Description:Field of Invention:
The Designing an IoT-based patient health monitoring system falls under the interdisciplinary field of biomedical engineering and healthcare technology. This field integrates principles from electronics, computer science, data analytics, and healthcare to develop innovative solutions for monitoring and improving patient health remotely.

Background of the invention:

The background for the invention of IoT-based patient health monitoring systems stems from several factors:

1. Rising Healthcare Costs: Healthcare expenses are escalating globally, driven by factors such as an aging population, increased prevalence of chronic diseases, and advances in medical technology. IoT-enabled solutions offer a way to improve healthcare efficiency and reduce costs by enabling remote monitoring and early intervention.

2. Advancements in IoT Technology: The proliferation of IoT devices, along with improvements in sensor technology, connectivity, and data analytics, has made it feasible to develop sophisticated health monitoring systems that can continuously collect and analyze patient data in real-time.

3. Shift towards Preventive Healthcare: There's a growing emphasis on preventive healthcare to proactively manage and prevent chronic conditions. IoT-based monitoring systems allow for continuous tracking of vital signs and health metrics, facilitating early detection of potential health issues and enabling timely interventions.

4. Patient-Centered Care: There's a shift in healthcare towards patient-centered care, focusing on individual needs, preferences, and active participation in their own health management. IoT-based monitoring systems empower patients by providing them with access to their health data and enabling them to play a more active role in managing their health.

5. Demand for Remote Monitoring: With the increasing preference for home-based and remote care options, particularly in light of events like the COVID-19 pandemic, there's a growing demand for technologies that enable remote monitoring of patients outside traditional healthcare settings. IoT-based monitoring systems allow healthcare providers to monitor patients remotely, reducing the need for frequent hospital visits and improving access to care, especially in rural or underserved areas.

OBJECTIVE OF INVENTION
• Improve patient outcomes through real-time monitoring.
• Enable remote monitoring and management for enhanced accessibility.
• Support preventive healthcare by identifying risk factors early.
• Empower patients with access to their health data and self-management tools.
• Optimize healthcare delivery for efficiency and cost-effectiveness.
• Enhance clinical decision-making with real-time insights.

STATEMENT OF INVENTION:
."Our invention is a comprehensive IoT-based patient health monitoring system designed to revolutionize healthcare delivery by enabling real-time remote monitoring of vital signs and health metrics. Incorporating wearable sensors, connectivity technology, and advanced data analytics, our system empowers both patients and healthcare providers with timely insights, facilitating early intervention, personalized treatment, and improved patient outcomes. By combining innovation with a patient-centred approach, our invention aims to transform healthcare by promoting preventive care, enhancing accessibility, and ensuring data security and privacy."

BRIEF SUMMARY OF THE INVENTION

Now-a-days, the medical electronics-sensors (E-sensors) are playing an important role in health care centers. The patient electronics-health (E-health) monitoring is one of the major advancements in research field. Here we use the temperature sensor, heartbeat sensor to monitor the patient’s body temperature, pulse and heart rate respectively. Hence like the use of thermometer in home to check body temperature before doctor’s consultation, this proposed model (devices) can be used to check the patient’s health condition in home as first aid information to the concerned patient otherwise now-a-days consulting doctors or going to diagnosis centers become very costly in terms of financial aspect. To minimize this situation, we describe the design of a Arduino microcontroller based advanced/high performance integrated health portable monitoring system. Like one parameter say Heart rate of the patient is measured by placing the index finger on IRD (Infra-Red Device) sensor and the pulse rate is then measured. The Heart Rate, and the Body Temperature information is then sent to the webserver through IOT
Our invention is an IoT-based patient health monitoring system that utilizes wearable sensors and advanced data analytics to enable real-time remote monitoring of vital signs and health metrics. By providing timely insights to both patients and healthcare providers, our system aims to facilitate early intervention, personalized treatment, and improved patient outcomes. With a focus on preventive care, accessibility, and data security, our invention seeks to revolutionize healthcare delivery and empower individuals to take control of their health.

DETAILED DESCRIPTION OF COMPONENTS:

ARDUINO UNO:

• The microcontroller works like the brain of the system.
• It continually receives the ambient temperature data from the temperature sensors and based on the received data, it directs the fans to operate proportionally to the temperature, i.e. higher the temperature in the range of 25-50 °C, higher the fan speed.
• It serves to control the electric fan speed according to the code, allowing dynamic and almost immediate control.

LM35:

• The LM35 is a precision integrated-circuit which has output voltage linearly proportional to Celsius temperature and is rated to operate over a -55°C to 150°C range.

• It is a 3-terminal device that provides analog voltage converted to digital form for the Arduino to process.

• The LM35 sensor is more accurate than a thermistor and produces more voltage than a thermocouple, reducing the requirement for voltage to be induced.

PULSE SENSOR:

• In an IoT-based patient health monitoring system, a pulse sensor plays a crucial role in measuring a person's heart rate in real-time.
• The primary function of a pulse sensor is to measure the heart rate of the patient continuously or at regular intervals.
• It detects the pulsatile blood flow caused by the contractions of the heart and converts it into an electrical signal.

LCD DISPLAY:
• The term LCD stands for liquid crystal display.
• It is one kind of electronic display module used in an extensive range of applications like various circuits & devices like mobile phones, calculators, computers, TV sets, etc.
• These displays are mainly preferred for multi-segment light-emitting diodes and seven segments.

MAX30102:
• In an IoT-based patient health monitoring system, a pulse oximeter sensor plays a crucial role in measuring two key parameters: oxygen saturation level (SpO2) and heart rate.
• Pulse oximeters use light absorption to measure the amount of oxygen saturation in the blood.
• They typically emit two wavelengths of light, one red and one infrared, through the skin.

GLUCOSE SENSOR:
• A blood glucose sensor plays a crucial role in monitoring and managing the blood sugar levels of patients, especially those with diabetes.
• Blood glucose sensors continuously monitor the glucose levels in the patient's blood. This continuous monitoring provides real-time data, allowing for immediate intervention if glucose levels become too high or too low.
, Claims:1. A patient health monitoring system comprising wearable sensors configured to collect vital signs and health metrics.
2. The system of claim 1, further comprising a data transmission module for securely transmitting collected data to a remote server.
3. The system of claim 2, wherein the remote server includes a data analytics platform for real-time analysis of collected health data.
4. A user interface for providing patients with access to their health data and personalized insights.
5. The system of claim 4, wherein the user interface includes interactive features for facilitating patient engagement and self-management.
6. A healthcare provider interface for enabling healthcare professionals to remotely monitor patient health status and intervene as needed.
7. The system of claim 6, wherein the healthcare provider interface includes customizable alerts and notifications for abnormal health trends.
8. A predictive analytics module for identifying potential health risks and recommending preventive measures.
9. The system of claim 8, wherein the predictive analytics module utilizes machine learning algorithms to analyze historical health data and predict future health outcomes.
10. A secure data storage mechanism for safeguarding patient health data and ensuring compliance with privacy regulations.