Special Issue "Wearable Biomedical Sensors"
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: closed (31 October 2016)
Prof. Dr. Steffen Leonhardt
Philips Chair for Medical Information Technology, Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstr. 20, D-52074 Aachen, Germany
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Interests: physiological measurement techniques; personal health care systems and feedback control systems in medicine
Dr. Daniel Teichmann
We would like to cordially invite you to participate in a Special Issue on “Wearable Biomedical Sensors”. This Special Issue shall concentrate on wearable sensors for the monitoring of vital signs, motion, and other body-related information. Wearable biomedical sensor devices offer a variety of benefits. They do not restrict motion, offer flexibility, and may provide new degrees of freedom and information in completely new clinical but especially out-of-hospital settings. While application areas may be sports, domestic environments, and care facilities, wearable sensors can be of special benefit for the elderly and people suffering from disease.
Contributions to this Special Issue may include, but are not limited to: New wearable sensor devices, novel sensor principles particular suitable for wearable monitoring, low-power designs of already known sensor techniques, textile sensors; and the evaluation of wearable sensors during operation under realistic conditions.
Prof. Dr. Steffen Leonhardt
Dr. Daniel Teichmann
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 papers will be 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 monthly 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 1800 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.
- Body sensor network
- Vital signs
- Low power
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Portable Real-Time Remote Multiple ECG Signals Monitoring System for Various Arrhythmias Detection and Warning
Author: Shing-Tai Pan
Abstract: In this paper, a portable system for arrhythmia monitoring with mutiple users is implemented. A wearable ECG sensor is used to record ECG signals. Based on these ECG signals, this system can automatically recognize various arrhythmias and alarms if necessary. To precisely estimate the arrhythmias, the key point is to find better features of ECG for each arrhythmia and to find the most efficient classifier. This paper will use adaptive features of ECG and apply Hidden Markov Model (HMM) to arrhythmia classification for getting a precise recognition result. The implemented system can simultaneously recognize various patients’ heartbeats timely at sleep or at daylight both indoor and outdoor. This system can also alarm the patients themselves, their families and some medical personnel when the emergent case occurs.
Title: An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education.
Author: Juan Lemos
Abstract: The introduction of surgical simulation technology presents a new paradigm where residents can refine surgical techniques on a simulator before putting them into practice in real patients. Unfortunately, in this new scheme, an experienced surgeon will not always be available to evaluate trainee's performance. For this reason, it is necessary to develop automatic mechanisms to assess manual dexterity in a quantitative way. This paper presents IGlove, a wearable device that uses inertial sensors embedded on an elastic glove to capture hand movements. It has been designed to be used with a neurosurgical simulator, but can be adapted to benchtop- and manikin-based simulators. Metrics to assess manual dexterity are estimated from sensors signals using data processing and information analysis algorithms. The system was validated with a sample of 14 volunteers who performed a test that was designed to evaluate their manual dexterity and the IGlove’s functionalities.
Title: A Novel Earphone Type Sensor for Measuring Mealtime-Consideration of the Method to Distinguish Between Running and Meal
Authors: Kazuhiro Taniguchi, Hikaru Chiaki, Mami Kurosawa and Atsushi Nishikawa
Abstract: In this study, we described a technique for estimating mealtimes using an earphone-type wearable sensor. A small optical sensor composed of a light-emitting diode and phototransistor is inserted into the ear hole of a user and estimates the mealtimes of the user from the time variations in the amount flight received. This is achieved by emitting light toward the inside of the ear canal and receiving light reflected back from the ear canal. Conventional devices worn on the head of users and that measure food intake can vibrate during running as the body is jolted more violently than during walking; this can result in the misidentification of running as eating by these devices. However, using our proposed method allows for the differentiation between running and eating, which can reduce misidentification. Moreover, using an optical sensor composed of a semiconductor, a small and lightweight device can be created. This measurement technique can also measure body motion associated with running, and the data obtained from the optical sensor inserted into the ear can be used to support a healthy lifestyle regarding both eating and exercise.