DocumentCode :
1896785
Title :
Energy harvesting from human body for biomedical autonomous systems
Author :
Ben Amor, N. ; Kanoun, O. ; Lay-Ekuakille, A. ; Specchia, G. ; Vendramin, G. ; Trotta, A.
Author_Institution :
Nat. Eng. Sch. of Sfax (ENIS) ICOS, Univ. of Sfax, Sfax
fYear :
2008
fDate :
26-29 Oct. 2008
Firstpage :
678
Lastpage :
680
Abstract :
The aim of this paper is to illustrate the possibility of recovering electrical energy from human body with micro and macro movements. Micro movements are from breath while macro movements are from hands and/or foot. Their combination can represent, in terms of quantity, an interesting availability to supply biomedical autonomous apparatuses and devices. The choice of integrating these kinds of movements will help patients or persons to recover energy, e.g. from breath while they are seated. Consequently, a correct modeling is requested to optimize the energy converter for supplying the biomedical autonomous systems. In human beings, when each breath process is completed, the lung still contains a volume of air, called the functional residual capacity (approximately 2200 mL). The current research shows the usefulness of a correct modeling, hence a correct converter. The paper allows to determine the minimum mechanical energy necessary to get an interesting level of electrical energy.
Keywords :
bioelectric phenomena; bioenergy conversion; biomechanics; biomedical equipment; energy harvesting; pneumodynamics; power conversion; biomedical autonomous apparatuses; biomedical autonomous systems; breathing; electrical energy recovery; energy converter; energy harvesting; foot motion; hand motion; macro-movement; mechanical energy; micro-movements; Acceleration; Batteries; Biomedical engineering; Detectors; Foot; Humans; Legged locomotion; Mechanical energy; Testing; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensors, 2008 IEEE
Conference_Location :
Lecce
ISSN :
1930-0395
Print_ISBN :
978-1-4244-2580-8
Electronic_ISBN :
1930-0395
Type :
conf
DOI :
10.1109/ICSENS.2008.4716532
Filename :
4716532
Link To Document :
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