An observational study in Suboptimal Health Status, sponsored by Taipei Veterans General Hospital, Taiwan. Status unknown at 1 site in Taiwan. Open to participants aged 20 Years to 70 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-08-31.
Sponsored by Taipei Veterans General Hospital, Taiwan · Observational
Traditional Chinese medicine has a long history of disease diagnosis applications by pulse diagnosis. The pulse "position", "number", "shape", and "momentum" can be used as four guidelines for pulse classification. However, the finger feeling is difficult to be expressed in a quantitative approach for clinical teaching and illness-state recognition. The pressure sensor was applied to measure wrist pulse waveforms for analysis. In this research project, the "discrete wavelet transformation (DWT)" is used to decompose the time-domain pulse into several sets of signals, which are allocated at different frequency bands. The high-frequency signal over the range of 12-50 Hz is then acquired to calculate the spectral energy ratio (SER) for quantization of the pulse momentum to the persons under the suboptimal health status (SHS).
Traditional Chinese medicine has a long history of disease diagnosis applications by pulse diagnosis. Ancient physicians classified the pulse types on the basis of pulse manifestation attributes and finger-feeling features. The pulse "position", "number", "shape", and "momentum" can be used as four guidelines for pulse classification. However, the finger feeling is difficult to be expressed in a quantitative approach for clinical teaching and illness-state recognition. The modernization of pulse diagnosis in Taiwan began in the 1970s. The pressure sensor was applied to measure wrist pulse waveforms for analysis. Nowadays, the pulse "position", "number", and "shape" have been quantitatively analyzed and classified by using time-domain pulse signals and their corresponding frequency spectrums. However, since it is lack of effective high-frequency pulse acquisition method and quantitative approach, the quantitative research on "pulse momentum" for judgement of pathological status is still being investigated.
In this research project, the "discrete wavelet transformation (DWT)" is used to decompose the time-domain pulse into several sets of signals, which are allocated at different frequency bands. The high-frequency signal over the range of 12-50 Hz is then acquired to calculate the spectral energy ratio (SER) for quantization of the pulse momentum. In addition, the approximate entropy (ApEn) of the high-frequency signal is computed and defined as a new quantitative factor of pulse momentum. It will be further tried to relate the scores of clinical questionnaires. The analysis method proposed in this project has been preliminarily applied to analyze the pulse waveforms of the persons under the suboptimal health status (SHS) to demonstrate the effectiveness. In the future, more measured pulses of the subject under test will be collected and analyzed to examine the robustness of the proposed method. It is also planned to figure out the relationship between the quantitative factors, such as SER and ApEn, and the high- and low-frequency parameters of the heart rate variability (HRV). It can be further linked to the activation of sympathetic and parasympathetic nerves, and potentially build up an objective bridge of clinical diagnosis to connect the traditional Chinese medicine and modern western medicine.
1,327 studies on the registry are indexed under Disease; 596 are open to participants now.
This study's planned enrollment of 100 is below the median of 210 across 573 observational studies indexed under Disease.
Browse Disease studies →Taipei Veterans General Hospital, Taiwan is the lead sponsor of 325 studies on the registry; 72 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Participants have no chronic disease or those who have been diagnosed as Sub-optimal health status by a doctor.
(A) Sub-Health Questionnaire (SHSQ-25) ≧35 points (B) Resting blood pressure 120-139/80-89 mmHg measured more than 3 times a week (C) The PSQI score of the sleep questionnaire on the first test is greater than 5 points (D) Body mass index (BMI): 24\~29 Kg/m2
Exclusion Criteria:
Considerations for selection/exclusion criteria include:
normal examination in recent six months and not fit inclusion criteria of suboptimal health status.
(A) Sub-Health Questionnaire (SHSQ-25) ≧35 points (B) Resting blood pressure 120-139/80-89 mmHg measured more than 3 times a week (C) The PSQI score of the sleep questionnaire on the first test is greater than 5 points (D) Body mass index (BMI): 24\~29 Kg/m2
Pulse diagnosis data analysis
Palpation of the 6 pulse positions (right cun, right guan, right chi, left cun, left guan, left chi) measured by the pulse diagnostic instrument are read into the processing program, and then the time domain signal of each pulse position is analyzed in sequence .
Time frame: 1 day
Suboptimal health status questionnaires
25 items of Suboptimal symptoms
Time frame: 1 day
This study is status unknown, as verified in Aug 2022. You cannot join it, but the record below documents what was studied.
Get an email when the registry record changes — status, dates, results — or when someone posts here.
Sign in to followQuestions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.
Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.
Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.
Taipei Veterans General Hospital, Taiwan