Off‐Body Communication Experimental Test

4 Figure . Received ECG signals that are displayed at the receiver for subject scenario . 3.2. Scenario 2 n scenario , the transmitting Tx and receiving Rx antennas are situated at the same as the scenario , however, subject and subject are separated in the different room at the th floor of the ‐storey concrete building. The rooms are separated by some acrylic bulkheads at ‐ m of the distance. This scenario is aimed to determine whether the proposed system can send the ECG signal across the obstacle. The transmitted ECG signal is wirelessly received by subject receiver as shown in Fig. . The result show that the ECG signals can be well received at the receiver. Figure . Received ECG signals that are displayed at the receiver for subject scenario . 3.3. Scenario 3 n scenario , the transmitting Tx and receiving Rx antennas are situated at the same as the scenario , but the room of subject is equipped by some microwave mesurement tools, from which some radiation disturbance may exist. This scenario is aimed to verify the signal distortion may occur to ECG data reading due to electromagnetic interference. As a result, the received ECG signals are still well received, as depicted in Fig. . 0. 1 1. 2 2. 0. 01 0. 21 0. 49 0. 77 1. 1. 3 1. 1. 9 2. 2 2. 2. 8 3. 1 3. 4 3. 7 4. 4. 3 4. Amp litud e mV Elapsed time s Received ECG Signal 0. 1 1. 2 0. 11 0.3 0.49 0.7 0.8 1.0 1.2 1.4 1. 1.8 2.0 2.2 2.4 2. 2.8 3.0 3.2 Amplit ude mV Elapsed time s Received ECG Signal 47 Figure . Received ECG signals that are displayed at the receiver for subject scenario . Table . Comparison Results between Lab Measurement and Clinical Test RR s PR s P s QRS s ST s Scenario .8 . . . . Scenario .88 . . . . Scenario .8 . . . . Clinical Test . . . . . When we analyze the ECG signal, it will be grouped into some interval wave, those are RR, PR, P, QRS, and ST wave time interval, which describe the electrical activity in human hearts. From Table , the interval has different value among scenarios. owever, if we are using the standard time interval, for RR time interval between . – . seconds, P time interval is . seconds, PR time interval . – . seconds, QRS time interval . seconds and ST time interval . seconds are still within the standard time interval. ence, the proposed monitoring system supposed to be used for medical diagnostic without giving the false information to the doctor. The delay exists due to the scattering and reflection phenomena when the transmitter send ECG signals. The amplitude fluctuation over time is caused by EM interference in . Gz band environment.

4. Conclusion

This paper has discussed the evaluation of the proposed patient ECG monitoring system to the off‐body communication link. Various off‐body link scenarios has been conducted and verified with clinical test results. The experimental results show that the developed system is able to transfer and display real time ECG signals up to approximately m of obstruction environment, which the measurement is conducted in a sitting position of volunteers. We have also validated the obtained ECG data, comparing to the data taken from the healthcare clinic equipment. Moreover, according to QRS wave analysis, our ECG signals have reasonable RR, PR, QRS and ST wave time interval comparing to the standard ECG signals. Acknowledgements This work is partly supported by ibah Riset RCBE‐FTU . The authors would like to thank to volunteers for evaluating our developed monitoring system. References 0. 1 1. 2 0. 18 0. 44 0. 9 0. 9 1. 22 1. 1.7 7 2. 2. 32 2. 2.8 7 3. 1 3. 42 3.7 3.9 4.2 Amp litud e mV Elapsed time s Received ECG Signal 48 Agung, M.A, Basari . ‐Lead Acquisition using Single Channel ECG Device Developed on AD8 Analog Front End for Wireless ECG Application. Proc. of the st ntl. Symp Biomedical Engineering, Depok, ndonesia. Bsoul, M., Minn, ., Tamil, L. . Apnea MedAssist: Real‐time Sleep Apnea Monitor Using Single‐Lead ECG. EEE Trans. nformation Technol. in Biomedicine, vol. , no. , pp. ‐ . Capua, C.D., Meduri, A., Morello, R. . A Smart ECG Measurement System Based on Web‐ Service‐Oriented Architecture for Telemedicine Applications. EEE Trans. nstrumentation and Meas., vol. , no. , Oct., pp. ‐ 8. Faezipour, M., Saeed, A., Bulusu, S.C., Nourani, M., Minn, ., Tami, L. . A Patient‐Adaptive Profiling Scheme for ECG Beat Classification. EEE Trans. nformation Technol. in Biomedicine, vol. , no. , pp. ‐ . Jing, Z., Oresko, J., uang, S., Cheng, A.C. . eart to Go: A Personalized Medicine Technology for Cardiovascular Disease Prevention and Detection. EEE Life Sciences System and Application Workshop LiSSA . Kailanto, ., yvarinen, E., yttinen, J. 8 . Mobile ECG Device Measurement and Analysis System Using Mobile Phone as the Base Station. Proc. of the nd ntl. Conf. Pervasive Computing Technol. for ealthcare.