AI Cardiopulmonary Monitoring Radar

The main function of the AI Cardiopulmonary Monitoring Radar is to monitor heart and lung health. Although it does not explicitly indicate a specialized lung detection feature, it can indirectly reflect some lung conditions by monitoring the thoracic cavity and applying relevant technologies. Here is a detailed introduction:

Monitoring Principle

The AI cardiopulmonary monitoring radar is equipped with a 60GHz millimeter-wave AI module. By utilizing ultra-wideband frequency scanning and AI deep learning algorithms, it can accurately detect movement changes in the target, enabling precise measurement of multidimensional information such as object shape and speed. When monitoring the heart and lungs, it can capture the micro-movements of the heart and chest cavity in real-time and determine whether they are functioning normally, thus providing insights into the lung's operating condition.

Application Scenarios

Sleep Apnea Monitoring: In sleep scenarios, the AI cardiopulmonary monitoring radar can track the user's breathing rate and depth. When sleep apnea is detected, it can trigger connected devices such as playing music through a speaker or turning on the room lights to wake the user. It also sends alerts to caregivers and makes a phone call as a warning, which is especially important for individuals prone to sleep breathing issues, such as obese people with snoring problems and the elderly.

Daily Activity Monitoring: Beyond sleep scenarios, the AI cardiopulmonary monitoring radar can also be applied to various situations such as real-time monitoring for bedridden patients, comprehensive home monitoring for the elderly living alone, cardiovascular disease monitoring for middle-aged individuals, and sleep breathing monitoring for infants to prevent suffocation from bedding. It can continuously and promptly monitor users' cardiopulmonary health, providing precise health detection services for different populations.

Data Reports

The AI cardiopulmonary monitoring radar can automatically generate daily and weekly health reports. These reports include cardiopulmonary health data and related analyses, making it convenient for users to provide reference data when visiting a doctor. Physicians can use these reports to understand the patient's cardiopulmonary performance in daily life and assist in diagnosing lung or heart conditions.