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Electrocardiogram (ECG) is a biopotential signal which generated by electrical activity of the heart muscle cells. ECG is taken by placing electrodes at a certain point a person's body. This research propose a wearable ECG device. This device can be used to monitor athlete's heart condition. ECG device is designed in small size that can be put on t...
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Electrocardiograph is device for measuring electrical activity of heart.
Electrocardiograph displays electrocardiogram signal (ECG). For monitoring ECG,
at least need one ECG lead meanwhile for standard clinical ECG need 12 lead.
For realization of 12 lead ECG devices, it is need strategy to reduce number of
hardware to make dimension of ECG device...
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... Meanwhile, the disadvantage of using a single supply is that it cannot be used for a long time because it only uses battery power. Furthermore, ECG design using a Bi-polar supply is still being developed [8]- [14], such as the research that was conducted by Sugondo Hadiyoso et al, in designing a wearable ECG using the Einthoven triangle method using a bi-polar supply, where the research had a weakness in the presence of noise interference [15]. Low power is also used to design ECG instrumentation s using Bi-Polar system [16], [17]. ...
... However, because it only uses one battery, the performance of the ECG cannot be carried out for a long time. Meanwhile, another study that was carried out by Sugondo Hadiyoso et al, designed a wearable ECG using the Einthoven triangle method using a bi-polar supply, but the weakness in this study is the presence of noise interference [15]. ...
Heart performance is one of the vital signs that cannot be ignored and must be monitored periodically. In this case, the measuring range of the human heart rate is between 60-100 BPM, in which the measurement unit is expressed as Beat per Minute (BPM). Therefore, it is very important to use Electrocardiograph equipment to tap the electrical signals of the heart with correct readings and minimal interference such as frequency of electric lines and noise. The purpose of this study was to compare the instrumentation amplifier using a single supply with a bi-polar supply in the ECG design to select the best instrumentation amplifier, which is expected to contribute to other researchers in choosing the right type of instrumentation amplifier that is efficient and qualified. In this case, the research was carried out by comparing two single supply instrumentation amplifiers using the AD623 IC and the bi-polar supply using the AD620 IC, continued by the use of Fast Fourier Transform (FFT) to determine the frequency spectrum of the ECG signal. The test results further showed that the use of single power instrumentation could reduce more noise compared to the Bi-Polar instrumentation amplifier by strengthening 60 dB Low pass filter circuit. Meanwhile, the FFT results in finding the frequency spectrum explained that the FFT results on the ECG signal provided information that the ECG signal had a frequency range between 0.05 Hz and 100 Hz. When the frequency is more than 100 Hz, the frequency started to be suppressed and when the frequency is less than 100 Hz, the frequency is passed. This research could be further used as a reference by other researchers to determine which type of instrumentation amplifier is better.
... In this study, it has a drawback, namely the absence of a memory card for data storage, the advantage of this tool is that it is made portable and compact so that it can be carried and used at various times. [19][3] [20] [16]. In 2021, Rizki Aulia Rachman conducted a study about development of a low-cost and efficient ECG devices with IIR digital filter design. ...
... When the ECG signal is converted into an analog filter, it can be seen that the signal still contains noise but a little. When the ECG signal is converted into a digital filter, it can be seen that the signal results in less noise than the analog filter [24] [19]. In lead 3 shown in FIGURE 8, it can be seen that the signal from the ECG module still contains a lot of noise. ...
The electrocardiogram (ECG) of the human body is an important basis in heart function as well as the diagnosis of cardiovascular diseases, which has a very vital role in clinical diagnosis. Obtaining high-quality ECG signals with a portable remote ECG acquisition system is a big challenge given limited resources. According to the World Health Organization (WHO), disorders of the cardiovascular system still rank high, causing about 31% of deaths globally. This is because the symptoms of cardiovascular disease cannot be seen directly, but rather by conducting an electrocardiograph (ECG) examination. The purpose of this research is to record the electrical signals of the heart by comparing the 2nd order AD8232 module analogue filter with the 8th order Butterworth digital filter which is a better signal for easier reading. This research uses a multiplexer circuit for switching leads, AD8232 ECG module, 50Hz notch filter circuit, non-inverting amplifier, adder, Arduino Mega 2560, USB module, and an application to display digital signals, namely Delphi 7. Signal acquisition is done by monitoring for one minute. Data collection was carried out with 5 respondents 5 times on each lead. The results of the data collection can be concluded that 80% of digital filters display smoother signals for ECG signals than analogue filters
... In this project, focus on the realization of the small dimension and mobile ECG's hardware [12], then use Pan Tompkins algorithm to determine the QRS complex ECG, a real time arrhythmia detection on Andorid mobile and data validation. Contribution of this research is develop a mobile ECG device with easy connectivity to Android devices, research possibilities for Internet of Things (IoT) application and low cost ECG as alternative medical devices in developing countries. ...
... Hardware implementation is not discussed in this section, has been described in the previous publication [12]. This section focuses on creating Android applications programs. ...
the heart is a vital organ that needs to be monitored periodically by everyone, including athletes and heart patients. Heart condition of an athlete requires special attention to keep his/her stamina and performance, however monitoring the heart signal during athlete activity is challenge to be solved. In this research, we developed a mini wearable ECG device and real time arrhythmia detection based android mobile application. ECG signals acquired live by the ECG's analog front end and sent through a Bluetooth module to Android mobile devices. On Android application processed data analysis based Pan Tompkins algorithms to detect complex QRS ECG signal and heart beats. From the number of heart rate can be detected abnormalities. Upon completing the system, we tested the system using signals generated by Fluke PS400 and real data. There are three categories of abnormalities under study: brachycardia, tachycardia, and sinus arrhythmia. Normal heart signal is also included in the test. These experiments indicated accuracy of 98.4% for generated signals and 99.6% for real signal. The application itself need 2.09 MB of memory and can run under all smartphone running Android.
