Defibrillation energy determination method, apparatus, device, and medium

By comprehensively analyzing the patient's collected information, including electrocardiogram data, facial and body contour images, and target light intensity, and combining inference models and safety thresholds, the problem of inaccurate defibrillation energy determination in existing technologies has been solved, improving the accuracy and safety of defibrillation energy.

CN121570730BActive Publication Date: 2026-07-03AMBULANC (SHENZHEN) TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AMBULANC (SHENZHEN) TECH CO LTD
Filing Date
2025-11-28
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing methods for determining defibrillation energy suffer from poor model generalization ability due to insufficient data, making it difficult to accurately describe the complex relationship between patient physiological state and defibrillation energy, and thus difficult to accurately determine defibrillation energy in different types of patients and complex clinical situations.

Method used

By acquiring patient information and electrocardiogram data, an abnormality is classified using a classification model. Facial and body contour image information is extracted, and heart rate and blood oxygen data are analyzed in conjunction with target light intensity. The data are then input into an inference model for analysis to determine the defibrillation energy and set a safety threshold to ensure the accuracy of energy output.

Benefits of technology

This enables comprehensive collection of patient information and accurate determination of defibrillation energy, improving the success rate and safety of defibrillation procedures and reducing patient harm caused by inappropriate energy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application relates to the technical field of intelligent medical treatment, in particular to a defibrillation energy determination method and device, equipment and a medium. The method comprises the following steps: acquiring collection information of a patient and electrocardiogram data of a collection device, inputting the electrocardiogram data into a preset classification model to perform abnormal classification, obtaining a classification result of the electrocardiogram data, if the classification result is abnormal, extracting face image information and body contour image from the collection information, inputting the face image information and the body contour image into a preset estimation model to perform analysis, determining heart rate data and blood oxygen data of the patient, inputting physiological characteristic data, the heart rate data and the blood oxygen data into a preset inference model to perform analysis, obtaining an energy output value, acquiring a preset safety threshold, if the physiological characteristic data, the heart rate data and the blood oxygen data are within the preset safety threshold, taking the energy output value as the defibrillation energy. Thus, the body information of the patient is comprehensively collected, so that the defibrillation energy value can be accurately determined.
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