Unmanned examination and intelligent scoring method applied to CPR examination of doctors

Abstract

The invention discloses an unmanned examination and intelligent scoring method applied to CPR examination of doctors. The method is characterized by comprising the steps that S1, setting an examination link, examination key points of the examination link and scoring standards corresponding to the examination key points; wherein the assessment link comprises a pre-operation preparation link, an in-operation link and a post-operation judgment link; S2, acquiring operation action video and audio information of an examinee, and uploading the operation action video and audio information to a server; S3, sending the received video and audio information to an AI intelligent scoring system by the server, and performing intelligent scoring on actions and audios of an operator according to scoring standards corresponding to the assessment key points; and S4, pushing the total scoring result of the examination to a display for display by the server. The speech recognition function of artificial intelligence is fused into spoken recognition of CPR simulation training teaching, whether terms of an operator are correct or not can be recognized in real time, the spoken quality can be effectivelyfed back to trainees in real time, and the trainees can quickly correct the defects of themselves.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an unattended examination and intelligent scoring method applied to doctors' CPR assessment. Background technique [0002] Sudden cardiac arrest is a serious threat to people's lives and health. Carrying out high-quality cardiopulmonary resuscitation (CPR, cardiopulmonary resuscitation) can significantly improve the survival rate of patients, and it is also an important means of saving patients' lives. The American Heart Association (AHA, American Heart Association) and the International Liaison Committee on Resuscitation (ILCOR, International Liaison Committee on Resuscitation) regard high-quality cardiopulmonary resuscitation as the core of resuscitation [1]. At present, the conventional cardiopulmonary resuscitation training and assessment methods are applied medical simulators and judged by referees. There are several disadvantages in doing so, for example, t...

AI Technical Summary

Problems solved by technology

There are several disadvantages in doing so, for example, the examiner's judgment is highly subjective and not objective enough; in the process of assessment and judgment, the specific compression depth and frequency of the candidate depend on the quality conditions of the simulator itself, which is difficult for the examiner to judge; during the training process, the trainee needs the examiner Always supervise and cooperate to correct and improve their own operations, which consumes a lot of manpower costs for training and assessment, etc.

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