DocumentCode :
1651011
Title :
Optimization intensive energy harvesting
Author :
Rofouei, Mahsan ; Ghodrat, Mohammad Ali ; Potkonjak, Miodrag ; Martinez-Nova, Alfonso
Author_Institution :
Comput. Sci. Dept., Univ. of California, Los Angeles (UCLA), Los Angeles, CA, USA
fYear :
2012
Firstpage :
272
Lastpage :
275
Abstract :
Instrumented Medical Shoes (MSs) are equipped with a variety of sensors for measurement of quantities such as pressure, acceleration, and temperature which are often greatly beneficial in numerous diagnosis, monitoring, rehabilitation, and other medical tasks. One of primary limiting factors of MSs is their energy sensitivity. In order to overcome this limitation, we have developed an optimization intensive approach for energy harvesting. Our goal is to size and position a single piezoelectric transducer for energy generation in a medical shoe in such a way that maximal energy is collected and/or specified maximal voltage is achieved while collecting energy. We propose a scenario approach that provides statistically sound solution and evaluate our approach using our medical shoe simulator for subject specific energy harvesting and generic MS scavenging. We could get 3.7X energy gain compare to smallest size sensor and 1.3X energy gain compared to sensor with the size of a shoe.
Keywords :
biomedical equipment; energy harvesting; optimisation; piezoelectric transducers; MS scavenging; energy generation; energy harvesting; energy sensitivity; instrumented medical shoes; medical shoe simulator; optimization intensive approach; piezoelectric transducer; Batteries; Energy harvesting; Footwear; Generators; Medical diagnostic imaging; Optimization; Sensors; energy harvesting; medical shoes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012
Conference_Location :
Dresden
ISSN :
1530-1591
Print_ISBN :
978-1-4577-2145-8
Type :
conf
DOI :
10.1109/DATE.2012.6176476
Filename :
6176476
Link To Document :
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