Abstract

BackgroundIntra-Body Communication (IBC), which utilizes the human body as the transmission medium to transmit signal, is a potential communication technique for the physiological data transfer among the sensors of remote healthcare monitoring system, in which the doctors are permitted to remotely access the healthcare data without interrupt to the patients’ daily activities.MethodsThis work investigates the effects of human limb gestures including various joint angles, hand gripping force and loading on galvanic coupling IBC channel. The experiment results show that channel gain is significantly influenced by the joint angle (i.e. gain variation 1.09–11.70 dB, p < 0.014). The extension, as well as the appearance of joint in IBC channel increases the channel attenuation. While the other gestures and muscle fatigue have negligible effect (gain variation <0.77 dB, p > 0.793) on IBC channel. Moreover, the change of joint angle on human limb IBC channel causes significant variation in bit error rate (BER) performance.ConclusionsThe results reveal the dynamic behavior of galvanic coupling IBC channel, and provide suggestions for practical IBC system design.

Highlights

  • Intra-Body Communication (IBC), which utilizes the human body as the transmission medium to transmit signal, is a potential communication technique for the physiological data transfer among the sensors of remote healthcare monitoring system, in which the doctors are permitted to remotely access the healthcare data without interrupt to the patients’ daily activities

  • The frequency response of galvanic coupling IBC channel affected by joint angle and muscle fatigue is depicted

  • Effects of joint angle The gain and phase on upper and lower extremity channels affected by joint angle are shown in Figs. 4 and 5, respectively

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Summary

Introduction

Intra-Body Communication (IBC), which utilizes the human body as the transmission medium to transmit signal, is a potential communication technique for the physiological data transfer among the sensors of remote healthcare monitoring system, in which the doctors are permitted to remotely access the healthcare data without interrupt to the patients’ daily activities. Methods: This work investigates the effects of human limb gestures including various joint angles, hand gripping force and loading on galvanic coupling IBC channel. The change of joint angle on human limb IBC channel causes significant variation in bit error rate (BER) performance. 6], and it avoids signal leakage from eavesdropping and the interference to other devices It avoids interference from existing wireless techniques due to its low transmission frequency

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