In recent years, healthcare systems have faced challenges due to an aging population and an increase in long-term diseases. As a result, there is an increased demand on hospital resources [1]. The Internet of Things (IoT) appears to have the potential to reduce the overall costs of the healthcare system and the workload of doctors and nurses [2]. According to [3], “Wearable health monitoring systems are systems that can be carried by patients, collect physiological data from them and transmit it to some form of data collection for further analysis, are considered a way to reduce costs by reducing costs doctors. visits and early diagnosis of diseases". In this article, we aim to provide a solution that collects data related to the patient's heart and muscles and provides insights accordingly. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay Methodology: Our goal is to implement an Android application that will use Shimmer sensors to collect ECG (electrocardiograph) and EMG (electromyograph) data. The path of electrical impulses is recorded through the heart muscle 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 based on the API provided by Shimmer to manage such data, and we will set a threshold to find the emergency medical 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; they are ECG, EMG, Biophysics, Biophysics, Kinematics, GPS. Our goal is to use these sensors, collect relevant data on our custom Android application, and send alerts for values ​​that exceed threshold points. Related Work – At present, with the pace at which technology is advancing, mobile healthcare applications are no longer unlikely. Applications of this type will allow people to be aware of their health and also provide useful data to doctors and nurses [4]. In [4], wearable devices such as the Zephyr Bioharness BH3 to monitor heart rate and the 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 PPG (photoplethysmography) sensor to measure heart rate; passed the physiological data to a PC via wired connection, and the final step was to store this data on a remote server. Rajkumar and Srikanth [6] developed a system using Raspberry pi along with DS18B20 temperature sensor and Fitbit to measure heart rate. Any abnormal value will alert the doctor and store that value in the server. They claim that Raspberry Pi provides an efficient 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 sensor data to the phone. Furthermore, they used the smartphone's built-in location service to transmit geolocation data. Please note: this is just an example. Get a personalized document now.