Research Article
Automatic Assessment of Clinical Frailty of Parkinson’s Disease Subjects
@INPROCEEDINGS{10.1007/978-3-030-76066-3_14, author={Marcello C. Fusca and Emanuela Riva and Paolo Perego and Francesca Omini and Emanuele Conte and Marco Impallomeni and Stefania Rosaspina and Antonio Grillo and Suardi Teresa and Stefano Fabbrini and Giuseppe Andreoni}, title={Automatic Assessment of Clinical Frailty of Parkinson’s Disease Subjects}, proceedings={Wearables in Healthcare. Second EAI International Conference, HealthWear 2020, Virtual Event, December 10-11, 2020, Proceedings}, proceedings_a={HEALTHWEAR}, year={2021}, month={5}, keywords={Clinical frailty scale Wearable Actigraphy Parkinson’s disease Functional assessment}, doi={10.1007/978-3-030-76066-3_14} }- Marcello C. Fusca
Emanuela Riva
Paolo Perego
Francesca Omini
Emanuele Conte
Marco Impallomeni
Stefania Rosaspina
Antonio Grillo
Suardi Teresa
Stefano Fabbrini
Giuseppe Andreoni
Year: 2021
Automatic Assessment of Clinical Frailty of Parkinson’s Disease Subjects
HEALTHWEAR
Springer
DOI: 10.1007/978-3-030-76066-3_14
Abstract
A wearable actigraph was applied in the functional assessment of subject affected by Parkinson Disease in Day Hospital setting. 24 Parkinson Disease patients participated in this study. A set of standard functional tests (6-Minutes Walking Test, Timed-Up-and-Go test, 10-m and 50-m) were administered to collect data of functioning and physiatrist assigned the score according to the Clinical Frailty Scale. An automatic evaluation of this frailty score is proposed using data from 6-Minutes Walking Test and Timed-Up-and-Go test. The coherence of this automated classification method based on a basic summative linear equation of the 2 functional scores, is 66,7% with respect to the score assigned by skilled physiatrists. The inclusion of the other data is expected to improve reliability and the possibility to have an automatic identification of the frailty level through quantitative data could open the possibility to have a more detailed assessment and even continuous and domiciliary follow ups. Our goal is to have a predictive tool for the patient’s state of frailty.
