Bioelectronics-mechanical Signals Analysis Scheme for CHAN DING Evaluation

• Main Authors: Sih-Huei Chen, 陳思慧
• Other Authors: King-Ming Chang
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/35988262615533010292

博士 === 亞洲大學 === 資訊工程學系 === 103 === Meditation is an interesting issue about body and mind health, such as pressure adjustment, emotions management, delaying old age, and blood pressure control. The main purpose of meditation practice is how to enter “Ding” (deepest serenity). The patriarch of Buddha Chan mentions three principles of entering “Ding”: sitting stably, relaxing, and focusing. Once a meditation practitioner reaches these principles at the same time, he/she will enter “Ding.” Therefore, the thesis will introduce and discuss the experiments of detecting body stability by tri-accelerometer, body and mind relaxing by Electrocardiography (ECG), and focusing by eye-blinking signal to testify the principles of entering “Ding.” First experiment is detecting body stability and relaxing. There are 26 undergraduate and graduate students joining it. The experiment group includes 13 people and their average age is 24.4. The control group includes 13 people and their average age is 19.7. During their 30 minutes meditation practice, we take the values in their frequencies of body shaking and heart rate variability (HRV) as the parameter to evaluate the body stability and relaxing. The result suggests that the average and the maximum body shaking values obviously differ from two groups during their 30 minutes practice and even differing per 10 minutes. The shaking values of the experiment group will be lower than the control one. It means that the latter will have higher shaking values than the former as time goes longer. Besides, the HRV parameter of the experiment group and the control group seem not to be obviously different per 5 minutes. LF between two groups obviously meets the difference (p<0.14) but HF does not. Second experiment is detecting focusing. There are 71 undergraduate and graduate students joining for 36 people of the experiment group, average age is 21.6; 35 people of the control group, average age is 19.4. We divide into three stages and each for 5 minutes in this experiment. The students will focus on the specific pictures and their eye-blinking times will be counted during the experiment. We take the eye-blinking times as the parameter of focusing. The result suggests that the eye-blinking times from the experiment group are all less than the control one in each stage (p<0.05). We therefore infer the people in the experiment group are better at focusing than the ones in the control group during daily meditation practices. The conclusion is detecting “body stability” by tri-accelerometers. Tri-accelerometer costs low and signals clearly with convenient wireless transmission. It can effectively display the difference of body shaking quantification parameters in between the experiment group and the control group. The result suggests that the experiment group (those practiced meditation for more than three years) evidently differs from the control group (those practiced meditation for less than a year) about their “body stability.” The body stability of the experiment group is better than the one of the control group. Another is detecting “relaxing” according to HRV. The HRV in either the experiment group or the control group seem not to have obvious difference within two groups. We infer that there are not enough people joining the experiment is why we cannot testify the HRV difference between two groups during their 30 minutes meditation practice. Last is detecting “focusing” according to eye-blinking signal. The signal is not easy to be interfered, so it can clearly indicate the eye-blinking movement. Through the signal, we can easily distinguish between the students of meditation practitioners and non-practitioners.