Wireless body sensor network and ECG Android application for eHealth

Khalaf, Abdelbaset; Abdoola, Rishaad

doi:10.1109/icabme.2017.8167526

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…Compared with similar devices presented in the literature, our prototype has a lower power consumption than other Wi-Fi based systems [34,35] which is similar to results achieved by other systems using Bluetooth [13,[31][32][33] and ISM wireless communication [19,29].…”

Section: Discussionsupporting

confidence: 80%

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Arm-ECG Wireless Sensor System for Wearable Long-Term Surveillance of Heart Arrhythmias

2019

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This article presents the devising, development, prototyping and assessment of a wearable arm-ECG sensor system (WAMECG1) for long-term non-invasive heart rhythm monitoring, and functionalities for acquiring, storing, visualizing and transmitting high-quality far-field electrocardiographic signals. The system integrates the main building blocks present in a typical ECG monitoring device such as the skin surface electrodes, front-end amplifiers, analog and digital signal conditioning filters, flash memory and wireless communication capability. These are integrated into a comfortable, easy to wear, and ergonomically designed arm-band ECG sensor system which can acquire a bipolar ECG signal from the upper arm of the user over a period of 72 h. The small-amplitude bipolar arm-ECG signal is sensed by a reusable, long-lasting, Ag–AgCl based dry electrode pair, then digitized using a programmable sampling rate in the range of 125 to 500 Hz and transmitted via Wi-Fi. The prototype comparative performance assessment results showed a cross-correlation value of 99.7% and an error of less than 0.75% when compared to a reference high-resolution medical-grade ECG system. Also, the quality of the recorded far-field bipolar arm-ECG signal was validated in a pilot trial with volunteer subjects from within the research team, by wearing the prototype device while: (a) resting in a chair; and (b) doing minor physical activities. The R-peak detection average sensibilities were 99.66% and 94.64%, while the positive predictive values achieved 99.1% and 92.68%, respectively. Without using any additional algorithm for signal enhancement, the average signal-to-noise ratio (SNR) values were 21.71 and 18.25 for physical activity conditions (a) and (b) respectively. Therefore, the performance assessment results suggest that the wearable arm-band prototype device is a suitable, self-contained, unobtrusive platform for comfortable cardiac electrical activity and heart rhythm logging and monitoring.

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Section: Discussionsupporting

confidence: 80%

“…Furthermore, they require the installation of additional hardware, thus increasing costs and limiting the portability of the design. [34] Wi-Fi 260-275 mA 24 Mbps Khalaf and Abdoola [35] Wi-Fi 309 mA 1 Mbps…”

Section: Wireless Communication Technologymentioning

confidence: 99%

Arm-ECG Wireless Sensor System for Wearable Long-Term Surveillance of Heart Arrhythmias

2019

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“…Jadhav [4] merancang alat pemantauan kesehatan yang juga berbasis telepon pintar, namun parameter yang dipantau cukup kompleks, seperti tekanan darah, SpO2, detak jantung, EKG, suhu tubuh, laju nafas dan tingkat glukosa. Khalaf [5] merancang alat deteksi jantung menggunakan modul wifi Xbee S6B sebagai transmisi dengan menggunakan protokol 802.11.…”

Section: Pendahuluanunclassified

Rancang Bangun Pemantau Detak Jantung dan Suhu Tubuh Portabel Dengan Sistem IoT

Agustian

2019

j. amp. : j. ilm. bid. tek. elect. and comp.

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ABSTRAKPemeriksaaan detak jantung dan suhu tubuh dapat sangat membantu tenaga kesehatan untuk mendiagnosis kondisi kesehatan pasien. Untuk memudahkan tenaga kesehatan, maka dirancang alat pemantau detak jantung portabel dengan sistem IoT. Desain portabel ditujukan agar alat ini mudah dibawa, dan mudah digunakan oleh pasien yang sedang rawat jalan, sedangkan fungsi IoT, tenaga kesehatan dapat memantau kondisi pasien dari jarak jauh dan secara kontinyu. Detak jantung dideteksi menggunakan sensor ECG AD8232, dan suhu tubuh dideteksi menggunakan sensor DS18B20 terkoneksi ke mikrokontroler. Pengujian menunjukkan sensor ECG AD8232 dan sensor suhu DS18B20 sensor sangat layak digunakan. Sistem IoT yang dibangun dapat membantu tenaga kesehatan dan pasien untuk mendapatkan penanganan segera jika terjadi keaadan abnormal.Kata Kunci: pemantau detak jantung, pemantau suhu tubuh, sistem IoT kesehatan

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