4.7 Article

Ballpoint-Pen Like Probes for Multipoint Dynamic Pulse Diagnosis System

期刊

IEEE SENSORS JOURNAL
卷 22, 期 12, 页码 12253-12259

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3174611

关键词

Sensors; Probes; Sensor phenomena and characterization; Sensor arrays; Force; Capacitive sensors; Skin; Tactile sensors; robot sensing systems; automatic test equipment; biomedical signal processing

资金

  1. National Key Research and Development Program of China [2021YFA1401103]
  2. National Natural Science Foundation of China [61825403, 61921005, 61674078]
  3. Nanjing Scientific and Technological Talents Program

向作者/读者索取更多资源

The paper proposes a capacitive pulse diagnosis system with a novel ballpoint pen-like probe structure and electromechanical control modules, which effectively collects pulse condition characteristics. This design provides a new approach to digitalize the cognitive category of traditional Chinese medicine, offering opportunities to better understand and analyze physiological signals for health monitoring and disease treatment applications.
The radial artery pulse on the wrist is a non-invasive and reliable index for health monitoring, and is important diagnosis basis for traditional Chinese medicine and Ayurvedic medicine. Digitalization of pulse signals is an important way to develop healthcare big data and implement traditional Chinese medicine theories. However, collecting all the characteristics of human pulse with high fidelity remains a challenge. In this paper, we proposed a capacitive pulse diagnosis system with a novel ballpoint pen-like probe structure, and electromechanical control modules to effectively collect pulse condition characteristics. The ballpoint pen-like probe has low-friction contact with the skin surface, which can precisely locate the pulse points of maximum intensity with the assistance of the x-y stage, and accurately record the pulse waveform with excellent signal quality. This design provided a new approach to digitalize the cognitive category of traditional Chinese medicine, and opportunities to better understand and analyze the physiological signals in health monitoring and disease treatment applications.

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