IEEE Technology and Society Magazine - December 2015 - 29

Senzorized Mat
Module

Toy Sensors

Trunk IMU

Force Resistive Sensors
Pressure Sensors
Orientation Sensor

Left Arm IMU

Right Arm IMU

Sidewall Buttons
and Switches

IMU
Posture Sensors

Reference IMU

Trunk Orientation Sensor
Bracelets

FIGurE 3. Modules and technologies adopted in the CareToy project.

(http://cabrr.cua.edu/research/
Telerehabilitation.cfm#telemed)
develops a device (i.e., AutoCite) to analyze the upper
extremity tasks, while also providing adequate graphical feedback to the patient. This system
could be use at the patient's
home and could be a potential
and inexpensive tool for evaluating the therapies for upper
extremities. It is also a powerful telemedicine platform used
by clinicians and researchers at
the National Rehabilitation Hospital (NRH) of Dublin, Ireland.

struct a patient's movements and
perform rehabilitation analysis with
the use of low-cost sensors, such
as Kinect, which only needs a computer for data processing. These
experiences represent a first step
towards systematic introduction and
utilization of such systems, which
are already diffused for multimedia
and gaming in many homes. These
measures will enable territorial continuity of health assistance within the
growing paradigms of e-Health, WellAging, Smart Cities, and the Internet
of Things.

Author Information

Home Based Rehabilitation

R. Altilio, L. Liparulo, M. Panella, and
A. Proietti are with the Department
of Information Engineering, Electronics and Telecommunications (DIET),
University of Rome "La Sapienza,"
Italy. Email: rosa.altilio@uniroma1.it;
luca.liparulo@uniroma1.it; massimo.
panella@uniroma1.it; and andrea.
proietti@uniroma1.it.

In this paper, we have discussed
basic characteristics of ICT systems
belonging to the emerging field of
home-based applications for TRH
of motor disabilities. We have also
presented innovative technologies
based on multimedia and gamification techniques that able to recondecember 2015

∕

IEEE Technology and Society Magazine

M. Paoloni is with the Biomechanics and Movement Analysis Laboratory, Physical Medicine and Rehabilitation, University of Rome "La Sapienza," Italy. Email: marco.paoloni@
uniroma1.it.

References
[1] T.G. Russell, "Physical rehabilitation
using telemedicine," J. Telemedicine and
Telecare, vol. 13, no. 5, pp. 217-220, 2007.
[2] J. Langan, K. Delave, K., L. Phillips, P.
Pangilinan, and S.H. Brown, "Home-based
telerehabilitation shows improved upper
limb function in adults with chronic stroke:
A pilot study," J. Rehabilitation Medicine,
vol. 45, no. 2, pp. 217-220, 2013.
[3] N.R. Chumbler, P. Quigley, X. Li, M.
Morey, D. Rose, J. Sanford, P. Griffiths, and
H. Hoenig, "Effects of telerehabilitation on
physical function and disability for stroke
patients: a randomized, controlled trial,"
Stroke, vol. 43, no. 8, pp. 2168-2174, 2012.
[4] L. Piron, A. Turolla, M. Agostini, C. Zucconi, F. Cortese, M. Zampolini, M. Zannini,
M. Dam, L. Ventura, M. Battauz, and P. Tonin,
"Exercises for paretic upper limb after
stroke: A combined virtual-reality and telemedicine approach," J. Rehabilitation Medicine, vol. 41, no. 12, pp. 1016-1102, 2009.
[5] K.E. Laver, D. Schoene, M. Crotty, S.
George, N.A. Lannin, and C. Sherrington,

http://cabrr.cua.edu/research/

Table of Contents for the Digital Edition of IEEE Technology and Society Magazine - December 2015