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Abstract:The aim of this study was implementation of a wireless patch system that can predict a patient's body temperature. The proposed patch can predict the body temperature from the skin temperature and sweat rate by using a modified Pennes bio-heat transfer equation. The proposed patch was small and lights enough to be attached to the patient's skin, and a small skin temperature transducer was built-in the patch. Further, the sweat rate was measured by using humidity sensors while the sweat was evaporating. The proposed patch was compared with commercial body temperature measuring device, and the results were found to be correlated.

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Input for fully implantable hearing devices (FIHDs) is provided by an implantable microphone under the skin of the temporal bone. However, the implanted microphone can be affected when the FIHDs user chews. In this paper, a dual implantable microphone was designed that can filter out the noise from mastication. For the in vivo experiment, a fabricated microphone was implanted in a rabbit. Pure-tone sounds of 1 kHz through a standard speaker were applied to the rabbit, which was given food simultaneously. To evaluate noise reduction, the measured signals were processed using a MATLAB program based adaptive filter. To verify the proposed method, the correlation coefficients and signal to-noise ratio before and after signal processing were calculated. By comparing the results, signal-to-noise ratio and correlation coefficients are enhanced by 6.07dB and 0.529 respectively.