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Biomedical Sensors for Diagnosis and Rehabilitation-2nd Edition

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

Deadline for manuscript submissions: 20 October 2024 | Viewed by 543

Special Issue Editor


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Guest Editor
Department of Electronics, Automation and Computer Science, Universidad Politécnica de Madrid, Madrid, Spain
Interests: bioinspired robotics; rehabilitation robots; dynamical control of robots; underwater robots
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

According to the data provided by the World Health Organization, by 2030, one in six people in world will be aged 60 years or over. From a biological point of view, aging is a natural process where the cellules become damaged over time, increasing the risk of suffering several diseases. After acute trauma, rehabilitation therapy aims to recover these lost capabilities and restore the autonomy of the patients.

Cost-effective technologies that assist researchers and medical practitioners are needed. Biosensors are key elements in diagnosis and prognosis, and eventually, rehabilitation therapies. The medical society demands safe and cheaper means of performing their work in order to guarantee the sustainability of the entire healthcare system.

In general, biosensors can be applied to infection screening, early detection, chronic disease treatment, health management, and well-being surveillance. Moreover, some of them play an important role in rehabilitation. Physiological monitoring via biosensors could help in both the diagnosis and ongoing treatment of a huge number of individuals with neurological, cardiovascular, and pulmonary diseases, among others.

Prof. Dr. Cecilia Garcia
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.

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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

  • physiological monitoring
  • biosensors
  • rehabilitation
  • electronics development
  • software development
  • communication
  • human–machine interaction

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Published Papers (1 paper)

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Research

10 pages, 948 KiB  
Article
Assessment of Temporal Somatosensory Discrimination in Females with Fibromyalgia: Reliability and Discriminative Ability of a New Assessment Tool
by Christophe Demoulin, Léonore Jodogne, Charline David, Jean-François Kaux and Marc Vanderthommen
Sensors 2024, 24(11), 3300; https://doi.org/10.3390/s24113300 - 22 May 2024
Viewed by 368
Abstract
We assessed the test–retest reliability and discriminative ability of a somatosensory temporal discrimination (SSTD) assessment tool for fibromyalgia syndrome (FMS) and determined if pain-related variables were associated with SSTD performance. Twenty-five women with FMS and twenty-five asymptomatic women were assessed during two sessions [...] Read more.
We assessed the test–retest reliability and discriminative ability of a somatosensory temporal discrimination (SSTD) assessment tool for fibromyalgia syndrome (FMS) and determined if pain-related variables were associated with SSTD performance. Twenty-five women with FMS and twenty-five asymptomatic women were assessed during two sessions 7 to 10 days apart. The proportion of correct responses (range 0–100) was calculated. Sociodemographic information was collected for both groups. The participants with FMS also completed the widespread pain index and the Brief Pain Inventory. Test–retest reliability was verified by calculating intraclass correlation coefficients. Discriminative ability was verified by a between-group comparison of scores using a t-test. Associations between SSTD score and pain variables were tested using Pearson or Spearman correlation coefficients. The test–retest reliability of the SSTD score was excellent (ICC > 0.9, CI: 0.79–0.96) for the asymptomatic group and good for the FMS group (ICC: 0.81, 95% CI: 0.62–0.91). The median (Q1–Q3) test session SSTD score differed significantly between the FMS 84.1 (71–88) and the asymptomatic 91.6 (83.4–96.1) groups (p < 0.001). Only pain duration was associated with the SSTD score. In conclusion, the new SSTD test seems reliable for people with FMS and is discriminative. Further studies should examine its sensitivity to change and correlations with other SSTD tests. Full article
(This article belongs to the Special Issue Biomedical Sensors for Diagnosis and Rehabilitation-2nd Edition)
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