Inspiration

we were inspired by finding ways improve the use of technology with respect to mental illness

What it does

it sends information to the doctor via email to give them a daily summary of the patient's heart rate and to the patient via phone message to inform them when their heart rate goes over 110bpm

How I built it

we used the fitbit and libraries to upload data from the fitbit onto python. Using this data we created plots and coded these plots to be sent as emails. We also included a way to send information about the peaks of the heart rate to the patient so they know when there is an issue

Challenges I ran into

it was difficult to find a way to code for the email being sent since we were advised to use HTML but we found that we could simply use python with added libraries

Accomplishments that I'm proud of

we were able to complete the code to send messages to the patient

What I learned

we learnt that there are many more ways to use python than we thought

What's next for fitbit_heart_rate

we are trying to send an email with a plot of the heart rate against time to the patient's doctor code: import fitbit import gather_keys_oauth2 as Oauth2 import pandas as pd import datetime import matplotlib.pyplot as plt import numpy import sendgrid import os from sendgrid.helpers.mail import *

CLIENT_ID = '22DLJB' CLIENT_SECRET = '8e3e02e9ff08e020b1a921667cbb7b3f'

server = Oauth2.OAuth2Server(CLIENT_ID, CLIENT_SECRET) server.browser_authorize()

ACCESS_TOKEN = str(server.fitbit.client.session.token['access_token']) REFRESH_TOKEN = str(server.fitbit.client.session.token['refresh_token'])

auth2_client = fitbit.Fitbit(CLIENT_ID, CLIENT_SECRET, oauth2=True, access_token=ACCESS_TOKEN, refresh_token=REFRESH_TOKEN)

yesterday = str((datetime.datetime.now() - datetime.timedelta(days=1)).strftime("%Y%m%d"))

yesterday2 = str((datetime.datetime.now() - datetime.timedelta(days=0)).strftime("%Y-%m-%d"))

today = str(datetime.datetime.now().strftime("%Y%m%d"))

fit_statsHR = auth2_client.intraday_time_series('activities/heart', base_date=yesterday2, detail_level='1sec')

fit_statsEX = auth2_client.intraday_time_series('activities/)

time_list = [] val_list = []

for i in fit_statsHR['activities-heart-intraday']['dataset']: val_list.append(i['value']) time_list.append(datetime.datetime.strptime(i['time'], '%H:%M:%S').time()) graphs = plt.plot(time_list,val_list)

plt.savefig('heart-rate.png') plt.ylabel('Heart Rate')

print(max(val_list)) if max(val_list) > 110 : client = nexmo.Client(key='2aa63187', secret='1yhUO6wgmjuMlQDb')

client.send_message({
        'from': 'Nexmo',
        'to': '447716339423',
        'text': 'Your Heart Rate Peaked Past 110 Today. Please consult your GP for more information.',
        })

sg = sendgrid.SendGridAPIClient(apikey = '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') from_email = Email("celineamadou@gmail.com") to_email = Email("camadou-douah1@sheffield.ac.uk") subject = "Patient's daily summary" content = Content("text/plain", "This is today's summary of the heart rate of your patient") mail = Mail(from_email, subject, to_email, content) response = sg.client.mail.send.post(request_body=mail.get()) png_path = 'python-fitbit-master' with open(png_path,'rb') as f: data = f.read() f.close()

encoded = base64.b64encode(data)

attachment = Attachment() attachment.set_content(png) attachment.set_type("application/png") attachment.set_filename("heart-rate.png") attachment.set_disposition("attachment")

print(response.status_code) print(response.body) print(response.headers)

Built With

• python