ABOUT
Setup ThingSpeak to upload Patient Data online
Configuring IFTTT for triggering Mail/SMS based on ThingSpeak Values
ThingHTTP for connecting ThingSpeak with IFTTT

Published April 25, 2019 © GPL3+

Smart Emergency and Health Assistive Tool

An IoT enabled solution to monitor patient health and inform relatives in case of emergency.

IntermediateFull instructions provided4 hours4,633

Smart Emergency and Health Assistive Tool

Things used in this project

Hardware components

Texas Instruments MSP-EXP430F5529LP MSP430 LaunchPad

Texas Instruments CC3100BOOST SimpleLink CC3100 Wi-Fi BoosterPack

Texas Instruments LM35

Pulse rate Sensor

DFRobot Gravity:Digital Push Button (Yellow)

Alphanumeric LCD, 16 x 2

Software apps and online services

ThingSpeak API

IFTTT Maker service

Texas Instruments Energia

Google Sheets

Hand tools and fabrication machines

3D Printer (generic)

Story

ABOUT:

Health monitoring is the major problem in today’s world. Due to lack of proper health monitoring, patient suffer from serious health issues. There are lots of IoT devices nowadays to monitor the health of patient over the internet.

Our project will record the patient heartbeat rate and body temperature and also send an email/SMS alert whenever those readings go beyond critical values. Pulse rate and body temperature readings are recorded over ThingSpeak and Google sheets so that patient health can be monitored from anywhere in the world over the internet. This will help the children who are living far from parents and they want to monitor their health status in real-time. A panic button will also be attached so that the patient can press it on emergency to send email/SMS to their relatives.

Setup ThingSpeak to upload Patient Data online

ThingSpeak provides a very good tool for IoT based projects. By using ThingSpeak site, we can monitor our data and control our system over the Internet, using the Channels and webpages provided by ThingSpeak.ThingSpeak ‘Collects’ the data from the sensors, ‘Analyze and Visualize’ the data and ‘Acts’ by triggering action.

We will use ThingSpeak to monitor patient heartbeat and temperature online using internet. We will also use IFTTTplatform to connectThingSpeak to email/message service so that an alert message can be sent whenever the patient is in critical state.

Step 1:- First of all, user needs to Create an Account on ThingSpeak.com, then Sign In and click on Get Started.

Step 2:- Now go to the ‘Channels’ menu and click on New Channel option on the same page for further process.

Step 3:- Now you will see a form for creating the channel, fill in the Name and Description as per your choice. Then fill ‘Pulse Rate’, ‘Temperature’ and ‘Panic’ in Field 1, Field 2 and Field 3 labels, tick the check boxes for the Fields. Also tick the check box for ‘Make Public’ option below in the form and finally Save the Channel. Now your new channel has been created.

Step 4:- You will see three charts as shown below. Note the Write API key, we will use this key in our code.

Step 5:- Now, we will use ThingHTTP app of the server to trigger the IFTTT applet for data entry to Google sheets and send email/sms. ThingHTTP enables communication among devices, websites, and web services without having to implement the protocol on the device level. You can specify actions in ThingHTTP, which you want to trigger using other ThingSpeak apps such as React.

To make New ThingHTTP, we will need URL for triggering which we will get from IFTTT.

Configuring IFTTT for triggering Mail/SMS based on ThingSpeak Values

Step 1:- Login to IFTTT and search for Webhooks and click on it.

Step 2:- Click on Documentation.

Step 3:- Type “Patient_Info” in the event box and copy the URL. We will use this URL in ThingHTTP.

Now let’s make Applet to link ThingHTTP to Google sheet and to send email/sms. After that we will jump to complete our ThingHTTP.

Step 4:- Click on New Applete in My Applete option.

Step 5:- Click on “+this” and search for Webhooks and click on it. Choose trigger as “Receive a web request”.

Step 6:- Type the Event Name which is same as you write in the event box in webhooks URL. Click on Create Trigger.

Step 7:- Click on “+that” and search for Google Sheets and click on it.

Click on Add row to spreadsheet.

Step 8:- Give any name to your sheet. In formatted row box, you have date and time, event name, BPM value and body temperature which will be written as shown.

Step 9:- Review your applet and click on finish.

In the same way, we have to make applet for sending email when Panic event is occurred.

So again click on “+this” and select Webhooks, then in event name enter “Panic”. In “+that” search for Gmail and click on it.

Now, click on Send an email.

Type the email addresses on which you wish to receive email when there is a panic to the patient.

Type the body content you wish to send in the email and click on create action. Review it and finish.

We have made our applets to perform the tasks. Now, come back to Thingspeak->Apps->ThingHTTP.

ThingHTTP for connecting ThingSpeak with IFTTT

Step 1:- Click on New ThingHTTP. Give any name and Paste the URL that you copied from the webhooks documentation. Fill Remaining information as shown below.

In Body, we have to write the information that we want to send to the IFTTT applet. We are sending patient Pulse reading and temperature. So the format is

{ "value1" : "%%channel_channelID_field_fieldNumber%%","value2" : "%%channel_channelID_field_fieldNumber%%"}

After filling these informations, click on Save ThingHTTP.

In the same manner, we have to make ThingHTTP for “Panic”. Follow the same steps.

In URL, write Panic in place of Patient_Info. Body remains empty and All other information are same as in previous ThingHTTP. Save it.

Now, we have to make React to trigger the URL.

React works with ThingHTTP app to perform actions when channel data meets a certain condition.

To make React, click on Apps -> React. Click on New React.

Step 2:- Give name to your React. Condition type as Numeric and Test Freaquency as on Data Insertion.

Choose the Condition on which you want to trigger the URL. Select your channel from the If Channel drop down menu. Choose field 1 i.e Pulse rate and make condition of greater than any value. I have used 60. As shown

Choose ThingHTTP from Action drop down menu and select the ThingHTTP.

Select “Run action each time condition is met” and click on Save React.

In the same way, make React for the Panic as shown.

Select “Run action each time condition is met” and click on Save React.

Circuit Connections

Connect the CC3100 Wi-Fi shield on top of the MSP430.

Connect temperature sensor and Pulse rate sensor sensor to analog pins of MSP430.

Upload the code to the MSP430. Open Serial monitor in Energia IDE to see what’s going inside the code.

You will see data is updated defined in the Google sheets on Google drive, after the interval you defined in the timer setting.

Press panic button for 4-5 seconds, you will get email that patient is in problem, like shown below:

Note: We are also trying to add a fall detection mechanism in this wearable device.

Video

Energia code for MSP430

#ifndef __CC3100R1M1RGC__
// Do not include SPI for CC3200 LaunchPad
#include <SPI.h>
#endif
#include <WiFi.h>
#include <LiquidCrystal.h>

// initialize the library with the numbers of the interface pins
LiquidCrystal lcd(P4_1, P4_2, P3_5, P3_6, P7_0, P6_4);
String apiWritekey = "your API key";                    // replace with your THINGSPEAK WRITEAPI key here
char ssid[] = "awesome"; // your wifi SSID name
char password[] = "awesome12" ;// wifi pasword

char server[] = "api.thingspeak.com";
int val;
int tempPin = P6_5;
float farh;
int Pulse = P6_6;        // Pulse Sensor PURPLE WIRE connected to ANALOG PIN 0
//int LED13 = P1_0;   //  The on-board Arduion LED
int BPM;
int Signal;                // holds the incoming raw data. Signal value can range from 0-1024
int Threshold = 3150;            // Determine which Signal to "count as a beat", and which to ingore.
int button = P1_1;

WiFiClient client;
 
void setup() {
  Serial.begin(115200);
   lcd.begin(16, 2);
   lcd.setCursor(0, 0);
   lcd.print("Patient Monitor");
   delay(2000);
  WiFi.disconnect();
  delay(10);
  WiFi.begin(ssid, password);
 
  Serial.println();
  Serial.println();
  Serial.print("Connecting to ");
  Serial.println(ssid);
 
  WiFi.begin(ssid, password);
 
  while (WiFi.status() != WL_CONNECTED) {
    delay(500);
    Serial.print(".");
  }
   lcd.clear();
  lcd.print("connected");
   delay(1000);
//  Serial.println("");
//  Serial.print("connected to wifi...");
//  Serial.println(ssid);
//  Serial.println();
  // pinMode(P1_0, OUTPUT);
   pinMode(P1_1, INPUT_PULLUP); /* Interrupt pin */
   lcd.clear();
 // attachInterrupt(P2_1, tempr, CHANGE);
}
 
void loop() {
 lcd.clear();
  lcd.print("Press Panic butn");
   lcd.setCursor(0, 1);
   lcd.print("in emergency");
   delay(2000);
    lcd.clear();
  val = analogRead(tempPin);
float mv = ( val/4096.0)*5000; 
float cel = mv/10;
float farh = (cel*9)/5 + 32;

 Signal = analogRead(Pulse);  // Read the PulseSensor's value.
BPM = Signal/44;
 lcd.setCursor(0, 0);
  lcd.print("Temp. : ");
 lcd.print(farh);
  lcd.setCursor(0, 1);
  lcd.print("BPM : ");
 lcd.print(BPM);
 //Serial.println(BPM);
// 
//Serial.println("bpm=");  
//Serial.println(BPM);  

if (digitalRead(button) == LOW ){
  lcd.clear();
  lcd.setCursor(0, 0);
  lcd.print("msg sent");
  int action = 1;
   if (client.connect(server,80))
  {  
    String tsData = apiWritekey;
           tsData +="&field3=";
           tsData += String(action);
           tsData += "\r\n\r\n";
 
     client.print("POST /update HTTP/1.1\n");
     client.print("Host: api.thingspeak.com\n");
     client.print("Connection: close\n");
     client.print("X-THINGSPEAKAPIKEY: "+apiWritekey+"\n");
     client.print("Content-Type: application/x-www-form-urlencoded\n");
     client.print("Content-Length: ");
     client.print(tsData.length());
     client.print("\n\n");  // the 2 carriage returns indicate closing of Header fields & starting of data
     client.print(tsData);
     Serial.println("uploaded to Thingspeak server....");
  }
  client.stop();
  
  }
  delay(2000);
 if (client.connect(server,80))
  {  
    String tsData = apiWritekey;
           tsData +="&field1=";
           tsData += String(farh);
           tsData +="&field2=";
           tsData += String(BPM);
          // tsData += "\r\n\r\n";
 
     client.print("POST /update HTTP/1.1\n");
     client.print("Host: api.thingspeak.com\n");
     client.print("Connection: close\n");
     client.print("X-THINGSPEAKAPIKEY: "+apiWritekey+"\n");
     client.print("Content-Type: application/x-www-form-urlencoded\n");
     client.print("Content-Length: ");
     client.print(tsData.length());
     client.print("\n\n");  // the 2 carriage returns indicate closing of Header fields & starting of data
     client.print(tsData);
     Serial.println("uploaded to Thingspeak server....");
  }
  client.stop();
//  Serial.println("Waiting to upload next reading...");
//  Serial.println();
 lcd.clear();
  lcd.setCursor(0, 0);
  lcd.print("data uploaded>>");
  delay(10000);
  }