Evidence map›Paper›PMID 37881314›Full record

ArticlePhenomics (Cham, Switzerland)2023

A Protocol for Digitalized Collection of Traditional Chinese Medicine (TCM) Pulse Information Using Bionic Pulse Diagnosis Equipment.

Xing Zhu, Fanyu Wang, Jian Mao, Yulin Huang, Peng Zhou, Jingjing Luo

Open access · greenAbstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Xing ZhuInstitute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, 200433 China.ORCID 0000-0003-2387-9460
Fanyu WangJihua Laboratory, Foshan, Guangdong 528200 China.ORCID 0000-0003-4021-046X
Jian MaoInstitute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, 200433 China.ORCID 0000-0002-4860-3391
Yulin HuangJihua Laboratory, Foshan, Guangdong 528200 China.ORCID 0000-0003-4476-3969
Peng ZhouJihua Laboratory, Foshan, Guangdong 528200 China.
Jingjing LuoInstitute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai, 200433 China.ORCID 0000-0002-3222-1276
Fudan University · CNJi Hua Laboratory · CNTianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulse diagnosis equipment used in Traditional Chinese Medicine (TCM) has long been developed for collecting pulse information and in TCM research. However, it is still difficult to implement pulse taking automatically or efficiently in clinical practice. Here, we present a digital protocol for TCM pulse information collection based on bionic pulse diagnosis equipment, which ensures high efficiency, reliability and data integrity of pulse diagnosis information. A four-degree-of-freedom pulse taking platform together with a wrist bracket can satisfy the spatial positioning and angle requirements for individually adaptive pulse acquisition. Three-dimensional reconstruction of a wrist surface and an image localization model are combined to provide coordinates of the acquisition position and detection direction automatically. Three series elastic joints can not only simulate the TCM pulse taking method that "Three fingers in a straight line, the middle finger determining the 'Guan' location and finger pulp pressing on the radial artery," but also simultaneously carry out the force-controlled multi-gradient pressing process. In terms of pulse information integrity, this proposed protocol can generate rich pulse information, including basic individual information, pulse localization distribution, multi-gradient dynamic pulse force time series, and objective pulse parameters, which can help establish the fundamental data sets that are required as the pulse phenotype for subsequent comprehensive analysis of pulse diagnosis. The implementation of this scheme is beneficial to promote the standardization of the digitalized collection of pulse information, the effectiveness of detecting abnormal health status, and the promotion of the fundamental and clinical research of TCM, such as TCM pulse phenomics.

Indexed as

Automatic visual localizationBionic pulse diagnosis equipmentDigitalized pulse taking processMulti-gradient pre-pressurePulse phenotypeTraditional Chinese Medicine pulse information

Identifiers

PMID37881314
PMCPMC10593717
OpenAlexW4385366492

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.