Publication detail

A study of kinetic energy harvesting for biomedical application in the head area

SMILEK, J. HADAŠ, Z.

Original Title

A study of kinetic energy harvesting for biomedical application in the head area

English Title

A study of kinetic energy harvesting for biomedical application in the head area

Type

journal article in Web of Science

Language

en

Original Abstract

This paper is focused on determining a suitability of using a kinetic energy harvester placed in the area of the human head for supplying power to a new generation of cochlear implants. Placement-dependant volumetric and mass constraints of the harvester are discussed, and the requirements for its power output are set based on the power demands on the state-of-the-art cochlear implants. Measured acceleration data for different activities are presented together with a statistics of a random user behaviour during the course of 10 months. Nonlinear simulation model based on CAD geometry and FEM analyses is developed and its parameters are optimized using the sensitivity analysis in order to generate the maximum power. Real life acceleration data are then employed to feed the input of the simulation model of energy harvester to predict the obtainable power output. The feasibility of employing the energy harvesting to power the selected biomedical application is discussed based on simulation results.

English abstract

This paper is focused on determining a suitability of using a kinetic energy harvester placed in the area of the human head for supplying power to a new generation of cochlear implants. Placement-dependant volumetric and mass constraints of the harvester are discussed, and the requirements for its power output are set based on the power demands on the state-of-the-art cochlear implants. Measured acceleration data for different activities are presented together with a statistics of a random user behaviour during the course of 10 months. Nonlinear simulation model based on CAD geometry and FEM analyses is developed and its parameters are optimized using the sensitivity analysis in order to generate the maximum power. Real life acceleration data are then employed to feed the input of the simulation model of energy harvester to predict the obtainable power output. The feasibility of employing the energy harvesting to power the selected biomedical application is discussed based on simulation results.

Keywords

energy harvesting, human motion, biomedical application, cochlear implant, simulation

Released

08.07.2016

Publisher

Springer

Location

Berlín, Německo

ISBN

0946-7076

Periodical

Microsystem Technologies

Year of study

22

Number

7

State

DE

Pages from

1535

Pages to

1547

Pages count

13

Documents

BibTex


@article{BUT119178,
  author="Jan {Smilek} and Zdeněk {Hadaš}",
  title="A study of kinetic energy harvesting for biomedical application in the head area",
  annote="This paper is focused on determining a suitability of using a kinetic energy harvester placed in the area of the human head for supplying power to a new generation of cochlear implants. Placement-dependant volumetric and mass constraints of the harvester are discussed, and the requirements for its power output are set based on the power demands on the state-of-the-art cochlear implants. Measured acceleration data for different activities are presented together with a statistics of a random user behaviour during the course of 10 months. Nonlinear simulation model based on CAD geometry and FEM analyses is developed and its parameters are optimized using the sensitivity analysis in order to generate the maximum power. Real life acceleration data are then employed to feed the input of the simulation model of energy harvester to predict the obtainable power output. The feasibility of employing the energy harvesting to power the selected biomedical application is discussed based on simulation results.",
  address="Springer",
  chapter="119178",
  doi="10.1007/s00542-015-2766-2",
  howpublished="print",
  institution="Springer",
  number="7",
  volume="22",
  year="2016",
  month="july",
  pages="1535--1547",
  publisher="Springer",
  type="journal article in Web of Science"
}