ECG module ad8232

3rd-party modules
#1

Hello everyone. Im stuck in my project. When im trying to gcc -0 compile heart.c and ad8232.h no errors but file compiles badly and cause this when i`m trying to make fbt fap.

#include <ad8232.h>
#include <time.h>

int main()
// Initialize the AD8232 and configure the gain and filtering settings
ad8232::init();
ad8232::setGain(64);
ad8232::setFilter(0.75);

while (true) {
// Read the electrical activity of the heart from the AD8232
int heart_activity = ad8232::read();

// Calculate the heart rate from the heart activity data
int heart_rate = calculateHeartRate(heart_activity);

// Display the heart rate on the Flipper Zero's screen
displayHeartRate(heart_rate);

// Wait for a moment before reading the heart rate again
sleep(1);

}

return 0;
}

Original code. My file ad8232 is empty.

Project on github - GitHub - sparkfun/AD8232_Heart_Rate_Monitor: AD8232 Heart Rate Monitor

Can someone help me with transfering software from adruino to flipper

photo_2022-12-25_16-08-55
photo_2022-12-25_16-08-551280×960 106 KB

photo_2022-12-16_18-32-42
photo_2022-12-16_18-32-421280×960 114 KB

3 Likes
#2

I can’t help with this problem but thank you for sharing and if you figure it out I would love to hear more.

1 Like
#3

This would be pretty epic

#4

Flipperscope app can be used to measure output signal from adb232

GND to pin 18
3.3v to pin 9
output to pin 16

time period : 1ms
measurement : capture

window is only 256 sample by default, so you may want to ADC_CONVERTED_DATA_BUFFER_SIZE to 4096 in scope_app_i.h , and recompile & upload
you will observe the measured data contain sine noise, which can be removed by postprocessing,

#5

postprocessing code, and some result
you can get the .dat file from the flipper app > options > experimental options > file manager
/ext/apps_data/flipperscope

import matplotlib.pyplot as plt
import pandas as pd 
import numpy as np
import struct

with open("./Q03.dat", "rb") as f:
    data = f.read()

y = [(float(x[0]) / 2500) * 2.5 for x in struct.iter_unpack("<H", data)]
x = np.arange(len(y))

n = len(y)
df_fft =  pd.Series(np.fft.fft(y, n=n), index= np.fft.fftfreq(n))
df_fft[(abs(df_fft.index)>0.045) & (0.065>abs(df_fft.index))]=0
df_result = np.fft.ifft(df_fft.values)
pd.Series(df_result).plot()

ekg

1 Like