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From Science to Recovery: Bridging Sensing Technology and Neurology for a Better Future

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 2675

Special Issue Editors

Dr. Hatice Kumru

E-Mail Website
Guest Editor
Institut Guttmann, 08916 Badalona, Spain
Interests: neuromodulation; neuroplasticity; neurology; neurorehabilitation; spinal cord
Special Issues, Collections and Topics in MDPI journals
Dr. Yolanda Castillo-Escario

E-Mail Website
Guest Editor
Institute for Bioengineering of Catalonia (IBEC), 08028 Barcelona, Spain
Interests: biomedical signal processing; mHealth systems; sleep apnea; spinal cord injury; motor control
Dr. Antonio Oliviero

E-Mail Website
Guest Editor
Hospital Nacional de Parapléjicos, 45004 Toledo, Spain
Interests: neuromodulation techniques to treat neurological and neuropsychiatric disorders; clinical trials in spinal cord injury

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the latest advancements in innovative technologies for the assessment, monitoring, and treatment of neurological and neurorehabilitation conditions. As artificial intelligence (AI) and neuroengineering continue to evolve, there is an increasing need for solutions that address the complexities of neurological disorders and enhance patient outcomes.

We welcome submissions that present novel sensors, systems, or techniques for evaluating various aspects of the neurology and neurorehabilitation process. Topics of interest include, but are not limited to, neurophysiological activity, motor control, cardiorespiratory function, sleep monitoring, robotic technologies, and overall neurorehabilitation—critical factors in optimizing recovery strategies.

Key areas of focus include the following:

  • Advanced neurophysiological monitoring systems for real-time brain and spinal cord assessment.
  • Wearable sensors for tracking motor function and mobility.
  • Smart systems for evaluating cardiorespiratory responses during rehabilitation.
  • Sleep analysis technologies linked to neurological recovery.
  • AI-driven tools for personalized diagnosis and treatment.
  • Non-invasive stimulation methods, such as transcranial magnetic stimulation (TMS) or transcutaneous spinal cord stimulation (tSCS).

Dr. Hatice Kumru
Dr. Yolanda Castillo-Escario
Dr. Antonio Oliviero
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 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

  • neurology
  • neurorehabilitation
  • artificial intelligence
  • sleep
  • wearable sensors
  • smart system
  • neurorobotics
  • neuromodulation
  • neurophysiology

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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20 pages, 1009 KB  
Article
Early Screening of Sleep-Disordered Breathing Using a Smartphone-Based Portable System in Stroke Patients and Its Relevance for Rehabilitation: A Prospective Observational Study
by Sergiu Albu, Yolanda Castillo-Escario, Alicia Romero Marquez, Mónica López Andurell, Raimon Jané and Hatice Kumru
Sensors 2026, 26(3), 794; https://doi.org/10.3390/s26030794 - 24 Jan 2026
Viewed by 1712
Abstract
Sleep-disordered breathing (SDB) is common after stroke and may negatively influence recovery, yet it is frequently underdiagnosed. Portable respiratory monitoring devices could facilitate early SDB screening in these patients. We estimated the prevalence of sleep apnea (SA) using a smartphone-based monitoring system in [...] Read more.
Sleep-disordered breathing (SDB) is common after stroke and may negatively influence recovery, yet it is frequently underdiagnosed. Portable respiratory monitoring devices could facilitate early SDB screening in these patients. We estimated the prevalence of sleep apnea (SA) using a smartphone-based monitoring system in post-stroke patients and examined associations between respiratory indices, stroke severity and disability (NIHSS, mRS), and rehabilitation outcomes (motor and cognitive Functional Independence Measure; FIM). Consecutive patients admitted to inpatient rehabilitation within three months after a stroke underwent an overnight assessment with a smartphone-based respiratory monitoring device, which estimated the apnea–hypopnea index (AHI), mean and minimum SpO2, time with SpO2 < 94% and <90%, and hourly oxygen desaturation events (≥3% and ≥4%). Of the 104 screened patients, 59 were recruited, while 56 had valid recordings. Most patients (89%) had previously undiagnosed SA: 11% mild (AHI ≥ 5 and <15), 38% moderate (AHI ≥ 15 and <30), and 41% severe (AHI ≥ 30). Greater event burden and nocturnal hypoxemia were associated with older age, worse baseline disability (mRS), lower admission motor FIMs, and poorer rehabilitation metrics. Smartphone-based portable monitoring is an accessible, easy-to-use approach that may enable earlier identification of SA, particularly in individuals with substantial hypoxemia or respiratory event burden. Full article
(This article belongs to the Special Issue From Science to Recovery: Bridging Sensing Technology and Neurology for a Better Future)
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Review

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22 pages, 1135 KB  
Review
Sensor Technologies for Measuring Tongue Biomechanics Relevant to Swallowing: A Narrative Review
by Cagla Kantarcigil, Loni Arrese, Sang Jun Kim, Isabella Gianakopoulos, Marina Bulazo, Min Ku Kim and Brittany N. Krekeler
Sensors 2026, 26(11), 3453; https://doi.org/10.3390/s26113453 - 30 May 2026
Viewed by 460
Abstract
Tongue biomechanics are central to swallowing, yet commonly used clinical assessments provide limited insight into the forces and coordination underlying bolus propulsion. Sensor technologies have emerged to address this gap, but the literature remains fragmented across device classes, calibration approaches, and outcome definitions. [...] Read more.
Tongue biomechanics are central to swallowing, yet commonly used clinical assessments provide limited insight into the forces and coordination underlying bolus propulsion. Sensor technologies have emerged to address this gap, but the literature remains fragmented across device classes, calibration approaches, and outcome definitions. This narrative review synthesizes sensor modalities used to characterize tongue biomechanics in dysphagia assessment and rehabilitation. A structured search of biomedical databases identified studies describing pneumatic, piezoelectric, strain gauge, capacitive, optical, and position-tracking systems. Across modalities, consistent physiological patterns are observed, including anterior-to-posterior pressure sequencing and task-dependent modulation with bolus properties. However, cross-study comparison is constrained by variability in sensor configuration, placement, and calibration, limiting the development of shared normative thresholds. To address this, we introduce a comparative maturity framework that situates modalities along a continuum from clinically established to proof-of-concept systems. Pneumatic and piezoelectric devices demonstrate the strongest evidence base and clinical integration, whereas capacitive and optical systems remain early-stage with minimal validation in patient populations. Position-tracking approaches provide complementary kinematic information but remain constrained by cost and ecological validity. Progress will require standardized calibration frameworks, harmonized protocols, and multimodal integration to support clinically interpretable metrics of tongue function. Full article
(This article belongs to the Special Issue From Science to Recovery: Bridging Sensing Technology and Neurology for a Better Future)
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