Identity recognition system and method based on cardiac function dynamic monitoring and analysis

A technology of identification and dynamic monitoring, applied in the directions of character and pattern recognition, blood flow measurement, diagnostic recording/measurement, etc., can solve the problems of weak disease diagnosis ability, affecting immediate response, not considering heart early warning, etc., to achieve early warning and timely The effect of medical care

CN110491500AActive Publication Date: 2019-11-22王满 +1
16 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-11-22

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an identity recognition system and method based on cardiac function dynamic monitoring and analysis. The identity recognition includes database establishment, feature spectrumextraction, feature query, comparison and an identity discrimination device and method. The identity recognition technology is applied to a portable smart heart patch system which is worn in the center of the human chest in the form of a wearable device, in-vitro monitoring is conducted on cardiac mechanical vibration, vibration information of the heart is obtained non-invasively in real time, bycombining digital processing, machine learning and artificial intelligence technology pattern recognition and intelligent diagnosis, cardiac physical structures and abnormal beating rhythms such as valvular disease, abnormal motion of the heart wall, cardiac ejection fraction change and arrhythmia are found in the early stage. By combining an early warning report system, the purposes of early warning and timely medical care of the heart disease are achieved. Early warning monitoring of severe arrhythmias, angina pectoris and acute myocardial infarction is achieved, and by contrasting rehabilitation monitoring after surgery, monitoring for home-based care people and sports people is achieved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of intelligent medical devices, and in particular relates to an identification system and method based on dynamic monitoring and analysis of heart function. Background technique

[0002] Heart disease is the number one killer of human beings, and there are billions of heart patients worldwide today who need timely, appropriate and affordable medical care. The traditional electrocardiogram (ECG) can only detect abnormal ECG signals, but has little or no effect on the defects, lesions, aging, and loss of function of the physical structure of the heart itself (such as partial necrosis of the myocardium). Echocardiography, computed tomography (CT), magnetic resonance imaging (MRI) and myocardial perfusion nuclide scanning require large-scale equipment and professional personnel to operate, and the cost of detection is high, and it is difficult to monitor anytime and anywhere, losing valuable pathology Informati...

Examples

Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but the present invention is not limited in any way. Any changes or changes made based on the teaching of the present invention belong to the scope of protection of the present invention.

[0020] like figure 1 , 2 As shown, the present invention is an identification system based on dynamic monitoring and analysis of cardiac function, and the identification device includes,

[0021] The heart vibration signal feature database device is used to collect a large amount of heart vibration atlas data, extract each user's heart feature through a feature extraction algorithm, form a (feature-identity) binary group with the user identity, and store it in the database;

[0022] The heart vibration signal feature spectrum extraction device is used to extract the heart vibration signal of the user to be identified, and obtain the feature spectrum through data prepr...