DESIGN OF PORTABLE BLUETOOTH LOW ENERGY (BLE) BASED 6-LEAD ECG ACQUISITION DEVICE
Cardiovascular Disease (CVD) is currently the highest death contributor due to Non-Communicable Diseases at 35% of total NCD deaths in Indonesia. The recent COVID-19 pandemic that hit Indonesia in early 2020 has shown that hospitals may overload bed capacity and risk contracting COVID. This situa...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/65919 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Cardiovascular Disease (CVD) is currently the highest death contributor due to
Non-Communicable Diseases at 35% of total NCD deaths in Indonesia. The recent
COVID-19 pandemic that hit Indonesia in early 2020 has shown that hospitals may
overload bed capacity and risk contracting COVID. This situation drives most
cardiovascular patients to rely on home care and possibly a telemedicine system
that utilizes an online consultation method without meeting directly in person. The
use of telemedicine as an alternative in monitoring cardiovascular disease patients
drives the need for a portable electrocardiogram (ECG) device to provide heart
activity-related data for patients and doctors. The device should be able to provide
accurate results and transmit the data wirelessly to an external processing device
that the user can access.
In this paper, a portable Bluetooth Low Energy (BLE) based 6-Lead ECG
acquisition device is designed and implemented to fulfill the need. The ECG
acquisition device can transmit lead I, lead II, and heart rate data processed with
a modified Pan-Tompkins-based algorithm to external devices in 20 bytes strings
via BLE connection. The proposed ECG processing algorithm will feature R-wave
peak detection with a modified Pan-Tompkins algorithm using exponential
smoothing as LPF, fixed thresholding, and slope detection. The results show that
the design of the ECG acquisition device produces proper 6-Lead ECG graphs with
accurate heart rate measurements with a 0.1% mean absolute percentage error
(MAPE) and 0.26% root mean square percentage error (RMSPE) compared to an
ECG calibration device. The end product is also proven to be portable and wireless. |
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