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.
Automatic Assessment of Clinical Frailty of Parkinson’s Disease Subjects
Fusca, Marcello C;Perego, Paolo;Giuseppe Andreoni
2021-01-01
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.File | Dimensione | Formato | |
---|---|---|---|
Wearables in Healthcare_actigraphy.pdf
Accesso riservato
Descrizione: pubblicazione
:
Publisher’s version
Dimensione
2.8 MB
Formato
Adobe PDF
|
2.8 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.