This ppt is on pulse oximeter using raspberry pi.

1. IOT IN
HEALTH
CARE
PRIYABRATA SAHOO
SIDDHARTH PATNAIK
ADYASHA BEHERA

2. OUTLINES
1. INTRODUCTION
2.EXISTING SYSTEMS
3.DRAWBACKS
4.OUR OBJECTIVES
5.BLOCK DIAGRAM
6.WORKING OF SYSTEM
7.USE OF RASPBERRY PI 4
8.ADVANTAGES
9.DISADVANTAGES
10.PYTHON CODE
11.CONCLUSION

3. PULSE OXIMETER

8. RASPBERRY PI

9. PROGRAM
 sudo apt-get update
 sudo apt-get install build-essential python-dev python-smbus git
 cd ~
 git clone https://github.com/adafruit/Adafruit_Python_MCP3008.git
 cd Adafruit_Python_MCP3008
 sudo python setup.py install
 sudo apt-get update
 sudo apt-get install build-essential python-dev python-smbus git
 cd ~
 git clone https://github.com/adafruit/Adafruit_Python_MCP3008.git
 cd Adafruit_Python_MCP3008
 sudo python setup.py install

10.  import serial,time,csv,os
 import numpy as np
 import matplotlib.pyplot as plt
 from matplotlib import cm
 plt.style.use('ggplot')
 ## initialize serial port (ttyUSB0 or ttyACM0) at 115200 baud rate
 ser = serial.Serial('/dev/ttyUSB0',
 baudrate=115200)
 ## set filename and delete it if it already exists
 datafile_name = 'test_data.csv'
 if os.path.isfile(datafile_name):
 os.remove(datafile_name)

11.  all_data = []
 start_word = False
 while True:
 try:
 curr_line = ser.readline() # read line
 if start_word == False:
 if curr_line[0:-2]==b'MAX30102':
 start_word = True
 print("Program Start")
 continue
 else:
 continue
 all_data.append(curr_line) # append to data vector
 except KeyboardInterrupt:
 break
 print("Exited Loop")

12.  t_vec,ir_vec,red_vec = [],[],[]
 ir_prev,red_prev = 0.0,0.0
 for ii in range(3,len(all_data)):
 try:
 curr_data = (all_data[ii][0:-2]).decode("utf-8").split(',')
 except:
 continue

 if len(curr_data)==3:
 if abs((float(curr_data[1])-ir_prev)/float(curr_data[1]))>1.01 or
 abs((float(curr_data[2])-red_prev)/float(curr_data[2]))>1.01:
 continue

 t_vec.append(float(curr_data[0])/1000000.0)
 ir_vec.append(float(curr_data[1]))
 red_vec.append(float(curr_data[2]))
 ir_prev = float(curr_data[1])
 red_prev = float(curr_data[2])

13. ‘
with open(datafile_name,'a') as f:
 writer = csv.writer(f,delimiter=',')
 for t,x,y in zip(t_vec,ir_vec,red_vec):
 writer.writerow([t,x,y])

14.  fig = plt.figure(figsize=(12,8))
 ax1 = fig.add_subplot(111)
 ax1.set_xlabel('Time [s]',fontsize=24)
 ax1.set_ylabel('IR Amplitude',fontsize=24,color='#CE445D',labelpad=10)
 ax1.tick_params(axis='both',which='major',labelsize=16)
 plt1 = ax1.plot(t_vec,ir_vec,label='IR',color='#CE445D',linewidth=4)
 ax1_2 = plt.twinx()
 ax1_2.grid('off')
 ax1_2.set_ylabel('Red Amplitude',fontsize=24,color='#37A490',labelpad=10)
 ax1_2.tick_params(axis='y',which='major',labelsize=16)
 plt2 = ax1_2.plot(t_vec,red_vec,label='Red',color='#37A490',linewidth=4)
 lns = plt1+plt2
 labels = [l.get_label() for l in lns]
 ax1_2.legend(lns,labels,fontsize=16)
 plt.xlim([t_vec[0],t_vec[-1]])
 plt.tight_layout(pad=1.2)
 plt.savefig('max30102_python_example.png',dpi=300,facecolor=[252/255,252/255,252/255])
 plt.show()