Loading search results
YCFR
With Different Frequency Electric Signals Study the Frequency Response of the Foot-Yangming Stomach Channel: Zu-San-Li and Xian-Gu
Sponsor study identifier
observational
30
1 country
1
Study Start
May 2011
Date type not reportedThis date has not been verified as actual or estimated.
Primary Completion
Not reported
Date not reportedStudy Completion
Not reported
Date not reportedThe main purpose of this study is to detect the frequency response in the electric wave transmission through the channels inside human body. With the electric signals in different frequencies, analyzed by the digital signal processing technique, the adaptability of the channel for different frequencies may be revealed. With this study there will be a feasible connection between the physiological signals and the channel theory in Chinese medicine, and the basis of the physiological signals can be drew out for the description of the internal organs, the strong or weak, the truth or falsity. The Zu-San-Li is the open acupoint on foot-Yangming channel, the stomach channel. Qi, the main concept in TCM, will flow from the open acupoint to go into deep internal organs. Xian-Gu is another Yu acupoint on foot-Yangming channel. The inborn original Qi flows from the Yu acupoint infuse into blood vessels. So in this study the investigators will take these two acupoints for the acupuncture. Since the direction of the channel is from Zu-San-Li to Xian-Gu, the investigators pick Zu-San-Li as the input and Xian-Gu the output for the electrical signals. For this experiment, the investigators planned enrolling 30 male sub-healthy volunteers, aged in 20-35 years old, to finish the whole experiment procedures. After the acupuncture, the electric signals of different modes will be input from the subject's open acupoint (Zu-San-Li), and measure the frequency respond voltage from the output acupoint (Xian-Gu). Each subject must complete the acupuncture of Zu-San-Li and Xian-Gu, and be input 5 sets of the electric signals of different modes two times on the trial. The variety conditions of the wave form and electric voltage will be recorded and measured respectively. The investigators plan to obtain the data in six months, and complete the data analysis and sorting in two months.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
Not reported
Date not reportedClick on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
May 2011
Date type not reportedThis date has not been verified as actual or estimated.
May 26, 2011
Actual (reported)May 30, 2011
Actual (reported)community sample
China Medical University
Taichung, 40402, Taiwan
Dhond RP, Yeh C, Park K, Kettner N, Napadow V. Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain. 2008 Jun;136(3):407-418. doi: 10.1016/j.pain.2008.01.011. Epub 2008 Mar 11.
Sakai S, Hori E, Umeno K, Kitabayashi N, Ono T, Nishijo H. Specific acupuncture sensation correlates with EEGs and autonomic changes in human subjects. Auton Neurosci. 2007 May 30;133(2):158-69. doi: 10.1016/j.autneu.2007.01.001. Epub 2007 Feb 22.
Fun-jou Chen, Prof.
China Medical University, China
First Submitted
May 26, 2011
First Posted
May 30, 2011
Study Start
May 2011
Date type not reportedThis date has not been verified as actual or estimated.
Last Updated
May 30, 2011
Record last verified: 2011-05
Download the complete ClinicalTrials.gov record imported by Syfrah, including fields not shown in this page. The registry may contain a newer revision.
Source: ClinicalTrials.gov.
JSON downloads include source attribution and retrieval details alongside the unchanged original record or the separately normalized values.
Source retrieved:
Contact the study team to confirm eligibility.
Streitberger K, Steppan J, Maier C, Hill H, Backs J, Plaschke K. Effects of verum acupuncture compared to placebo acupuncture on quantitative EEG and heart rate variability in healthy volunteers. J Altern Complement Med. 2008 Jun;14(5):505-13. doi: 10.1089/acm.2007.0552.
Napadow V, Dhond RP, Purdon P, Kettner N, Makris N, Kwong KK, Hui KK. Correlating acupuncture FMRI in the human brainstem with heart rate variability. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4496-9. doi: 10.1109/IEMBS.2005.1615466.
Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J. 1996 Mar;17(3):354-81. No abstract available.
Guzzetti S, Piccaluga E, Casati R, Cerutti S, Lombardi F, Pagani M, Malliani A. Sympathetic predominance in essential hypertension: a study employing spectral analysis of heart rate variability. J Hypertens. 1988 Sep;6(9):711-7. doi: 10.1097/00004872-198809000-00004.
Lishner M, Akselrod S, Avi VM, Oz O, Divon M, Ravid M. Spectral analysis of heart rate fluctuations. A non-invasive, sensitive method for the early diagnosis of autonomic neuropathy in diabetes mellitus. J Auton Nerv Syst. 1987 May;19(2):119-25. doi: 10.1016/0165-1838(87)90005-1.
Axelrod S, Lishner M, Oz O, Bernheim J, Ravid M. Spectral analysis of fluctuations in heart rate: an objective evaluation of autonomic nervous control in chronic renal failure. Nephron. 1987;45(3):202-6. doi: 10.1159/000184117.
Buchman TG, Stein PK, Goldstein B. Heart rate variability in critical illness and critical care. Curr Opin Crit Care. 2002 Aug;8(4):311-5. doi: 10.1097/00075198-200208000-00007.
Cashion AK, Holmes SL, Arheart KL, Acchiardo SR, Hathaway DK. Heart rate variability and mortality in patients with end stage renal disease. Nephrol Nurs J. 2005 Mar-Apr;32(2):173-84.
Ryan C, Hollenberg M, Harvey DB, Gwynn R. Impaired parasympathetic responses in patients after myocardial infarction. Am J Cardiol. 1976 Jun;37(7):1013-8. doi: 10.1016/0002-9149(76)90417-3.