Video data-based system for blood pressure prediction

A video data based system for a blood pressure prediction, wherein the system for predicting a blood pressure based on video data comprises a first device and a cloud server, wherein:

• the first device comprises a master control module, a first camera, a light module, a display screen and a first communication module;
• the first master control module is configured to call the first camera and the light module to perform shooting processing on an epidermal area of a test object for a first duration, to generate a first video data;
• the display screen is configured to receive the first video data sent by the master control module to perform play processing;
• the first master control module is further configured to perform extraction processing of light source channel data on the first video data according to light source information to generate first channel data;
• then to perform remote photoplethysmography signal data conversion processing on the first channel data to generate first signal data;
• and then to send the first signal data to the display screen to perform signal waveform display processing according to a display duration;
• the first master control module is further configured to encapsulate the first signal data, first device token information, first device type information, and first age information, first gender information, first height information and first weight information of the test object to a first data packet according to a first protocol, and send the first data packet to the cloud server by means of the first communication module;
• the cloud server comprises a second master control module, a validity verification module, a parameter verification module, a data pre-processing module, an artificial intelligence blood pressure prediction module and a second communication module;
• the second master control module is configured to perform data analysis processing on the first data packet according to the first protocol, to obtain second signal data, second device token information, second device type information, second age information, second gender information, second height information and second weight information;
• the validity verification module is configured to perform validity verification processing on the second device token information according to a valid token list;
• the parameter verification module is configured to, when the validity verification processing is successful, perform parameter verification processing on the second signal data, the second device type information, the second age information, the second gender information, the second height information and the second weight information;
• the second master control module is further configured to, when the parameter integrity verification processing is successful, perform heart rate calculation processing according to the second signal data, to generate heart rate data;
• the data pre-processing module is configured to perform input data preparation processing of a blood pressure prediction module on the second signal data, the second age information, the second gender information, the second height information and the second weight information according to identifier information of the prediction module, to generate input data of a model;
• the artificial intelligence blood pressure prediction module is configured to perform blood pressure prediction operation processing on the input data of the model according to the identifier information of the prediction module, to generate diastolic pressure data and systolic pressure data;
• and
• the second master control module is further configured to set state code data to be normal state code information, then constitute return data according to the heart rate data, the diastolic pressure data and the systolic pressure data, then encapsulate the return data and the state code data to a second data packet according to the first protocol, and send the second data packet to the first device by means of the second communication module;
• and
• the first master control module is further configured to perform data analysis processing on the second data packet according to the first protocol, to obtain the return data and the state code date;
• acquire, when the state code data is the normal state code information, obtain the heart rate data, the diastolic pressure data and the systolic pressure data from the return data;
• and then send the heart rate data, the diastolic pressure data and the systolic pressure data to the display screen to perform heart rate and blood pressure data display processing.