DocumentCode :
3516839
Title :
Smart vest for posture monitoring in rehabilitation exercises
Author :
Sardini, Emilio ; Serpelloni, Mauro ; Ometto, Marco
Author_Institution :
Dept. of Inf. Eng., Univ. of Brescia, Brescia, Italy
fYear :
2012
fDate :
7-9 Feb. 2012
Firstpage :
1
Lastpage :
5
Abstract :
Rehabilitation at home has many advantages, both in terms of increased efficiency of health service and comfort for the patient. The monitoring of any human physiological parameters in home environment has the primary need to be non-invasive for the patient and at the same time motivating. This paper describes a wearable system for monitoring physiological posture during rehabilitation exercises to the spine in patients with mild scoliosis. The system can measure the posture of the subject through a sensorized T-shirt, which uses an inductive sensor. This article reports the conceptual framework and the description of the first fabricated device. The preliminary experimental results are reported and compared with the results obtained via an optical system that measures the position of markers over the patient´s back. The instrumented T-shirt, integrated with an appropriate conditioning and transmission electronics, could be used as a remote support tool and as a feedback system for the identification of the patient´s correct posture.
Keywords :
biomechanics; biomedical equipment; inductive sensors; intelligent sensors; medical disorders; optical sensors; patient monitoring; patient rehabilitation; position measurement; health service; home environment; inductive sensor; mild scoliosis; non-invasive; optical system; patient monitoring; physiological posture monitoring; position measurement; rehabilitation exercises; sensorized T-shirt; smart vest; transmission electronics; wearable system; Back; Biomedical monitoring; Impedance; Monitoring; Optical sensors; Optical variables measurement; Resonant frequency; impedance analysis; inductive sensor; instrumented shirt; optical measurements; posture monitoring; rehabilitation; scoliosis; smart vest; telemedicine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors Applications Symposium (SAS), 2012 IEEE
Conference_Location :
Brescia
Print_ISBN :
978-1-4577-1724-6
Type :
conf
DOI :
10.1109/SAS.2012.6166300
Filename :
6166300
Link To Document :
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