sensors-logo

Journal Browser

Journal Browser

Wearable Biomedical Sensors 2020

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

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 6730

Special Issue Editor


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

Special Issue Information

Dear Colleagues,

I am pleased to invite you to submit a contribution to this Special issue on Wearable Biomedical Sensors. Wearable biomedical sensors hold promise to tackle major challenges in healthcare, such as the diagnosis and management of chronic diseases such as epilepsy and diabetes, or remote monitoring of the elderly. These devices are drawing from recent advances in microsystems, biomedical engineering, and material science to provide real-time biophysical monitoring continuously and non-invasively. In general, the Internet of Medical Things (IoMT) regroups all the wearable monitoring sensing devices used in advances in biomedical and healthcare applications to continuously collect patient data and store them in the cloud. The creation of reliable and inexpensive devices for personalized monitoring of vital signs is of crucial importance, especially in these terrible unprecedented circumstances of the COVID-19 pandemic, which is affecting all countries and all people in the world. The number of people being tested for COVID-19 is increasing daily. If found positive, patients are often asked to self-isolate and monitor their symptoms at home. Since some have severe responses that lead to respiratory distress, organ failure, and potentially death, it is extremely important to monitor the vital signs of these patients remotely and continuously.

This Special Issue of Sensors, entitled “Wearable Biomedical Sensors”, focuses on all aspects of the research and development related to these areas. Original research papers that focus on the design and implementation of new wearable biosensors, as well as papers focusing on their utilization in advanced biomedical and clinical applications, are welcome. Both reviews and original research articles will be considered for publication.

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

Prof. Dr. Benoit Gosselin
Guest Editor

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

  • The Internet of Medical Things
  • Vital sign monitoring
  • Biomedical instrumentation
  • Biophysical
  • Electrochemical
  • Biochemical
  • Optical
  • Multitechnology microsystem (microelectronics, electromechanical, microfluidics, materials)
  • Noninvasive
  • Biomarkers
  • Mobility
  • Electrophysiology
  • Biofluids

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

8 pages, 875 KiB  
Communication
Post-Operative Remote Monitoring for Same-Day Discharge Elective Orthopedic Surgery: A Pilot Study
by Vibav H. Mouli, Christopher X. Carrera, Natalie Schudrowitz, Jean Flanagan Jay, Vivek Shah and Wolfgang Fitz
Sensors 2021, 21(17), 5754; https://doi.org/10.3390/s21175754 - 26 Aug 2021
Cited by 5 | Viewed by 2173
Abstract
The purposes of this pilot study are to utilize digital remote monitoring to (a) evaluate the usability and satisfaction of a wireless blood pressure (BP) and heart rate (HR) monitor and (b) determine whether these data can enable safe mobilization at home after [...] Read more.
The purposes of this pilot study are to utilize digital remote monitoring to (a) evaluate the usability and satisfaction of a wireless blood pressure (BP) and heart rate (HR) monitor and (b) determine whether these data can enable safe mobilization at home after same-day discharge (SDD) joint replacement. A population of 23 SDD patients undergoing unicompartmental knee arthroplasty (UKA), total knee arthroplasty (TKA), or total hip arthroplasty (THA) were given a cellular BP/HR monitor, with real-time data capture. Patients took three readings after surgery, observing for specific blood pressure decreases, HR increases, or hypotensive symptoms. If any criteria applied, patients followed a hydration protocol and delayed ambulation. Home coaching was also provided to each patient. Patient experience was surveyed, and responses were assessed using descriptive statistics. Of 18 patients discharged (78%), 17 returned surveys, of which 100% reported successful device operation. The mean “ease of use” rating was 8.9/10; satisfaction with home coaching was 9.7/10; and belief that the protocol improved patient safety was 8.4/10. A total of 27.8% (n = 5) had hypotensive readings and appropriately delayed ambulation. Our pilot findings support the feasibility of and confirm the satisfaction with remote monitoring after SDD arthroplasty. All patients with symptoms of hypotension were successfully remotely managed using a standardized hydration protocol prior to safe mobilization. Full article
(This article belongs to the Special Issue Wearable Biomedical Sensors 2020)
Show Figures

Figure 1

17 pages, 1380 KiB  
Article
Source–Detector Spectral Pairing-Related Inaccuracies in Pulse Oximetry: Evaluation of the Wavelength Shift
by Olivier Tsiakaka, Benoit Gosselin and Sylvain Feruglio
Sensors 2020, 20(11), 3302; https://doi.org/10.3390/s20113302 - 10 Jun 2020
Cited by 6 | Viewed by 3581
Abstract
Pulse oximetry enables oxygen saturation estimation ( S p O 2) non-invasively in real time with few components and modest processing power. With the advent of affordable development kits dedicated to the monitoring of biosignals, capabilities once reserved to hospitals and high-end [...] Read more.
Pulse oximetry enables oxygen saturation estimation ( S p O 2) non-invasively in real time with few components and modest processing power. With the advent of affordable development kits dedicated to the monitoring of biosignals, capabilities once reserved to hospitals and high-end research laboratories are becoming accessible for rapid prototyping. While one may think that medical-grade equipment differs greatly in quality, surprisingly, we found that the performance requirements are not widely different from available consumer-grade components, especially regarding the photodetection module in pulse oximetry. This study investigates how the use of candidate light sources and photodetectors for the development of a custom S p O 2 monitoring system can lead to inaccuracies when using the standard computational model for oxygen saturation without calibration. Following the optical characterization of selected light sources, we compare the extracted parameters to the key features in their respective datasheet. We then quantify the wavelength shift caused by spectral pairing of light sources in association with photodetectors. Finally, using the widely used approximation, we report the resulting absolute error in S p O 2 estimation and show that it can lead up to 8% of the critical 90–100% saturation window. Full article
(This article belongs to the Special Issue Wearable Biomedical Sensors 2020)
Show Figures

Figure 1

Back to TopTop