DocumentCode :
645824
Title :
Rehabilitation database based on haptic signal processing
Author :
Tsuji, Takao ; Kurita, Nobuyuki ; Yamada, Makoto ; Sakaino, Sho ; Kaneko, Yuya
Author_Institution :
Grad. Sch. of Sci. & Eng., Saitama Univ., Saitama, Japan
fYear :
2013
fDate :
26-29 Aug. 2013
Firstpage :
13
Lastpage :
18
Abstract :
The growth of the internet brings up new keywords for the information technology, such as cloud computing and big data. The increasing data in the information society has a potential to offer new insight into the real world. On the other hand, the increasing demand for rehabilitation of aged people has resulted in increased demand for physical therapy robots. Therefore, this paper proposes the construction of rehabilitation database extending the concept of medical cloud technologies. We discuss the possibility of establishing a new validation methodology by generating database created using the data collected with rehabilitation equipment. Statistical processing was applied to the data collected using the rehabilitation equipment, for investigating an example of a validation method. The results show that a new knowledge for physical therapy can be extracted through a statistical evaluation with database compiled from quantitative sensor information.
Keywords :
cloud computing; database management systems; haptic interfaces; medical information systems; medical robotics; patient treatment; sensor fusion; signal processing; statistical analysis; Internet; aged people rehabilitation; haptic signal processing; information society; information technology; medical cloud technologies; physical therapy robots; quantitative sensor information; rehabilitation database; rehabilitation equipment; statistical evaluation; statistical processing; Databases; Force; Medical treatment; Muscles; Pneumatic systems; Robot sensing systems; biarticular muscle; haptics; movement therapy; physical therapy robot; pneumatic artificial muscle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanitarian Technology Conference (R10-HTC), 2013 IEEE Region 10
Conference_Location :
Sendai
Type :
conf
DOI :
10.1109/R10-HTC.2013.6669006
Filename :
6669006
Link To Document :
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