Article ; Online: Digital biomarkers of mobility and quality of life in Parkinson's disease based on a wearable motion analysis LAB.
Computer methods and programs in biomedicine
2023 Volume 244, Page(s) 107967
Abstract: Background and objective: Functional mobility, an indicator of the quality of life (QoL), requires fast and flexible changes during motion, which are limited in Parkinson's disease (PD). Recent body-worn sensors have emerged in the last decades as ... ...
Abstract | Background and objective: Functional mobility, an indicator of the quality of life (QoL), requires fast and flexible changes during motion, which are limited in Parkinson's disease (PD). Recent body-worn sensors have emerged in the last decades as potential solutions to produce digital biomarkers able to quantify mobility outside routine consultations and during real-life scenarios for multiple days at a time. The proposed research aims to study the ability of a wearable motion analysis lab, developed by our team, to produce digital biomarkers of mobility and QoL levels in patients with PD. Methods: A cross-sectional study was followed, including 40 patients stratified into three subgroups according to a clinic motor examination and a QoL questionnaire. Results: The achieved outcomes demonstrate the ability of the proposed high-tech solution to measure prototypical gait impairments and discriminate motor condition (AUC=0,890) and patients' QoL levels (AUC=0,950). Also, from the measured multiple gait-associated parameters, we identified the variables with the most potential to be applied as digital biomarkers of mobility (67 % of the metrics) and QoL (72 % of the metrics) in PD. Conclusions: Overall, we confirmed our hypothesis of using our body-worn sensor-based solution for passive or active monitoring of mobility and QoL in PD to produce objective, feasible, and continuous digital biomarkers. |
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MeSH term(s) | Humans ; Parkinson Disease/diagnosis ; Quality of Life ; Cross-Sectional Studies ; Biomarkers ; Wearable Electronic Devices |
Chemical Substances | Biomarkers |
Language | English |
Publishing date | 2023-12-02 |
Publishing country | Ireland |
Document type | Journal Article |
ZDB-ID | 632564-6 |
ISSN | 1872-7565 ; 0169-2607 |
ISSN (online) | 1872-7565 |
ISSN | 0169-2607 |
DOI | 10.1016/j.cmpb.2023.107967 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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