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Wearable Wireless Sensors
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Wearable Wireless Sensors

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (15 September 2019) | Viewed by 47127

Special Issue Editors

Prof. Dr. Benoit Gosselin

E-Mail Website
Guest Editor
Department of Computer and Electrical Engineering, Université Laval, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada
Interests: VLSI circuits for bioinstrumentation; wireless biosensors; implantable electronics; brain computer interfaces; and low-power analog/mixed-mode integrated circuits
Special Issues, Collections and Topics in MDPI journals
Dr. S. Abdollah Mirbozorgi

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Alabama at Birmingham (UAB), BEC 259D, 1150 10th Ave South, Birmingham, AL 35294, USA
Interests: wearable devices for medical applications; wireless power/data transmission, energy harvesting; neural and bionic implantable microelectronic systems; integrated analog/mixed signal circuit and micro systems; ultrasound imaging circuits and systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wireless health monitoring, based on non-invasive and wearable sensors, actuators, and modern communication and information technologies offers an efficient and cost-effective solution that allows users to continue to live in their comfortable home environment instead of requiring expensive healthcare facilities. Such systems will allow healthcare personnel to monitor important physiological signs of their patients in real time, assess health conditions, and provide feedback from distant facilities. Research on robust wearable wireless sensors for healthcare applications drawing from recent advanced wireless, integrated circuits and systems, and new biomaterial technologies is getting increasingly important. The recent advances in wearable wireless sensors have opened opportunities for developing new sensing techniques and disruptive biomedical and healthcare applications. A network of wearable and implantable devices forms an Internet of Thing (IoT) system in healthcare, called the “Internet of Healthcare Things”. The IoT of healthcare is a technology that extends care beyond the clinic or hospital to modernize our health systems. For instance, the Internet of Things is currently enabling the utilization of several new connected devices in unattended patients in their home to extend health care beyond the clinic or the hospital. This Special Issue of Sensors, entitled "Wearable Wireless Sensors", will focus on all aspects of the research and development related to these areas. Original research papers that focus on the design and experimental implementation of new wearable sensors, as well as papers that focus on their testing for biomedical and clinical applications, are welcome. Both reviews and original research articles will be published.

We look forward to, and welcome, your participation in this Special Issue.

Dr. Benoit Gosselin
Dr. S. Abdollah Mirbozorgi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Wearable biomedical devices
  • Wireless biosensors
  • Bio-implants
  • Bio signal recording
  • Vital sign monitoring
  • Wireless body sensor network
  • IoT and personalized health care
  • Point-of-care and diagnostic systems

Published Papers (3 papers)

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Research

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15 pages, 5166 KiB  
Article
An EMG Patch for the Real-Time Monitoring of Muscle-Fatigue Conditions During Exercise
by Shing-Hong Liu, Chuan-Bi Lin, Ying Chen, Wenxi Chen, Tai-Shen Huang and Chi-Yueh Hsu
Sensors 2019, 19(14), 3108; https://doi.org/10.3390/s19143108 - 14 Jul 2019
Cited by 55 | Viewed by 9957
Abstract
In recent years, wearable monitoring devices have been very popular in the health care field and are being used to avoid sport injuries during exercise. They are usually worn on the wrist, the same as sport watches, or on the chest, like an [...] Read more.
In recent years, wearable monitoring devices have been very popular in the health care field and are being used to avoid sport injuries during exercise. They are usually worn on the wrist, the same as sport watches, or on the chest, like an electrocardiogram patch. Common functions of these wearable devices are that they use real time to display the state of health of the body, and they are all small sized. The electromyogram (EMG) signal is usually used to show muscle activity. Thus, the EMG signal could be used to determine the muscle-fatigue conditions. In this study, the goal is to develop an EMG patch which could be worn on the lower leg, the gastrocnemius muscle, to detect real-time muscle fatigue while exercising. A micro controller unit (MCU) in the EMG patch is part of an ARM Cortex-M4 processor, which is used to measure the median frequency (MF) of an EMG signal in real time. When the muscle starts showing tiredness, the median frequency will shift to a low frequency. In order to delete the noise of the isotonic EMG signal, the EMG patch has to run the empirical mode decomposition algorithm. A two-electrode circuit was designed to measure the EMG signal. The maximum power consumption of the EMG patch was about 39.5 mAh. In order to verify that the real-time MF values measured by the EMG patch were close to the off-line MF values measured by the computer system, we used the root-mean-square value to estimate the difference in the real-time MF values and the off-line MF values. There were 20 participants that rode an exercise bicycle at different speeds. Their EMG signals were recorded with an EMG patch and a physiological measurement system at the same time. Every participant rode the exercise bicycle twice. The averaged root-mean-square values were 2.86 ± 0.86 Hz and 2.56 ± 0.47 Hz for the first and second time, respectively. Moreover, we also developed an application program implemented on a smart phone to display the participants’ muscle-fatigue conditions and information while exercising. Therefore, the EMG patch designed in this study could monitor the muscle-fatigue conditions to avoid sport injuries while exercising. Full article
(This article belongs to the Special Issue Wearable Wireless Sensors)
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Review

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26 pages, 2330 KiB  
Review
Review on Wearable Technology Sensors Used in Consumer Sport Applications
by Gobinath Aroganam, Nadarajah Manivannan and David Harrison
Sensors 2019, 19(9), 1983; https://doi.org/10.3390/s19091983 - 28 Apr 2019
Cited by 219 | Viewed by 34035
Abstract
This review paper discusses the trends and projections for wearable technology in the consumer sports sector (excluding professional sport). Analyzing the role of wearable technology for different users and why there is such a need for these devices in everyday lives. It shows [...] Read more.
This review paper discusses the trends and projections for wearable technology in the consumer sports sector (excluding professional sport). Analyzing the role of wearable technology for different users and why there is such a need for these devices in everyday lives. It shows how different sensors are influential in delivering a variety of readings that are useful in many ways regarding sport attributes. Wearables are increasing in function, and through integrating technology, users are gathering more data about themselves. The amount of wearable technology available is broad, each having its own role to play in different industries. Inertial measuring unit (IMU) and Global Positioning System (GPS) sensors are predominantly present in sport wearables but can be programmed for different needs. In this review, the differences are displayed to show which sensors are compatible and which ones can evolve sensor technology for sport applications. Full article
(This article belongs to the Special Issue Wearable Wireless Sensors)
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Other

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9 pages, 710 KiB  
Case Report
Quantifying Caregiver Movement when Measuring Infant Movement across a Full Day: A Case Report
by Judy Zhou, Sydney Y. Schaefer and Beth A. Smith
Sensors 2019, 19(13), 2886; https://doi.org/10.3390/s19132886 - 29 Jun 2019
Cited by 10 | Viewed by 2589
Abstract
There is interest in using wearable sensors to measure infant movement patterns and physical activity, however, this approach is confounded by caregiver motion. The purpose of this study is to estimate the extent that caregiver motion confounds wearable sensor data in full-day studies [...] Read more.
There is interest in using wearable sensors to measure infant movement patterns and physical activity, however, this approach is confounded by caregiver motion. The purpose of this study is to estimate the extent that caregiver motion confounds wearable sensor data in full-day studies of infant leg movements. We used wearable sensors to measure leg movements of a four-month-old infant across 8.5 hours, during which the infant was handled by the caregiver in a typical manner. A researcher mimicked the actions of the caregiver with a doll. We calculated 7744 left and 7107 right leg movements for the infant and 1013 left and 1115 right “leg movements” for the doll. In this case, approximately 15% of infant leg movements can be attributed to background motion of the caregiver. This case report is the first step toward removing caregiver-produced background motion from the infant wearable sensor signal. We have estimated the size of the effect and described the activities that were related to noise in the signal. Future research can characterize the noise in detail and systematically explore different methods to remove it. Full article
(This article belongs to the Special Issue Wearable Wireless Sensors)
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