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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: 25 January 2026 | Viewed by 65

Special Issue Editors


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Guest Editor
Institut Guttmann, 08916 Badalona, Spain
Interests: neuromodulation; neuroplasticity; neurology; neurorehabilitation; spinal cord
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute for Bioengineering of Catalonia (IBEC), 08028 Barcelona, Spain
Interests: biomedical signal processing; mHealth systems; sleep apnea; spinal cord injury; motor control

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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 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

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

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Published Papers

This special issue is now open for submission.
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