Robotic and Sensor Technologies for Mobility in Older People.

Journal: Rejuvenation research
Published Date:

Abstract

Maintaining independent mobility is fundamental to independent living and to the quality of life of older people. Robotic and sensor technologies may offer a lot of potential and can make a significant difference in the lives of older people and to their primary caregivers. The aim of this study was to provide a presentation of the methods that are used up till now for analysis and evaluation of human mobility utilizing sensor technologies and to give the state of the art in robotic platforms for supporting older people with mobility limitations. The literature was reviewed and systematic reviews of cohort studies and other authoritative reports were identified. The selection criteria included (1) patients with age ≥60 years; (2) patients with unstable gait, with or without recurrent falls; (3) patients with slow movements, short strides, and little trunk movement; (4) sensor technologies that are currently used for mobility evaluation; and (5) robotic technologies that can serve as a supporting companion for older people with mobility limitations. One hundred eighty-one studies published up until February 2017 were identified, of which 36 were included. Two categories of research were identified from the review regarding the robot and sensor technologies: (1) sensor technologies for mobility analysis and (2) robots for supporting older people with mobility limitations. Potential for robotic and sensor technologies can be taken advantage of for evaluation and support at home for elder persons with mobility limitations in an automated way without the need of the physical presence of any medical personnel, reducing the stress of caregivers.

Authors

  • Lazaros Penteridis
    1 Ortelio Ltd., Coventry University Technology Park , Puma Way, Coventry, United Kingdom .
  • Grazia D'Onofrio
    2 Complex Unit of Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Daniele Sancarlo
    2 Complex Unit of Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Francesco Giuliani
    4 ICT, Innovation & Research Unit, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Francesco Ricciardi
    4 ICT, Innovation & Research Unit, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Filippo Cavallo
    The BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Pisa 56025, Italy. filippo.cavallo@santannapisa.it.
  • Antonio Greco
    2 Complex Unit of Geriatrics, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza," San Giovanni Rotondo, Foggia, Italy .
  • Ilias Trochidis
    1 Ortelio Ltd., Coventry University Technology Park , Puma Way, Coventry, United Kingdom .
  • Alexander Gkiokas
    1 Ortelio Ltd., Coventry University Technology Park , Puma Way, Coventry, United Kingdom .