The problem REAL TIME NEURO DISORDER DETECTION USING IOT& AIML solves

• HEART RATE MONITOR INTRODUCED WITH WIFI USING IOT:
  On the onset of new innovation and technology in today’s world we apply technology to facilitate our day today activities.
  It has become a basic element in the medical field and has played a significant part in the ever evolving field of medical field.
  IR sensor circuit is used to access the blood flow based on light refection to determine the heart rate pulse and is then transmitted through a WIFI circuit and is received by the receiver. The pulse is then computed using AT89S51 IC with embedded C programming to display the output on a LCD screen

• NEURO DISORDER FUSED WITH THIS CONCEPT
  -Neurological disorders are frequently associated with ECG and structural cardiac changes with various clinical manifestations.
  -A series of complex interaction exists between the nervous and cardiovascular systems.
  -In this abstract we first review the signals received from a persons cardiac movement and is later amplified using an operational amplifier (LM324) and is transmitted using a WIFI RX 433 which at first encodes and later decodes the received signals and this signal is indicated with a help of a led and is later converted to digital format using an embedded C programming chip (IC AT89S) .These signals are visualized and are monitored and later analyzed under the Neurological circumstances.

• PROPOSED SOLUTION:
  -The solution is an implementation of both the concepts merged to present a comprehensive, cost effective, and a viable concept using WIFI technology in healthcare sectors to detect the disorder accurately and analyze time to time.
  -The data is captured electronically.
  -The Final Phase constitutes an AI Technology which is casted with Machine Learning that will be introduced to record all the necessary information of the patients in a data set and is further analyzed using data processing using linear regression.
  -Similar to a WIFI debit card every patient will be provided with an "info card"

Challenges I ran into

From the inception of the idea behind the concept till it was implemented into a Real World Application, it was a challenging phase for us to compete with modern technolgies and components to be organised

Challenges:

• Use of Microcontrollers for the betterment (Arduino boards).
• Consistent maintainance of static volatge (5V) throughout the process.
• Use of Encoders and Decoders.
• Transferring and Storing of signals (Signal Processing)
• Conversion of Signals to digital format using(Embedded C Programming) chip.
• Study on AI-ML for storing, processing-train, analyzing and predicting the required info.
• Adding more and more Real Time features to our concept for the betterment.