fiee 16(8): e4

Research Article

Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications.

Download1243 downloads
  • @ARTICLE{10.4108/eai.14-10-2015.2261613,
        author={Nicola Carbonaro and Federico Lorussi and Alessandro Tognetti and Danilo De Rossi},
        title={Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications.},
        journal={EAI Endorsed Transactions on Future Intelligent Educational Environments},
        volume={2},
        number={8},
        publisher={ACM},
        journal_a={FIEE},
        year={2015},
        month={12},
        keywords={wearable technologies, textile goniometers, imus,},
        doi={10.4108/eai.14-10-2015.2261613}
    }
    
  • Nicola Carbonaro
    Federico Lorussi
    Alessandro Tognetti
    Danilo De Rossi
    Year: 2015
    Evaluation of wearable KPF goniometers in knee flexion-extension measurement for daily-life applications.
    FIEE
    EAI
    DOI: 10.4108/eai.14-10-2015.2261613
Nicola Carbonaro1, Federico Lorussi1, Alessandro Tognetti2,*, Danilo De Rossi3
  • 1: Research Center E.Piaggio, University of Pisa, Italy
  • 2: Research Center E.Piaggio, University of Pisa, Italy; Information Engineering Department, University of Pisa, Italy
  • 3: Research Center E.Piaggio, University of Pisa, Italy;
*Contact email: a.tognetti@centropiaggio.unipi.it

Abstract

Rehabilitation for stroke survivor is an important activity to recover daily-life functional performances. A daily life monitoring system composed of different subsystem was developed within the INTERACTION EU project. Sensing trousers using a couple of IMUs integrated on the thighs and shanks and a textile goniometers in the knee region was designed to detect kinematic asymmetries between affected and unaffected legs in gait/ambulation. In this study we compared the performances of our textile goniometer based on KPF materials with a couple of IMUs for the evaluation of knee flexion-extension. We used a statistical approach (T-student test) to verify that the signal gathered from the goniometer has the same information of the one extracted from the IMUs. These results demonstrate a reliable performance of our sensors, which have the advantage to be more flexible, lighter and less expensive than current wearable technologies.