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