分子链构象变化背景下人体运动测量方法。

IF 1.6 4区 医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Meizhi Wang
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引用次数: 0

摘要

本研究提出了一种将分子链构象与嵌入碳纳米管的硅橡胶应变传感器相结合的人体运动测量模型,以提高信号响应的稳定性。采用改进的最小均方算法对信号处理进行优化。实验结果表明,该模型测量精度为95.12%,F1分数为92.45%,信噪比为35.14 dB,时延为60.45 ms。在不同年龄组和步态、跑步、跳跃等运动状态下,平均检测误差保持在3%以下,心率和血氧饱和度的生理监测误差低至0.42。该模型在动态条件下运行稳定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human motion measurement methods under the background of molecular chain conformation changes.

This study proposes a human motion measurement model combining molecular chain conformation with a silicone rubber strain sensor embedded with carbon nanotubes to enhance signal response stability. An improved least mean square algorithm is used to optimize signal processing. Experimental results show the model achieves 95.12% measurement accuracy, 92.45% F1 score, 35.14 dB SNR, and 60.45 ms latency. Across different age groups and motion states such as gait, running, and jumping, the average detection error remains below 3%, and physiological monitoring errors for heart rate and oxygen saturation are as low as 0.42. The model operates stably in dynamic conditions.

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来源期刊
CiteScore
4.10
自引率
6.20%
发文量
179
审稿时长
4-8 weeks
期刊介绍: The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.
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