It is seen now a days that getting heart attack while driving has become too common and a major problem which needs immediate attention. To address this issues a Heart Monitoring System (HMS) Product is aimed to develop. HMS will have a sensor attached to the patent body and will continuously sense the heartbeat. A receiver is kept as part of system which receives the signal from sensor and diverts it to communicator, the communicator intern sends the data remotely to Guardians or Doctors to monitor the heartbeat. We should know here that this system will not stop heart attack but alters if any major changes in heartbeat. The entire system is AI based and uses Predictive Analysis for calculations. As Project Group / Individual initial goal is to 1. Find the drawbacks in the present health monitoring system (consider any TWO). Study based on Touch points. 2. Study What are the AI and Predictive Analysis based techniques can bring in advances. 3. Find newer methods to track the heartbeat accurately and communicate in secure mode. 4. Designing a method of implementing (Doing detailed design based on secure life cycle, identifying penetration points). 5. Design a Good method of storing the data. 6. Create optimal methods and Software for Implementation 7. Good strategies for testing 8. And an efficient method of Maintaining the software product With this understanding of case study answer following question. Assignment is you have to answer following questions. Questions (Each question carry FIVE marks) 1. Suggest few primary parameters which need to be considered before re-structuring SDLC for the product to implement (Design an efficient methodology or life cycle to implement health monitoring system) & Design a Flow diagram or Data Flow Diagram which senses hearth attach and communicate securely to Doctors and Guardians

Before restructuring the Software Development Life Cycle (SDLC) for the Heart Monitoring System (HMS) product, the following primary parameters need to be considered:

1. User Requirements: Understand the needs of the end-users, which in this case are the patients, doctors, and guardians. This includes the type of data to be monitored, the frequency of monitoring, and the preferred method of communication.

2. System Requirements: Determine the technical specifications of the HMS, such as the type of sensor to be used, the range of the receiver, the capabilities of the communicator, and the requirements for the AI and predictive analysis components.

3. Security Requirements: Identify the security measures needed to protect the sensitive health data being transmitted and stored. This includes encryption methods, secure communication channels, and data privacy regulations.

4. Maintenance and Support Requirements: Plan for the ongoing maintenance and support of the HMS, including software updates, hardware repairs, and user support.

5. Budget and Time Constraints: Consider the available resources and timeline for the project. This includes the cost of development, testing, implementation, and maintenance, as well as the project schedule.

For the flow diagram, the following steps can be considered:

1. The sensor attached to the patient's body senses the heartbeat and sends the data to the receiver.
2. The receiver forwards the data to the communicator.
3. The communicator uses AI and predictive analysis to interpret the data and identify any major changes in the heartbeat.
4. If a major change is detected, the communicator sends an alert to the doctors and guardians through a secure communication channel.
5. The doctors and guardians receive the alert and can monitor the patient's heartbeat remotely.
6. The data is stored securely for future reference and analysis.

This flow diagram ensures that the heartbeat data is tracked accurately and communicated securely, while also allowing for predictive analysis and remote monitoring.