一个数字化收集传统中医药 (TCM) 脉冲信息使用生物脉冲诊断设备的协议
Xing Zhu1,2, Fanyu Wang2, Jian Mao1
1Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, 200433 China.
Phenomics (Cham, Switzerland)
|October 26, 2023
概括
这项研究引入了一个生物数字协议,用于高效和可靠的传统中医 (TCM) 脉冲诊断. 该系统自动获取脉冲,确保高级TCM研究和临床应用的数据完整性.
科学领域:
- 生物医学工程 生物医学工程
- 传统中国医药 传统中国医药
- 数字健康数字健康
背景情况:
- 传统中医 (TCM) 脉冲诊断至关重要,但在临床实践中自动化具有挑战性.
- 现有的TCM脉冲诊断设备缺乏现代研究的效率,可靠性和数据完整性.
- 需要标准化,客观的方法来收集TCM现象的脉冲信息.
研究的目的:
- 提出一种新的数字协议,用于高效,可靠的TCM脉冲信息收集.
- 开发一种生物脉冲诊断系统,用于自动化和自适应性脉冲采集.
- 建立TCM脉冲现象学和临床研究的基本数据集.
主要方法:
- 一个四度自由度的机器人平台,带有手腕支架,用于自适应空间定位.
- 3D手腕表面重建和图像定位用于自动获取坐标.
- 系列弹性关节模拟TCM触摸技术与力控制的多梯度压力.
主要成果:
- 生物系统确保了脉冲诊断的高效率,可靠性和数据完整性.
- 自动获取脉冲信息,包括个人数据,定位和力量动态.
- 生成丰富的脉冲数据,适用于建立脉冲表型数据集.
结论:
- 拟议的数字协议将标准化TCM脉冲信息收集.
- 这项技术通过脉冲分析提高了通过脉冲分析检测异常健康状况的有效性.
- 促进TCM的基础和临床研究,特别是脉冲现象学.
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