2021
DOI: 10.3390/app11136032
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Minimum Representative Human Body Model Size Determination for Link Budget Calculation in Implanted Medical Devices

Abstract: In this work, the optimum homogeneous phantom size for an equivalent whole-body electromagnetic (EM) modeling is calculated. This will enable the simple characterization of plane wave EM attenuation and far-field link budgets in Active Medical Implant (AMI) applications in the core region of the body for Industrial, Scientific, Medical and MedRadio frequency bands. A computational analysis is done to determine the optimum size in which a minimum phantom size reliably represents a whole-body situation for the c… Show more

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Cited by 3 publications
(1 citation statement)
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“…However, if battery lifetime in implants is limited to some weeks or months due to the high energy demand of stimulation with respect to amplitude or stimulation frequency like in cochlear implants, wireless energy supply is desirable [ 107 ]. While electromagnetic inductive coupling has been established in cochlear implants, mid- or far-field coupling via radio frequency, ultrasound, or light are discussed as alternative methods [ 108 , 109 , 110 ]. They all include options of bi-directional data transmission to adapt the stimulation parameters in open- and closed-loop control and to send out data to a patient-worn user interface ( Figure 3 a).…”
Section: Challenges and Trendsmentioning
confidence: 99%
“…However, if battery lifetime in implants is limited to some weeks or months due to the high energy demand of stimulation with respect to amplitude or stimulation frequency like in cochlear implants, wireless energy supply is desirable [ 107 ]. While electromagnetic inductive coupling has been established in cochlear implants, mid- or far-field coupling via radio frequency, ultrasound, or light are discussed as alternative methods [ 108 , 109 , 110 ]. They all include options of bi-directional data transmission to adapt the stimulation parameters in open- and closed-loop control and to send out data to a patient-worn user interface ( Figure 3 a).…”
Section: Challenges and Trendsmentioning
confidence: 99%