-Van Phan | Chien-Lung Chan | ... | K. Robert Lai
  • Special Issue
  • - Volume 2018
  • - Article ID 7804243
  • - Research Article

A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram

Ludi Wang | Wei Zhou | ... | Xiaoguang Zhou
  • Special Issue
  • - Volume 2018
  • - Article ID 6161525
  • - Research Article

Earable RCC: Development of an Earphone-Type Reliable Chewing-Count Measurement Device

Kazuhiro Taniguchi | Hisashi Kondo | ... | Atsushi Nishikawa
  • Special Issue
  • - Volume 2018
  • - Article ID 6570617
  • - Research Article

Noninvasive Estimation of Joint Moments with Inertial Sensor System for Analysis of STS Rehabilitation Training

Kun Liu | Jianchao Yan | ... | Ming Ye
  • Special Issue
  • - Volume 2018
  • - Article ID 2687389
  • - Research Article

A Digital Compressed Sensing-Based Energy-Efficient Single-Spot Bluetooth ECG Node

Kan Luo | Zhipeng Cai | ... | Jianqing Li
  • Special Issue
  • - Volume 2018
  • - Article ID 1902176
  • - Research Article

A Novel Sleep Respiratory Rate Detection Method for Obstructive Sleep Apnea Based on Characteristic Moment Waveform

Yu Fang | Zhongwei Jiang | Haibin Wang
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate28%
Submission to final decision92 days
Acceptance to publication42 days
CiteScore1.610
Impact Factor1.295
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