Domestic and self-remote
healthcare paly a huge role when it comes to the elderly. Not only limited to
the senior citizens but can also be of help to physically challenged people. The
opens up huge opportunities for development in health care and medical devices.
The system we propose is purely meant for domestic applications but regardless
of that, same technology can be used in medical industry as well. Although
similar technologies have been emerged there is still on better open source and
low cost solution. The system is designed in such a way that it is capable of measuring
various human body factors. Various sensors are used to determine the health
structure of the patient. Basic sensors like DS18B20 digital temperature sensor,
MLX90614 Non-Contact Infrared Temperature Sensor, Pulse rate sensor, ECG
module, spirometry sensor and more can be used to collect primary body factors.
Complex sensors like those used in body composition meters can also become part
of the system to provide specific data like fat, water, bone and muscle percentage.
More accurate sensors can even determine weight, body age, BMI and resting
metabolism. These sensors are to be connected to the Arduino Uno or Nano microcontroller.
Arduino is to be programed in such a way that it is not to be limited to number
of sensors. The Arduino will mainly act as a sensor manager and help the system
collect the data for further processing. The collected data is further be sent
to Node MCU. Node MCU is another microcontroller with inbuilt ESP8266 Wi-Fi
module and MCU based Arduino architecture. Node MCU will received the data from
Arduino via serial communication established between them. Node MCU will act in
master mode and will then be used to command Arduino for the sensor data that
is been requested by the user. The input to the system specifically Node MCU
will over intranet where MCU will act as a server to provide repose to the user
requests. This system is based on a cloud platform and hence the data is to be
uploaded on to the cloud. When performing this task MCU goes to client mode and
requests the cloud for upload. System keeps track of the daily data that it’s
been collecting in the past. This data is then shared with doctors through a
website where doctor can analyze the condition of the patient and provide
further details online. Analytic like Watson and Mat Lab can be used to perform
data analysis on to the information collected by the system over cloud. Patient
or doctor can communicate with one another on this platform and can go back and
view the past data any time they want. If system detects any abrupt changes in
patients any of the health condition like heart rate or body temperature, the
system automatically alerts the user about the patient’s status over there
smartphones and also shows details of the patient live over the internet. Patient’s
health parameter data stored over the cloud makes it even more beneficial than
maintaining the records on printed papers kept in the files or even the digital
records which are kept in a particular computer, laptop or memory devices.
Because there are chances that these devices can get corrupt and data might be
lost. Whereas, the cloud storage is more reliable and does have minimal chances
of data loss. Thus this cloud and IoT based health tracking system effectively
uses internet to monitor patient’s health stats and save lives on time.
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