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Sensor in Neurophysiology and Neurorehabilitation

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

Deadline for manuscript submissions: 20 January 2027 | Viewed by 3184

Special Issue Editor


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Guest Editor
1. Department of Allied Health, School of Health Sciences, Swinburne University of Technology, Hawthorn, Melbourne, VIC 3122, Australia
2. Department of Medicine (Royal Melbourne Hospital), University of Melbourne, Melbourne, VIC 3010, Australia
Interests: physiotherapy; rehabilitation; biomechanics; motor control; sensory systems; neurology and neuromuscular diseases; virtual and mixed reality; digital health

Special Issue Information

Dear Colleagues,

It is my pleasure to invite you to contribute to a Special Issue entitled “Sensor in Neurophysiology and Neurorehabilitation”. Reliable, accessible, and increasingly sophisticated sensing technologies are transforming the way we study, monitor, and support the nervous system in health and disease.

From wearable devices to mobile phone-embedded sensors, technology is becoming widely available and cost-effective, creating new opportunities for clinical application and large-scale research. Beyond availability, novel approaches are enabling more sensitive and ecologically valid metrics, capable of capturing subtle changes in motor control, functional capacity, and recovery. These developments hold great promise for advancing personalized rehabilitation and improving patient outcomes.

We welcome submissions that showcase innovative methods, validate emerging metrics, or demonstrate real-world clinical and translational applications. This Special Issue aims to bring together diverse perspectives, from engineering to clinical sciences, to foster a deeper understanding of how sensors can reshape neurophysiology and neurorehabilitation.

Join us in shaping the future of the field. We look forward to your contributions.

Dr. Luis Eduardo Cofre Lizama
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 250 words) can be sent to the Editorial Office for assessment.

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

  • sensors
  • neurophysiology
  • neurorehabilitation
  • metrics
  • mobile technology

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Published Papers (2 papers)

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Research

13 pages, 1266 KB  
Article
Measuring Walking Stability with a Mobile Phone in Older Adults: A Validation Study
by Andisheh Bastani, Maya G. Panisset and L. Eduardo Cofré Lizama
Sensors 2026, 26(7), 2060; https://doi.org/10.3390/s26072060 - 25 Mar 2026
Viewed by 1395
Abstract
(1) Background: The local divergence exponent (LDE) is a sensitive measure of walking stability deterioration and risk of falling in older adults. We aim to determine the validity the LDE measured using a mobile phone and to assess its ability to discriminate between [...] Read more.
(1) Background: The local divergence exponent (LDE) is a sensitive measure of walking stability deterioration and risk of falling in older adults. We aim to determine the validity the LDE measured using a mobile phone and to assess its ability to discriminate between healthy young and older adults; (2) Methods: 20 older adults (76.4 ± 4.6 years) and 20 young adults (29.1 ± 6.5 yrs) walked for 6 min on a 20-m walkway while wearing a research-grade inertial measurement unit (IMU) and a mobile phone placed on the sternum to record 3D acceleration data. The LDE was calculated using data from both devices for 3D, vertical (VT), mediolateral (ML), anteroposterior (AP), and norm (N) accelerations. ICC (3,1) was used to determine the validity of the mobile phone’s LDE. Mann–Whitney U tests were used to determine age-group discriminability of LDE measures; (3) Results: LDEs demonstrated excellent absolute agreement between the wearable IMU and mobile phone (ICC = 0.844). Mobile phone-derived LDEs demonstrated excellent validity relative to the wearable IMU (ICC > 0.75). No significant age-related differences in LDE were observed; wearable or mobile sensors (both p > 0.05); (4) Conclusions: LDEs measures obtained with a mobile phone are valid. No age group differences were identified. Full article
(This article belongs to the Special Issue Sensor in Neurophysiology and Neurorehabilitation)
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16 pages, 2512 KB  
Article
A Longitudinal Study of Physical Function Factors Related to Lower Limb Circumduction During Gait in Acute Stroke Patients with Hemiparesis
by Ryosuke Shibuya, Yusuke Sekiguchi, Keita Honda, Midori Miyagi, Dai Owaki, Mitsuhiro Hayashibe and Satoru Ebihara
Sensors 2025, 25(23), 7309; https://doi.org/10.3390/s25237309 - 1 Dec 2025
Viewed by 1443
Abstract
Circumduction gait in stroke patients, a compensatory movement involving pelvic hike and femoral abduction, increases energy cost. However, longitudinal studies on its mechanism during the acute phase are lacking. This study longitudinally investigated changes in the paretic femoral abduction angle during gait in [...] Read more.
Circumduction gait in stroke patients, a compensatory movement involving pelvic hike and femoral abduction, increases energy cost. However, longitudinal studies on its mechanism during the acute phase are lacking. This study longitudinally investigated changes in the paretic femoral abduction angle during gait in acute stroke patients and identified related factors. Twenty-two stroke patients were assessed twice: at gait initiation and 10–14 days later. Gait kinematics during a 3 m walk were measured using a depth sensor, and physical functions (SIAS) were evaluated. Changes were analyzed using paired t-tests and correlation analyses. Spatiotemporal parameters improved significantly. Kinematically, paretic femoral abduction (p = 0.049) and paretic pelvic hike (p = 0.025) significantly decreased, while maximum paretic knee flexion during swing (p = 0.026) increased. The decrease in femoral abduction correlated positively with the decrease in pelvic hike (r = 0.55) and negatively with the improvement in paretic ankle motor function (SIAS) (ρ = −0.49). The decrease in pelvic hike correlated negatively with the improvement in paretic knee motor function (SIAS) (ρ = −0.43). These results suggest that in acute stroke patients, the recovery of paretic ankle and knee motor functions leads to a reduction in compensatory femoral abduction and pelvic hike, respectively. This study provides insights for re-evaluating compensatory movements as an adaptive phenomenon during recovery, not merely as abnormal movements. Full article
(This article belongs to the Special Issue Sensor in Neurophysiology and Neurorehabilitation)
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