一种基于脊柱关节振动信息的表皮提取定位方法及系统

• Format: Patent
• Language: Chinese
• Published: 05.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; ELECTRIC DIGITAL DATA PROCESSING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

本发明涉及振动信号测量技术领域，具体为一种基于脊柱关节振动信息的表皮提取定位方法及系统，包括以下步骤：基于脊柱关节的振动信号，采用信号捕捉与滤波处理算法，进行数据捕捉，并通过高通滤波去除噪声，生成预处理后的振动数据。本发明中，通过信号捕捉与滤波处理算法，有效去除噪声，提升数据质量，为分析提供精准输入，深度神经网络学习算法增强特征识别精度和效率，精确识别振动模式，模式识别与分类算法精准提取并分类振动特征，三维映射与可视化算法将数据转化为脊柱三维视觉模型，增强结果解释性，振动分析与定位算法结合人工智能预测分析，准确定位问题区域，预测脊柱健康趋势，为临床诊断治疗提供支持。 The invention relates to the technical field of vibration signal measurement, in particular to an epidermis extracting and positioning method and system based on spinal joint vibration information, and the method comprises the following steps: based on a vibration signal of a spinal joint, carrying out data capture by adopting a signal capture and filtering processing algorithm, and removing noise through high-pass filtering; and generating the preprocessed vibration data. According to the invention, through a signal capturing and filtering processing algorithm, noise is effectively removed, data quality is improved, accurate input is provided for analysis, a deep neural network learning algorithm enhances feature recognition p