The lungs’ communication with their related acupuncture points
This data compliments a paper entitled: The lungs’ communication with their related acupuncture points. The paper fully describes and analyses the data. At the time of writing, the paper is still in production. Please see the links at the end of this dataset, which will be updated once the paper is published. A previous experiment (see links at end) determined that the tissue at stomach-related acupoints contains real-time physical patterns that reflect fine detail of the stomach’s function. The current experiment was intended to test if this phenomenon also existed at lung-related acupoints. The associated paper demonstrates that the impedance waves recorded at the lung-related acupoints contained a real-time reflection of the subject’s breathing pattern. This is consistent with Kovich’s intelligent tissue hypothesis. The analysis of the results also demonstrated that they were not due to artefact of any description, including the muscular activity of respiration, or bioelectrical signals, including those from the respiration pacesetter. Instead, the resultant waves did seem to represent pacesetter activity, though this appeared to originate from the lungs themselves, which is inconsistent with the current thinking concerning the respiration pacesetter. The results therefore also suggest that the current knowledge in this area is incomplete.
Steps to reproduce
The impedance at three lung-related acupoints was monitored in real time for 5 minutes (samples taken at the rate of 1000/s). The acupoints were bilateral Lung-1 (Zhongfu), Lung-6 (Kongzui), and right Lung-9 (Taiyuan). The subject’s breathing pattern was recorded throughout by placing a pair of thermistors beneath his nostrils, and temperature samples were taken at the rate of 1000/s. All acupoints were first located by an acupuncturist with 13 years experience in Chinese acupuncture, then the location of lowest impedance was verified electrically, and this was used as the test location. At each acupoint, a pair of custom-made electrodes were used, set at a distance of 6 mm apart, and a standard ECG electrode was attached at 4-10 cm from each acupoint, as an earth. Gel was used on each electrode. A 40 kHz 200 mv sine wave was passed through the electrodes, and the voltage monitored. A custom-made unit converted the monitored voltages to DC, then passed these to a data logger which sampled the voltages at 1 kHz. A DC voltage was passed through the thermistors via a simple voltage divider circuit, and the voltage across the thermistor was also passed to a data logger, sampling at 1 kHz. An Access database and macro was used to control both data loggers and convert the voltage samples into kΩ and Celsius values before they were imported into Matlab and filtered to produce the plots. Full details of all the techniques and equipment used can be found in the following documents. http://www.curiouspages.com/research/locate.pdf http://www.curiouspages.com/research/monitorImpedance.pdf http://www.curiouspages.com/research/monitoringTemperature3.pdf http://www.curiouspages.com/research/PicoGetSamples02.mdb The subject was a male, aged 34, with healthy lung function. The recordings were made on 13 July 2018, at 10:21 AM, and the room temperature was 26ºC. The subject was sat in a chair, relaxed. At 2 instances during the experiment, the subject held his breath, first for 12, then 25 s. The subject was instructed when to start this; he closed his eyes to indicate when he began holding his breath and opened them at the end, and these points were marked by the researcher clicking a software button. This produced 4 time values which are marked on the plots with vertical dashed lines.