An improved solution for knee rehabilitation at home (Contributo in atti di convegno)

Type
Label
  • An improved solution for knee rehabilitation at home (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • R. Nerino*, L. Contin§, A. Tirri^, G. Massazza?, A. Chimienti*, G. Pettiti*, N. Cauº, V. Cimolinº (2014)
    An improved solution for knee rehabilitation at home
    in Bodynets 2014, 9th International Conference on Body Area Networks, London, Great Britain, September 29-October 1, 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • R. Nerino*, L. Contin§, A. Tirri^, G. Massazza?, A. Chimienti*, G. Pettiti*, N. Cauº, V. Cimolinº (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • The paper will be published in the proceedings of the conference and submitted to ACM Digital Library. It will also be submitted for indexing by ISI, EI Compendex, Scopus, Google Scholar (literal)
Note
  • ACM DL (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • * Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni (IEIIT- CNR),Turin, Italy § Strategy&Innovation/Innovation/Open Innovation Research -Telecom Italia, Turin, Italy ^ Strategy&Innovation/Innovation/Open Innovation Research -Telecom Italia, Pisa, Italy ? Università degli Studi di Torino, Scuola di Medicina Fisica e Riabilitazione, Turin, Italy º Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Italy (literal)
Titolo
  • An improved solution for knee rehabilitation at home (literal)
Abstract
  • 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. (literal)
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