Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy.

gait analysis optoelectronic system progressive supranuclear palsy spatiotemporal parameters wearable device

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
16 Dec 2023
Historique:
received: 14 11 2023
revised: 12 12 2023
accepted: 14 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

The use of wearable sensors for calculating gait parameters has become increasingly popular as an alternative to optoelectronic systems, currently recognized as the gold standard. The objective of the study was to evaluate the agreement between the wearable Opal system and the optoelectronic BTS SMART DX system for assessing spatiotemporal gait parameters. Fifteen subjects with progressive supranuclear palsy walked at their self-selected speed on a straight path, and six spatiotemporal parameters were compared between the two measurement systems. The agreement was carried out through paired data test, Passing Bablok regression, and Bland-Altman Analysis. The results showed a perfect agreement for speed, a very close agreement for cadence and cycle duration, while, in the other cases, Opal system either under- or over-estimated the measurement of the BTS system. Some suggestions about these misalignments are proposed in the paper, considering that Opal system is widely used in the clinical context.

Identifiants

pubmed: 38139705
pii: s23249859
doi: 10.3390/s23249859
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Italian Ministry of Health
ID : GR-2019-12370133

Auteurs

Carlo Ricciardi (C)

Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.

Noemi Pisani (N)

Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy.

Leandro Donisi (L)

Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, 80138 Naples, Italy.

Filomena Abate (F)

Center for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.

Marianna Amboni (M)

Center for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.

Paolo Barone (P)

Center for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.

Marina Picillo (M)

Center for Neurodegenerative Diseases (CEMAND), Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84131 Salerno, Italy.

Mario Cesarelli (M)

Department of Engineering, University of Sannio, 82100 Benevento, Italy.

Francesco Amato (F)

Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy.

Classifications MeSH