NCT04799756|Unknown
Pulse Diagnosis of Traditional Chinese Medicine
To Develop Pulse Diagnosis of Traditional Chinese Medicine by Deep Learning.
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To Develop Pulse Diagnosis of Traditional Chinese Medicine by Deep Learning.
Sponsor study identifier
observational
100
1 country
1
Study Start
February 17, 2021
Actual (reported)Primary Completion
May 5, 2021
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
January 5, 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Taking pulse as a disease diagnosis process has a long history in traditional Chinese medicine (TCM). Ancient physicians used the common attributes of pulse conditions and finger-feeling characteristics as a basis for pulse classification, which " position, rate, shape and tendency " is the principle for pulse differentiation. However, it is not easy to express feelings of hands in a scientific way and not easy for clinical teaching and practice. To develope a new direction of pulse diagnosis in TCM by deep learning and integrative time-frequency domain analysis maybe can be solved the problem.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
January 5, 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
February 17, 2021
Actual (reported)March 14, 2021
Actual (reported)March 16, 2021
Actual (reported)May 5, 2021
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
January 5, 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
"Skylark" Pulse Analysis System
That is, after measuring the pulse waves at different positions and depths of the bilateral radial arteries, by using the pulse diagnostic instrument, to initial signal processing and to get a single pulse. Then Fourier transformation is performed to obtain the magnitude and phase parameters of the 12 harmonics (24 variables in total), and then extract 7 time-domain characteristic parameters of a single pulse. The next step to perform Fourier transformation again using the 6-second pulse waves to obtain high and low frequency spectrum by using above parameters. The feature parameters obtained by the above two analysis methods are simultaneously sent to the deep learning-convolution neuron network (CNN) training.
6 second
"Sub-healthy state" is defined as a condition where there is no illness but unhealthy. It causes abnormal psychological and physiological changes under internal and external environmental stimulation, but it has not yet reached the level of obvious pathological response.
Center for Traditional Medicine, Taipei Veterans General Hospital
Taipei, 112, Taiwan
Yen-Ying Yen-Ying, MD
Taipei Veterans General Hospital Center for Traditional Medicine
First Submitted
March 14, 2021
First Posted
March 16, 2021
Study Start
February 17, 2021
Actual (reported)Primary Completion
May 5, 2021
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Contact the study team to confirm eligibility.
Study Completion
January 5, 2022
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
April 30, 2021
Record last verified: 2021-04
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