SYSTEM AND METHODS FOR ADAPTIVE CARDIOPULMONARY RESUSCITATION TRAINING BASED ON INDIVIDUAL SKILL PROFILES AND MULTI-SENSOR DATA

Abstract

The invention relates to the field of computer-assisted medical training devices, specifically a system and method for training and evaluating cardiopulmonary resuscitation (CPR) skills based on multi-sensor data and individual skill profiles. The system includes a patient simulator, a multi-point sensor unit, a data processing unit, an artificial intelligence analysis unit, a database of individual skill profiles, and a training feedback and suggestion unit. Data acquired from multiple sensors related to CPR operations are synchronized over time, processed, and merged into feature vectors for skill assessment using an artificial intelligence model. The assessment results are stored in the individual skill profile to track skill development, identify recurring operational errors, and support personalized training. Based on this, the system is capable of generating feedback and suggesting exercises appropriate to each user's actual skill level.

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