9th International Conference on Body Area Networks

Research Article

An improved solution for knee rehabilitation at home

  • @INPROCEEDINGS{10.4108/icst.bodynets.2014.257048,
        author={Roberto NERINO and Laura CONTIN and Antonio TIRRI and Giuseppe MASSAZZA and Antonio CHIMIENTI and Giuseppe PETTITI and Veronica CIMOLIN and Nicola CAU},
        title={An improved solution for knee rehabilitation  at home},
        proceedings={9th International Conference on Body Area Networks},
        publisher={ICST},
        proceedings_a={BODYNETS},
        year={2014},
        month={11},
        keywords={knee rehabilitation inertial measurement unit functional calibration orientation estimation tele-rehabilitation joint coordinate system joint angle},
        doi={10.4108/icst.bodynets.2014.257048}
    }
    
  • Roberto NERINO
    Laura CONTIN
    Antonio TIRRI
    Giuseppe MASSAZZA
    Antonio CHIMIENTI
    Giuseppe PETTITI
    Veronica CIMOLIN
    Nicola CAU
    Year: 2014
    An improved solution for knee rehabilitation at home
    BODYNETS
    ACM
    DOI: 10.4108/icst.bodynets.2014.257048
Roberto NERINO1,*, Laura CONTIN2, Antonio TIRRI3, Giuseppe MASSAZZA4, Antonio CHIMIENTI1, Giuseppe PETTITI1, Veronica CIMOLIN5, Nicola CAU5
  • 1: Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni (IEIIT CNR),Turin, Italy
  • 2: Strategy&Innovation/Innovation/Open Innovation Research ,Telecom Italia, Turin, Italy
  • 3: Strategy&Innovation/Innovation/Open Innovation Research, Telecom Italia, Pisa, Italy
  • 4: Università degli Studi di Torino, Scuola di Medicina Fisica e Riabilitazione, Turin,Italy
  • 5: Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Italy
*Contact email: roberto.nerino@ipolito.it

Abstract

The paper illustrates a prototype of an end-to-end solution to support knee rehabilitation at home. The solution has been designed by a multidisciplinary team, including engineers, physical therapists, physicians and ergonomists. The correct execution of the rehabilitation exercises is evaluated in real time by monitoring the range of the knee joint angles by means of Inertial Measurement Units (IMUs) worn by the patient on the shank and thigh. The parameters of the kinematic model of the lower limb, necessary for knee angle estimation, are estimated by an innovative functional calibration algorithm, which is detailed in the paper. The main advantages of this algorithm is its robustness to incorrect IMU placement and to the specific anatomical parameter of the users. Details of the solution architecture and its sub-systems are presented along with preliminary results of the comparison with a reference optoelectronic motion capture system.