Biomedical sensor ECG, PPG, and spO2 based on Arduino Which Result from Comparison with Portable

EasyChair Preprint no. 3719

Abstract

This research is aimed to design a new device as a breakthrough in medical technology using an error correction method with high precision. This method is applied to embrace the high precision of the ECG device. The newly designed device is compared to the existing portable device. The portable device is proposed in this research in which results in an error correction as an output of Arduino software. The sample needed is 15 people for men or women with age of 18-73 years old. The number of the sample doesn’t meet the requirement due to the Covid-19 pandemic situation. We can use a cheap sensor AD8232, Max30102, and pulse sensor based on heartbeat rate as a module with Arduino uno and pro mini for ECG and PPG graphs. The application pulse sensor like Max30102 for commonly made together within Heart Rate and saturation oxygen, mostly used in hospitals. We need an Arduino software to operate this program and Arduino uno or pro mini as an MCU with an ECG module sensor integrated with FTDI using PCB. For PPG sensor Arduino uno and 2 module sensors are used. PCB is connected by a jumper between pin FTDI and Arduino Pro mini. Arduino pro mini and AD8232 are fixed to PCB that uses a female header. The header requires to be soldered with the wires. The electrode patch single lead sensor AD8232 attach in 3 points that are known as the Einthoven triangle. PPG sensor had fixed PCB and use a jumper for connection between pin Arduino and module pulse

Keyphrases: Arduino uno and pro mini, ECG (Electrocardiograph) and PPG (Photoplethysmograph) device, Einthoven Triangle, Electrode patch, error correction, FTDI device Max30102, PCB, portable device, Single Lead Sensor AD8232, the electrical activity of heart

@Booklet{EasyChair:3719,
  author = {Denny Tri Harjono and Agus Santoso Tamsir},
  title = {Biomedical sensor ECG, PPG, and spO2 based on Arduino Which Result from Comparison with Portable},
  howpublished = {EasyChair Preprint no. 3719},

  year = {EasyChair, 2020}}