Prototype low-cost portable electrocardiogram (ECG) based on Arduino-Uno with Bluetooth feature

Iskandar, William Jerrel; Roihan, Ibnu; Koestoer, Raldi Artono

doi:10.1063/1.5139392

Cited by 24 publications

(20 citation statements)

References 3 publications

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“…[8][9][10][11] Recent work has demonstrated the possibility of a low-cost Arduino-based EKG using Bluetooth, which could be beneficial in underdeveloped communities. 12 Our initiative allows students to analyze and graph EKG data on their own computers using Matlab. Safety is a concern with all student-built circuits.…”

Section: Novel Initiative: Do-it-yourself Electrocardiogram (Diy Ekg)...mentioning

confidence: 99%

The Do-It-Yourself Electrocardiogram

Haase

O’Hara

Maybhate

2022

Biomed Eng Education

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Hands-on labs are a critical component of biomedical engineering undergraduate education. Due to both the pandemic and the growing interest in online education, we developed a Do-it-yourself Electrocardiogram (DIY EKG) project. The Arduino-based DIY EKG kit instructed students how to build a circuit to obtain their own EKG and then analyze their EKG data using Matlab. Despite the obstacles of virtually trouble-shooting, 85.4% of students ( n = 103) were able to obtain their own EKG at home. We have provided the labelled circuit drawings, step-by-step instructions, Matlab files, and results in this paper. Survey results indicate that 89% of students felt the DIY EKG project was a “challenging yet fulfilling experience.” Supplementary Information The online version of this article contains supplementary material available 10.1007/s43683-021-00061-0.

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Section: Novel Initiative: Do-it-yourself Electrocardiogram (Diy Ekg)...mentioning

confidence: 99%

The Do-It-Yourself Electrocardiogram

Haase

O’Hara

Maybhate

2022

Biomed Eng Education

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“…Electrocardiogram (ECG) is a technique used to measure the electrical activity produced by the heart during a diastole and systole(relaxation and contraction). ECG is a reliable method to measure the heart rate variability and beats per minute (BPM) [27]. For convenient use, a 3 electrode system is used.…”

Section: B Electrocardiogram (Ecg) Acquisition Unit For Heart Ratementioning

confidence: 99%

MyWear: A Novel Smart Garment for Automatic Continuous Vital Monitoring

Sethuraman

Kompally

Mohanty

et al. 2021

IEEE Trans. Consumer Electron.

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Wearables are getting large acceptance in the continuous monitoring of health status and physiological data. Medical devices and their connectivity through Internet along with the electronics health record (EHR) and AI analytics making smart healthcare possible. Internet-of-Medical-Things (IoMT)-end devices like wearables and implantables are key for smart healthcare. Smart garment is a specific wearable which can be used for smart healthcare. This paper presents the design and development of a smart garment called MyWear that continuously monitors and collects physiological data. It can analyze muscle activity, stress levels, and heart rate variations and send all the data to the cloud. Through abnormal variations in vitals, it can also predict the risk of heart failure and with the in-built alert system, it can notify the associated medical officials if necessary. We also propose a deep neural network model that classifies heartbeat data into abnormalities with 96.9% accuracy and 97.3% precision.

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“…Penelitian ini hanya menghitung denyut jantung per menit dan belum terlihat gelombang dominan sesuai morfologi denyut jantung. Penelitian [9] membuat EKG menggunakan 3 elektroda lead, modul AD8232, Arduino uno dan melewati modul Bluetooth untuk mengirimkan sinyal ke sebuah smartphone selain ke LCD TFT [10]. Tampilan grafik EKG pada layar komputer dikirimkan melalui WiFi sehingga pasien dapat bergerak bila diperlukan.…”

Section: Pendahuluanunclassified

Prototipe Elektrokardiograf Tiga Lead Berbasis Komputer Jinjing

Putra

Prawiroredjo

Candra

et al. 2021

TELKA

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Penyakit jantung masih menjadi ancaman di Indonesia, menurut Kementerian Kesehatan, pada tahun 2014 penyakit jantung koroner (PJK) merupakan penyebab kematian tertinggi setelah stroke. Persentase terbesar penyakit kardiovaskuler adalah pada gangguan irama jantung. Instrumentasi medik elektrokardiograf (EKG) digunakan untuk mendeteksi sinyal biopotensial yang dihasilkan jantung sehingga dapat didiagnosis oleh dokter spesialis jantung. Penelitian ini mengusulkan sebuah prototipe sistem rekam jantung EKG yang ekonomis, dengan memanfaatkan suatu program aplikasi menggunakan bahasa pemrograman C Sharp. Sistem menggunakan 3 buah surface electrodes, modul AD8232, dan modul Arduino Uno sebagai komponen pembentuk instrument elektrokardiograf. Surface electrodes berfungsi menangkap sinyal aktivitas listrik pada jantung yang dikondisikan oleh modul AD8232 dan diubah menjadi sinyal digital pada Arduino. Tampilan pada layar komputer memperlihatkan jumlah denyut jantung per menit (BPM) dan grafik gelombang EKG yang dapat dibaca nilai amplitudo dan lebar waktu gelombangnya. Berdasarkan hasil perbandingan pengujian antara prototype EKG terhadap Portable Easy ECG Monitor PC-08B didapati kesalahan rata-rata parameter gelombang jantung yaitu pada denyut jantung per menit 1,19%, pada interval R-R 2.44%, pada interval P-R 2,05 %, pada interval Q-T 1,16 %, pada interval waktu gelombang P 2,58 %, pada interval waktu gelombang QRS 2,07 %, pada interval waktu gelombang T 3,26 %, pada nilai amplitudo QRS 3,40 %, pada nilai amplitudo gelombang P 4 %, dan pada nilai amplitudo gelombang T 4,10 %. Heart disease was a threat in Indonesia, according to the Ministry of Health in 2014 coronary heart disease (CHD) was the highest cause of death after stroke. The largest percentage of cardiovascular disease was in heart rhythm disorders. Electrocardiograph (ECG) was used to detect biopotential signals generated by the heart. This research proposed a low cost electrocardiograph (ECG) prototype by utilizing an application using C Sharp. The system consisted of three surface electrodes, an AD8232 module, and an Arduino Uno module. Surface electrodes detected the electrical activity signal from the heart that was conditioned using AD8232 module and converted to digital signal in Arduino Uno. The bit per minute (BPM) of the heart and the ECG graph are displayed on the laptop screen with graticule to measure the amplitude and the width of the wave. Based on the test results of the ECG prototype compare to the Portable Easy ECG Monitor PC-08B, it is found that the average error of heartbeat per minute is 1.19 %, the R-R time interval is 2.44 %, the P-R time interval is 2.05 %, the Q-T time interval is 1.16 %, the P wave time interval is 2.58 %, the QRS time interval is 2.07 %, T wave time interval is 3.26 %, the QRS amplitude is 3.40 %, the P amplitude is 4 %, and the T amplitude is 4.10 %.

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Prototype low-cost portable electrocardiogram (ECG) based on Arduino-Uno with Bluetooth feature

Cited by 24 publications

References 3 publications

The Do-It-Yourself Electrocardiogram

The Do-It-Yourself Electrocardiogram

MyWear: A Novel Smart Garment for Automatic Continuous Vital Monitoring

Prototipe Elektrokardiograf Tiga Lead Berbasis Komputer Jinjing

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