In recent years, healthcare systems have faced challenges due to an aging population and an increase in long-term illnesses. As a result, there is an increased demand for hospital resources [1]. The Internet of Things (IoT) appears to have the potential to reduce the overall cost of the healthcare system and the workload of doctors and nurses [2]. According to [3], “Wearable health monitoring systems are systems that can be worn by patients, collect physiological data about them, and stream it to some form of data collection for further analysis. They are seen as a means of reducing costs by reducing medical care.” visits and early detection of diseases. In this article, we plan to provide a solution that would collect the patient's heart and muscle data and produce an overview accordingly. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essay Methodology - Our goal is to implement an Android application that will use Shimmer sensors to collect ECG (electrocardiograph) and EMG (electromyograph) data. Through the heart muscle, the path of electrical impulses is recorded to monitor the electrocardiogram. On the other hand, EMG is a medical procedure to measure the health of muscles and nerve cells that control motor neurons. The application will be built on the API provided by Shimmer to manage this data and we will set a threshold to find the emergency health condition level based on the standard medical emergency condition level. I plan to work on the Android implementation aspect of the project and also integrate location services using the GPS sensor. We took six Shimmer sensors from the department; these are ECG, EMG, Bio Physics, Bio Physics, Kinematics, GPS. Our goal is to use these sensors, collect relevant data on our custom Android app and send alerts when values ​​exceed thresholds. Related Work - Nowadays, at the rate at which technology is advancing, mobile healthcare applications are no longer improbable. Applications of this type will make individuals aware of their health and will also provide useful data to doctors and nurses [4]. In [4], wearable devices such as Zephyr Bioharness BH3 for monitoring heart rate and A&D Medical UA-767PBT-C blood pressure monitor were used to acquire data via Bluetooth protocol. The collected data was then analyzed on a mobile device; prepared for viewing and finally sent to medical servers for further investigation. Another approach was suggested by [5] where they used a PPG (photoplethysmography) sensor to measure heart rate; transmitted the physiological data to a PC via a wired connection and the last step was to store this data on a remote server. Rajkumar and Srikanth [6] developed a system that uses Raspberry Pi with DS18B20 temperature sensor and Fitbit to measure heart rate. Any abnormal value will alert the doctor and store this value on the server. They claim that Raspberry Pi provides an effective solution in this use case because it consumes little power and has the ability to multitask. In [2], plug and play pulse sensors with Arduino were used to monitor heart rate. They had to use the HC-05 Bluetooth shield to transmit data from the sensor to the phone. Of.