Description:Field of the Invention
The present invention relates to health monitoring systems, specifically in the area of cardiac rehabilitation. It involves using mobile applications and pose detection algorithms to monitor and correct patient posture during exercises. The system also employs a rule-based approach to assign personalized exercise routines based on patient-specific data.
Objective of this Invention
The main objective of this invention is to create a mobile application that helps with cardiac rehabilitation by using a pose detection algorithm to ensure patients are performing exercises correctly. The app collects following parameters like age, BMI, medical history, and vital signs, then uses this data to suggest a set of exercises tailored to each patient’s needs. By offering real-time feedback on posture and exercise duration, the app aims to improve the effectiveness and safety of rehabilitation, helping patients recover more efficiently and safely.
Background of the Invention
Cardiac rehabilitation plays a major role in the patient recovery process of heart conditions. However, present-day rehabilitation programs contain a lack personalization and real-time feedback. The absence of exercise guidance often means that patients either perform their exercises incorrectly, which subsequently limits their ability to progress, or worsens the injury itself. Conventional methods are mainly based on in-person supervision, which in turn poses obstacles due to limited accessibility or feasibility for patients who cannot move well. The emerging popularity of mobile health apps offers a good opportunity to bridge the gap in personalized-on-demand rehabilitation support, whereby through advanced technologies such as pose detection and rule-based algorithm this invention intends to provide an efficient, accessible, and patient-centered alternative for cardiac rehabilitation so that real-time feedback and exercise recommendations would be offered according to the patient's needs and conditions.
The approach in US8905925B2 was the method that permit remotely – monitored rehabilitation of a patient. The patient monitor device will monitor the patient physiological data using first monitoring mode. The device designed to display patient to engage in prescribed exercise and capture the patient’s response based on their level. A configuration module linked with the interaction device is set to be secondary monitoring mode. It finds out the patient is interested to complete the daily routine. After completion of the daily routine the first monitoring mode will be reset.

The CN – 107025373 - A invention describes about a method for cardiac rehabilitation guidance, contains following steps; The doctor creates a personalized exercise plan. Patient will log into their account and start the plan after getting approval of the doctor. The exercise starts by clicking on a keyword start training. The patient proceeds with the exercises using different equipment as specified in plan. After completion of the training the patient click on end training button and provides feedback through a scoring system, uploads the session data to the cloud, with the conclusion of entire session. Then doctor review the patient feedback verify the patient progress and make necessary adjustments to the rehabilitation plan based on the patient’s health, enhancing overall effectiveness of the treatment.
The PMC9644358 in cardiac rehabilitation has crucial benefits for patients with cardiovascular conditions. However, the overall participation in cardiac rehabilitation was low. Introduced a innovative rehabilitation methods will enhance patient engagement. Virtual reality has applied to various applications, including physical rehabilitation for neurological disorders, treatment for several psychiatric conditions etc. In this meta – analysis, to evaluate whether incorporating VR, whether immersive or non – immersive, that improves anxiety levels and functional capacity compared to traditional cardiac rehabilitation at any stage of rehabilitation process.
The US20230386639A1 describes about the computer – implemented method. It involves a calculation of user’s maximum target heart rate for executing a treatment plan on an electromechanical device. This device is designed for user interaction during patient treatment process. This method has capturing input through an interface related to the user’s level. The interface display conveys details about the treatment plan. Using the excretion level and the maximum target heart rate, the method decides the resistance level to be applied by electromechanical device. While the user engages in the treatment plan, the device adjusts to provide the specified resistance.
Summary of the Invention
This invention is related to health care sector, a mobile app designed to help heart patients with their rehabilitation process. It uses pose detection algorithm using Google kit to make sure exercises are done correctly and personalizes workout routines based on patient data like age, BMI, and medical history.

The app also uses a rule-based system to assign specific exercises and durations based on the patient’s health information, such as heart rate and blood pressure, to ensure the exercises are right for them.

With real-time feedback on posture and exercise form, the app helps patients stay on track and reduce the risk of injury. It’s a simple, accessible way for patients to follow a personalized rehab plan right from their phone.

Brief Description of Drawings
The innovation will be depicted in detail with the reference to the model epitomes appeared within the figures where in:
Figure-1:Architecture of the Flutter pose detection for cardiac rehabilitation
Figure-2: Flowchart of the cardiac rehabilitation process
Figure-3: Methodology of the cardiac rehabilitation process
Detailed Description of the Invention
This invention introduces a novel mobile application that is intended to improve the process of cardiac rehabilitation for heart patients. The application not only provides personalized exercise plans but also uses real-time feedback to ensure that patients are performing the exercises correctly, thereby reducing the risk of injury and improving the rehabilitation outcome. With its easy-to-use interface and advanced features, the app makes cardiac rehabilitation accessible, safe, and effective, all from the comfort of the patient's home.

The application captures diverse information on a patient's health, including all aspects of personal health data. It does so in order to ensure the rehabilitation process is designed specifically to address the individual's needs. Information ranges from the age and BMI, gender, and history of surgeries performed in the past to the present diagnosis, resting heart rate, and blood pressure. All these will be considered to produce an exercise program specifically for the patient's overall health and medical history. With this, it becomes sure that the exercise routine undertaken by the patient is suitable to the condition and will not make the patient exhaust or perform wrong exercises.

What makes this product stand out is the integration of Google's Pose Detection API into the system that helps monitor the patient's posture while exercising. Once an exercise is conducted, the algorithm from pose detection follows all movement from head and limbs through torso for better control and observation during workout by a patient, as well as warning if wrong postures are noticed while doing a specific exercise. For instance, if the patient is performing a squat but not aligning his or her knees correctly, the application will encourage adjustment to posture to ensure that the exercise is made safely and effectively done.

The application also keeps monitoring the patient's vital signs, for example, the heart rate and the blood pressure, to change the exercise plan. Being a rule-based algorithm, the application will change the intensity and the time for every exercise to align with the physical state of the patient. The intensity can be decreased by changing the exercises; for instance, if the patient's heart rate goes too high or the patient's blood pressure falls out of the safe limits, the app will reduce the intensity of exercises, advise some rest, or alter the exercise so that they become safer to do. All of these adjustments ensure that the rehabilitation of the patient is always in consonance with their current health state to bring them optimal recovery and the minimum risk of complications.

What makes the app even more unique is that it does all this on a mobile platform, meaning that patients can use it wherever they are - whether at home or on the go. This flexibility eliminates the need for constant in-person appointments or specialized equipment, making cardiac rehabilitation more accessible, especially for those who may have mobility issues, live in remote areas, or find it difficult to visit a clinic regularly. Patients can follow their personalized exercise routine at their own pace and time, with constant guidance and feedback available at the touch of a button.

The app allows the patients to trace their development overtime. This records information related to their history in exercising, their posture, and their general signs. Not only does it encourage patients on their progress made, but this helps the care givers follow them up online as well. If the data collected by the app is needed, healthcare providers can modify the rehabilitation plan to provide a more personalized and responsive approach to cardiac care.

In summary, this invention provides a comprehensive solution for cardiac rehabilitation that combines personalized exercise plans, real-time posture correction, and continuous health monitoring, all within a mobile app. Using Google's Pose Detection API, the system will ensure the proper execution of exercises by the patients, while the rule-based algorithm will alter the exercise program based on the individual health data. This method of cardiac rehabilitation makes it safer, more effective, and more accessible to a broader population, thereby supporting them in their journey towards recovery from the comfort of their own homes.

Advantages of the Proposed Model
Advantages of Flutter pose detection for cardiac rehabilitation
Custom Rehabilitation: This customizes the exercise program to the patient-specific health profile relevant to them, including age, BMI, medical history, and other vital indicators. It enables rehabilitation to be designed uniquely for each patient depending on their need so that the patients are assured that their prescribed exercises are safe and beneficial according to the particular condition of their bodies.

Through Google's Pose Detection API, the app monitors the posture of the patient during exercise and delivers instantaneous correction. It ensures the exercise is carried out completely and minimizes the risk of getting injured while maximizing the effectiveness of every movement.

Convenience and Accessibility: Patients can observe their rehabilitation plan from the comfort of their room, thus making it convenient and accessible, in particular for patients who have problems with mobility and also for those staying in remote areas where accessing physical therapy might be challenging.

Health Monitoring: The application continuously monitors vital signs such as heart rate and blood pressure. If anything is off, it adjusts the exercises accordingly, so the patient is always working within safe limits for their recovery.

The application tracks the progress of the patient, such as improvement in posture and fitness level. In-this way, it is not only encouraging for-a patient to see how far he or she has come; it works for a doctor as remote monitoring of-a patients' recovery state and implementing-remedy actions accordingly.

Flexibility: The training may be carried on by any one at his or her own pace and time. With the app, patients have that flexibility to allow them to see their rehabilitation on their schedule-to-do things more conveniently, regardless of visiting any clinic or center for rehab more often.

Economical Cost: This process of providing a rehabilitation support aid through a mobile application is somehow cost-effective and reduces the expenses of patients with healthcare providers during in-person visitations.

This model brings cardiac rehabilitation into the modern age by offering a safe way and an appropriate point at which patients can have access to manage their recovery in the comfort of their homes.
Equivalents
The scope of the invention is neither limited to such details, but it should be understood that such modifications or equivalents would fall directly within the ability of one with ordinary skill in the art as an obvious application of the concepts of the subject invention. That includes, for example, various alternative methods to pose detection and different algorithms designed for personalized routines, as well as other alternatives for collecting health data and how it is further processed. All such changes are considered within the scope of the claims provided below. , Claims:Claim
1. A mobile application that captures the patient's exercise posture, recommends personalized exercises.
a) The mobile app employs Google's Pose Detection API in real time analysis of proper patient postures while exercising.
b) According to medical parameters, the type, duration, and intensity of exercises is altered by rule-based algorithm pertaining to heart rate, blood pressure, BMI, and medical history.
c) The mobile application provides immediate feedback to the patient during exercises, alerting them if their posture deviates from the correct form and offering suggestions for adjustments.
2. According to claim 1 , a method for cardiac rehabilitation using a mobile application, wherein the system monitors the patient’s posture during exercises, provides real-time corrections, and customizes the exercise intensity based on the patient’s health data.
3. As per claim 1, a mobile application for cardiac rehabilitation that includes a user interface for inputting patient health data, a real-time pose detection system for monitoring exercise form, and an exercise adjustment feature that modifies exercise routines based on ongoing vital signs and health progress.