This system aims to continuously monitor a patient's health status through small, body-worn devices (such as smart watches or medical bracelets).<br />The device collects vital signs (such as heart rate, blood pressure, oxygen saturation, temperature, electrocardiogram (ECG), or brainstem (EEG) signals), then uses artificial intelligence algorithms to analyze this data in real time.<br />If an abnormality or danger sign is detected (such as a sudden increase in blood pressure or an irregular heartbeat), the system automatically sends alerts to the patient, physician, or family members.<br />Basic Components of the System:<br />1. Sensors:<br />• Measures vital signs such as:<br />• Heart Rate<br />• Blood Oxygen (SpO2)<br />• Blood Pressure<br />• Temperature<br />• Electrical activity of the heart or brain (ECG/EEG)<br />2. Microcontroller:<br />• Such as an Arduino, ESP32, or Raspberry Pi.<br />• Collects data and prepares it for transmission or analysis.<br />3. Wireless Connection:<br />• Bluetooth or Wi-Fi to connect the device to a mobile app or the cloud.<br />4. Artificial Intelligence Algorithms:<br />• Uses machine learning or neural network techniques.<br />• Trained to recognize normal and abnormal patterns in vital signs.<br />5. User Interface:<br />• Smartphone app displays live health information.<br />• Audio alerts or notifications in case of a problem.<br />6. Alert System:<br />• Sends text messages or notifications to a doctor or family member in case of an emergency.