find_peaks.py

import json
import numpy as np
count = 0
indexlist = []
above12 = []

filename = "C:\\Users\jkho021\Projects\SPARC\mapclient\src\mapclient\ecgDataExtended2.json"
data = {}
with open(filename) as f:
    data['cache'] = json.load(f)

for i, val in enumerate(data['cache']['19']):
    if val > 12.05:
        indexlist.append(i)
        count += 1
        above12.append(val)
    else:
        above12.append(0)
dif = []
for i in range(0, len(indexlist) - 1):
    dif.append(indexlist[i + 1] - indexlist[i])

#
# for key in data['cache']:
#     dataedit[key] = data['cache'][key][1:12213]
#
# for key in data['cache']:
#     additionaldata[key] = data['cache'][key][8221:12213]

start = int((indexlist[1] - indexlist[0]) / 2 + indexlist[0])
additionalbeatstart = indexlist[15]
additionalbeatend = indexlist[17]
insertadditionalbeat = indexlist[17] + 1

additionalbeat = {}
for key in data['cache']:
    additionalbeat[key] = data['cache'][key][additionalbeatstart:additionalbeatend]

newdata = {}
for key in data['cache']:
    newdata[key] = data['cache'][key][start:indexlist[18]] + additionalbeat[key]

dataexport = {}
dataexport['values'] = newdata
dataexport['times'] = np.linspace(0,17,len(newdata['1'])).tolist()

with open('ecgDataFitted.json', 'w') as fp:
    json.dump(dataexport, fp)