Background: Telemonitoring, a branch of telemedicine, involves the use of technological tools to remotely detect clinical data and evaluate patients. Telemonitoring of patients with Parkinson's disease (PD) should be performed using reliable and discriminant motor measures. Furthermore, the method of data collection and transmission, and the type of subjects suitable for telemonitoring must be well defined. Objective: To analyze differences in patients with PD and healthy controls (HC) with the wearable inertial device SensHands–SensFeet (SH–SF), adopting a standardized acquisition mode, to verify if motor measures provided by SH–SF have a high discriminating capacity and high intraclass correlation coefficient (ICC). Methods: Altogether, 64 patients with mild-to-moderate PD and 50 HC performed 14 standardized motor activities for assessing bradykinesia, postural and resting tremors, and gait parameters. SH–SF inertial devices were used to acquire movements and calculate objective motor measures of movement (total: 75). For each motor task, five or more biomechanical parameters were measured twice. The results were compared between patients with PD and HC. Results: Fifty-eight objective motor measures significantly differed between patients with PD and HC; among these, 32 demonstrated relevant discrimination power (Cohen's d > 0.8). The test–retest reliability was excellent in patients with PD (median ICC = 0.85 right limbs, 0.91 left limbs) and HC (median ICC = 0.78 right limbs, 0.82 left limbs). Conclusion: In a supervised environment, the SH–SF device provides motor measures with good results in terms of reliability and discriminant ability. The reliability of SH–SF measurements should be evaluated in an unsupervised home setting in future studies.

Hands–feet wireless devices: Test–retest reliability and discriminant validity of motor measures in Parkinson's disease telemonitoring

Salvadori, Stefano;Pecori, Alessandro;
2022

Abstract

Background: Telemonitoring, a branch of telemedicine, involves the use of technological tools to remotely detect clinical data and evaluate patients. Telemonitoring of patients with Parkinson's disease (PD) should be performed using reliable and discriminant motor measures. Furthermore, the method of data collection and transmission, and the type of subjects suitable for telemonitoring must be well defined. Objective: To analyze differences in patients with PD and healthy controls (HC) with the wearable inertial device SensHands–SensFeet (SH–SF), adopting a standardized acquisition mode, to verify if motor measures provided by SH–SF have a high discriminating capacity and high intraclass correlation coefficient (ICC). Methods: Altogether, 64 patients with mild-to-moderate PD and 50 HC performed 14 standardized motor activities for assessing bradykinesia, postural and resting tremors, and gait parameters. SH–SF inertial devices were used to acquire movements and calculate objective motor measures of movement (total: 75). For each motor task, five or more biomechanical parameters were measured twice. The results were compared between patients with PD and HC. Results: Fifty-eight objective motor measures significantly differed between patients with PD and HC; among these, 32 demonstrated relevant discrimination power (Cohen's d > 0.8). The test–retest reliability was excellent in patients with PD (median ICC = 0.85 right limbs, 0.91 left limbs) and HC (median ICC = 0.78 right limbs, 0.82 left limbs). Conclusion: In a supervised environment, the SH–SF device provides motor measures with good results in terms of reliability and discriminant ability. The reliability of SH–SF measurements should be evaluated in an unsupervised home setting in future studies.
2022
Istituto di Fisiologia Clinica - IFC
Parkinson's disease
biomechanical parameters
motor function assessment
subclinical motor abnormalities
telemonitoring
wearable sensors
telemedicine
File in questo prodotto:
File Dimensione Formato  
Maremmani et al 2022.pdf

accesso aperto

Descrizione: Hands–feet wireless devices: Test–retest reliability and discriminant validity of motor measures in Parkinson's disease telemonitoring
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 999.75 kB
Formato Adobe PDF
999.75 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/536715
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 3
social impact