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Advanced Wearable Sensors and Other Sensing Technologies for Diagnosis and Treatment of Parkinson's Disease and Movement Disorders

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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 956

Special Issue Editors

Dr. Massimo Marano

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Guest Editor
Neurology, Neurophysiology, Neurobiology and Psychiatry Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Viale Alvaro del Portillo 200, 00128 Rome, Italy
Interests: movement disorders; Parkinson’s disease and parkinsonism; dystonia; tremor; Huntington’s disease; botulinum toxin; remote patient monitoring; gait analysis; deep brain stimulation; neurophysiology
Prof. Dr. Antonio Suppa

E-Mail Website
Guest Editor
Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy
Interests: pathophysiology of motor symptoms; Parkinson's disease (PD); human movement disorders; wireless and wearable technology; inertial measurement units (IMUs); early diagnosis; treatment of PD patients
Special Issues, Collections and Topics in MDPI journals
Dr. Luca Marsili

E-Mail Website
Guest Editor
Department of Neurology, James J. and Joan A. Gardner Family Center for Parkinson's Disease and Movement Disorders, University of Cincinnati, Cincinnati, OH, USA
Interests: movement disorders; Parkinson's disease; atypical parkinsonism; genetics; tremor
Special Issues, Collections and Topics in MDPI journals
Dr. Andrea Pilotto

E-Mail Website
Guest Editor
Dipartimento di Scienze Cliniche e Sperimentali, University of Brescia, 25121 Brescia, Italy
Interests: digital markers of neurological disease; gait and movement mobile health technologies; optic sensors; cognitive digital assessment; interfaces between sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Parkinson's disease is a degenerative neurological disorder that affects millions of people worldwide, posing significant challenges to healthcare systems and the quality of life for patients and caregivers. Given its high prevalence and the heterogeneity of its clinical motor and non-motor manifestations, Parkinson’s disease is a model for the study of other related movement disorders such as atypical parkinsonism, Huntington’s disease and other forms of chorea, degenerative and inheritable ataxia, and dystonia. The integration of advanced wearable sensors and biosensors into the management of Parkinson's disease and movement disorders marks a paradigm shift from traditional methods to more personalized, accurate, and early detection strategies, which also aim to improve the outcome of clinical trials.

This Special Issue will address the latest advancements in sensing technologies that aid in the diagnosis, monitoring, and treatment of Parkinson's disease and related movement disorders. We welcome original research papers or pilot studies on innovative methodologies focused on sensing technologies ranging from wearable devices to biosensors used to detect changes in motor and non-motor functions and other clinical or biological measures associated with Parkinson’s disease and related movement disorders. These technologies facilitate the timely detection, monitoring, and assessment of symptoms in routine care or in clinical trials, enabling healthcare professionals to design or prescribe personalized treatment plans tailored to each patient's needs.

Dr. Massimo Marano
Prof. Dr. Antonio Suppa
Dr. Luca Marsili
Dr. Andrea Pilotto
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

  • Parkinson’s disease
  • movement disorders
  • parkinsonism
  • dystonia
  • ataxia
  • chorea
  • biosensors
  • wearable sensors
  • gait analysis
  • remote patient monitoring

Published Papers (1 paper)

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Research

14 pages, 2167 KiB  
Article
A New Wrist-Worn Tool Supporting the Diagnosis of Parkinsonian Motor Syndromes
by Luigi Battista and Antonietta Romaniello
Sensors 2024, 24(6), 1965; https://doi.org/10.3390/s24061965 - 19 Mar 2024
Viewed by 699
Abstract
To date, clinical expert opinion is the gold standard diagnostic technique for Parkinson’s disease (PD), and continuous monitoring is a promising candidate marker. This study assesses the feasibility and performance of a new wearable tool for supporting the diagnosis of Parkinsonian motor syndromes. [...] Read more.
To date, clinical expert opinion is the gold standard diagnostic technique for Parkinson’s disease (PD), and continuous monitoring is a promising candidate marker. This study assesses the feasibility and performance of a new wearable tool for supporting the diagnosis of Parkinsonian motor syndromes. The proposed method is based on the use of a wrist-worn measuring system, the execution of a passive, continuous recording session, and a computation of two digital biomarkers (i.e., motor activity and rest tremor index). Based on the execution of some motor tests, a second step is provided for the confirmation of the results of passive recording. In this study, fifty-nine early PD patients and forty-one healthy controls were recruited. The results of this study show that: (a) motor activity was higher in controls than in PD with slight tremors at rest and did not significantly differ between controls and PD with mild-to-moderate tremor rest; (b) the tremor index was smaller in controls than in PD with mild-to-moderate tremor rest and did not significantly differ between controls and PD patients with slight tremor rest; (c) the combination of the said two motor parameters improved the performances in differentiating controls from PD. These preliminary findings demonstrate that the combination of said two digital biomarkers allowed us to differentiate controls from early PD. Full article
(This article belongs to the Special Issue Advanced Wearable Sensors and Other Sensing Technologies for Diagnosis and Treatment of Parkinson's Disease and Movement Disorders)
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