In a modern, developing and ever-evolving world that we live in today, has had with it many hazardous situations for the ones who are working day and night tirelessly in their lives.
We know that the people who fall in previous category who work tirelessly to earn money usually don’t get the time to relax and/or workout, have a long walk during their job hours or business hours. They usually have a desk job in which they have to sit and work continuously. In India, almost 59% of the working population, including 91% of millennials, are estimated to be “suffering from cardiac & mental stress and depression in their lives”.
The other plaguing issue in the country is “Obesity”. The Obese individuals require more blood to supply Oxygen(O2) and nutrients to their bodies which causes an increase in blood pressure. High Blood Pressure is also a common cause of Heart Attack which are more common for Obese individuals. In India, more than 135 Million people were affected by obesity and around 36.3% were affected by abdominal obesity which is one of the major risk factors for Cardio-Vascular Diseases (CVDs).
With rapid development in technology related to Biomedical Monitoring devices, recording of various medical parameters of patients outside hospitals has become a widespread phenomenon. People are keen to get themselves tested for a full-body scan half-yearly or annually.
The reason behind this project is to develop a system for monitoring the patient’s body at any time using the monitoring system and good internet connectivity.
The function of this system will be to measure some biological parameter of the patient’s body by using sensors and send the values to IOT Cloud platform through Wi-Fi Module.
All information about the patient health will be stored on the cloud, it enables the doctors to monitor patient’s health, where the doctor can continuously monitor the patient’s condition on his Smart phone.
INTRODUCTIONEnhancing those exists of patients particularly in the weaker parts of the particular social order which incorporate those elderly, physically also rationally handicapped and additionally the chronically sick patients may be the main consideration will make progressed. On existing system, that information is recorded in the manifestation from claiming paperwork or looking into general stockpiling server.
However by and large that information will be approachable on every last one of staff furthermore doctors. Subsequently we need aid proposing another route the place tolerant What's more doctors fit to correspond through versatile requisition furthermore web requisition. To doctor's facilities there need aid procurements to nonstop screening from claiming patients. Their heartbeats need aid ceaselessly monitored.
There may be no procurement on check those parameters the point when they exchange will home. What's more consequently there is an opportunity that the ailment might come back once more. Patient-Health’s information (high-temperature, Cardiac frequency, position) will be every now and again measured and transmitted through net-server. Time about sending (say each 3 min) could a chance to be situated. Checking individual takes in tolerant particular edge. Approximately the standard body-temperature of a tolerant is 37℃ while lone persnickety senses hot in as much body temperature is 37˚C. By utilizing an averaging technobabble in a moderately long time, eyewitness could take these thresholds for patients. Utilizing same provision previously, doctor’s advanced mobile phone, specialist might perspective as much patient’s wellbeing status. At any of the parameter dives past the edge esteem he will get a caution notice.
PROBLEM STATEMENTA regular person is more focused on earning for their family and ignores regular exercise required to stay fit and healthy.
The guideline provided to any cardiac disease patient is to go for regular Check-ups, exercise regularly eat healthy and follow up on their medicines regularly without fail. We are focusing on the previous part of the guideline which is to regularly go for check-ups.
If any individual is confirmed of a heart disease occurrence then they only once or twice in a month go to visit their Doctors, try to save money for medicines rather then pay bills of a hospital check-up.
After studying about this, we thought of working on this domain by developing a Real time-multisensory cardiac monitoring system.
Our idea is to :
- Monitor the heartrate of user through the Heart-rate sensor,
- Measure Blood pressure and bodily temperature with their sensors respectively,
- Transfer the acquired data in real time by NodeMCU Wi-Fi module to analyze them and,
- display the data on a screen device or to the doctor.
There is still a young and upcoming market internationally for health measuring devices. The fact that there is “No standard procedure” recommended for measuring heart-rate and B.P. level by reputed researching institutions except the medically used standard ECG machine. Therefore, manufacturers are just trying to one up each other by adding fancy facilities that might be illusional to provide health benefits to the users in Band wearables like-
- Step counting,
- Calorie tracking,
- Weight Reduction or Gain strategy,
- Exercise tracking,
- Water drinking reminder
Typically, a blood-health wearable measures a combination of vital signs including the heart rate, blood pressure, blood oxygen and breathing rate.
An upgrade to our current project would be to add a machine learning module to this system and taking the data in conjunction to that of the heart rate sensors to provide an even more accuracy to the data with training the machine by feeding data from previous results on health of the user.
We would also like to make our system Precise, Accurate and less prone to error since the data is of far much importance because of it being a chronic disease.
We can also work on reducing the size of our project to make it more compact and portable to make it easy to carry.
HARDWARE IMPLEMENTATION
The AVR-IoT WG development board combines a powerful ATmega4808 AVR® MCU, an ATECC608A CryptoAuthentication™ secure element IC and the fully certified ATWINC1510 Wi-Fi® network controller - which provides the most simple, secure, and effective way to transfer and store the patient's cardiac data into the cloud. So it is used in this project to transfer patient health metrics to cloud.
Adafruit.io is a cloud service - that just means we run it for you and you don't have to manage it. You can connect to it over the Internet. It's meant primarily for storing and then retrieving data.
- Dashboards
Adafruit.io can handle and visualize multiple feeds of data. Dashboards are a feature integrated into Adafruit IO which allow you to chart, graph, gauge, log, and display your data. You can view your dashboards from anywhere in the world.
- Triggers
Use triggers in Adafruit IO to control and react to your data. Configure triggers to email you when your system goes offline, react to a temperature sensor getting too hot, and publish a message to a new feed.
- Feeds
Feeds are the core of Adafruit IO. They hold both the data you uploaded and meta-data about the data your sensors push to Adafruit IO. For example, the date and time when it was uploaded.
A IoT-based health monitoring system has been presented in this work. By using the system, the healthcare professionals can monitor, diagnose, and advice their patients all the time. The physiological data are stored and published online. Hence, the healthcare professional can monitor their patients from a remote location at any time. This project shows the novel approach of the wireless data transmission using Bluetooth technology for patient’s physiological signal monitoring. The important specification of this paper is based on the real time monitoring of bio signals.
Comments