Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies

Overview

Journal Sensors (Basel)

Publisher MDPI

Specialty Biotechnology

Date 2020 Sep 15

PMID 32927816

Citations 10

Authors

Alessandro Zampogna

Alessandro Manoni

Francesco Asci

Claudio Liguori

Fernanda Irrera

Antonio Suppa

Affiliations

Soon will be listed here.

Abstract

In Parkinson's disease (PD), abnormal movements consisting of hypokinetic and hyperkinetic manifestations commonly lead to nocturnal distress and sleep impairment, which significantly impact quality of life. In PD patients, these nocturnal disturbances can reflect disease-related complications (e.g., nocturnal akinesia), primary sleep disorders (e.g., rapid eye movement behaviour disorder), or both, thus requiring different therapeutic approaches. Wearable technologies based on actigraphy and innovative sensors have been proposed as feasible solutions to identify and monitor the various types of abnormal nocturnal movements in PD. This narrative review addresses the topic of abnormal nocturnal movements in PD and discusses how wearable technologies could help identify and assess these disturbances. We first examine the pathophysiology of abnormal nocturnal movements and the main clinical and instrumental tools for the evaluation of these disturbances in PD. We then report and discuss findings from previous studies assessing nocturnal movements in PD using actigraphy and innovative wearable sensors. Finally, we discuss clinical and technical prospects supporting the use of wearable technologies for the evaluation of nocturnal movements.

Citing Articles

Abnormal arm swing movements in Parkinson's disease: onset, progression and response to L-Dopa.

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Commercial symptom monitoring devices in Parkinson's disease: benefits, limitations, and trends.

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Devices for remote continuous monitoring of people with Parkinson's disease: a systematic review and cost-effectiveness analysis.

Cox E, Wade R, Hodgson R, Fulbright H, Phung T, Meader N Health Technol Assess. 2024; 28(30):1-187.

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Unveiling the Unpredictable in Parkinson's Disease: Sensor-Based Monitoring of Dyskinesias and Freezing of Gait in Daily Life.

Zampogna A, Borzi L, Rinaldi D, Artusi C, Imbalzano G, Patera M Bioengineering (Basel). 2024; 11(5).

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