• Title/Summary/Keyword: Pulse Diagnostic Support

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An investigative report on the clinical use of traditional diagnosis modalities among Korean Medicine Doctors (현직 한의사의 한의진단 현황 조사 보고)

  • Jang, Jaesoon;Cho, Seungmo;Kim, Kiwang
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.17 no.2
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    • pp.156-168
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    • 2013
  • Objectives Although there have been someone who pointed out declining tendency of pure traditional diagnosis, there are no objective survey results on present state of diagnosis among Korean Medicine Doctors (KMDs). So we did a descriptive survey study to show traditional diagnostic modality usage among them. Materials and methods: 73 samples of responded questionnaire in Busan area were collected and descriptively studied. Results (1) U code (in KCD-6) usage showed low level (28.7%). (2) Diagnostic apparatuses for traditional medicine are rarely used. For example, pulse diagnosis machine was reported to be used only by 9.7 % of KMDs. (3) KMDs still prefer the treatment based on pattern identification and symptomatic therapy rather than treatments based on disease identification of modern biomedicine. Conclusion Overall, the portion of pattern identification is still high among KMDs, some kind of diagnostic methods which support pattern identification showed lack of usage.

Design and Implementation of Pulse Monitoring System for U-Healthcare (U-Healthcare 지원을 위한 맥박 정보 모니터링 시스템의 설계 및 구현)

  • Kwon, Ki-Hyeon;Lee, Hyung-Bong
    • Journal of Digital Contents Society
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    • v.9 no.4
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    • pp.601-606
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    • 2008
  • U-Healthcare is one of the major applications in ubiquitous sensor network. U-Healthcare has potential to become a critical service for the people who immediately require emergency ambulatory attention. This paper describes about the real time pulse monitoring and reporting system, consisting of two components: thus, the one is a reliable bio-sensor that continuously monitors the pulse information of the subject, and the other is the automatic transfer system that transmits pulse information to both his/her family and hospital care system through the Base Station. In the hospital, this bio-information can be used to treat the patient accordingly. I designed the pulse information monitored by a bio-sensor module that transfers the pulse information to both the Base Station and the central monitoring system through transmitting protocols such as Zigbee and TCP/IP, as well as designed the architecture of information packets for the corresponding protocols. Furthermore, the central monitoring system automatically parses the pulse information of the subject into the web database server, which can continuously provides the real time information and status of the subject via an internet browser to the clients who are family members of the subject and the authenticated medical care personnel as well.

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An Example of Test on Differences of Pulse Waveform Characteristics at Cun, Guan and Chi (촌, 관, 척 위치의 맥파 특징 차이 검정에 대한 1례)

  • Lee, Jeon;Lee, Yu-Jung;Jeon, Young-Ju;Lee, Hae-Jung;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Korean Journal of Oriental Medicine
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    • v.14 no.2
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    • pp.107-112
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    • 2008
  • Although the pulse diagnosis position, Guan is apart from Cun or Chi by only $10{\sim}20$ mm at most, traditional medical doctors applies different indent pressures and even they states different pulse images are felt at Cun, Guan and Chi, To support their clinical behaviors, in this study, we tested statistically whether there are differences in pulse waveform measured at these three positions with SphygmoCor system used world widely, A 30 years old female subject without any evidence of cardiovascular diseases was involved in this experiment. Radial pulse waves were recorded at three different positions on left lower arm 10 times at three positions-Cun, Guan and Chi. With ANOVA, we tested whether, among three different positions. there are any differences in 12 parameters of radial pulse waveform and in estimated AIx(Augmentation Index) as an arterial stiffness index extracted from radial pulse waveform. As results, differences in optimal indent pressure h0 were observed at different measuring positions(P<0.001) but not significantly different. And pulse pressure his were found to be different(Chi$22.60{\pm}3.06%,\;18.60{\pm}3.37%\;and\;26.4{\pm}5.02%$ respectively. Consequently. AIx at Gwan seems to be lowest and that at Chi seems to be highest. So. we assert the AIx at Chi is likely to be overestimated. In further studies. we want to examine what make differences in these parameters between measuring positions. And it also seems to be worthy to investigate the relationship between the depth of radial artery and AIx. And, ultimately, we need to determine the best measuring process including measuring position, hold-down pressure, signal quality validation and so on. so to achieve the optimal waveform which represents subject's health condition for both western medicine and traditional medicine.

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Differences of Cold-heat Patterns between Healthy and Disease Group (건강군과 질환군의 한열지표 차이에 관한 고찰)

  • Kim Ji-Eun;Lee Seung-Gi;Ryu Hwa-Seung;Park Kyung-Mo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.1
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    • pp.224-228
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    • 2006
  • The pattern identification of exterior-interior syndrome and cold-heat syndrome is one of the diagnostic methods using most frequently in Oriental medicine. There was no systematic studies analyzing the characteristics of the 'exterior-interior and cold-heat' between healthy and disease group. In this study, cold-heat pattern, blood pressure, pulse rate, height and weight are recorded from 100 healthy subjects and 196 disease subjects with age ranging from 30 to 59 years. To analyze the differences between healthy and disease group, we used the descriptive statistics. And linear regression function, linear support vector machine and bayesian classifier were used for distinguishing healthy group from disease group. The score of both exterior-heat and interior-cold in healthy group is higher than the score in disease group. This means that if one belongs to the disease group, his(or her) exterior gets cold and his interior gets hot. And also, these result have no relevance to age. But, the attempt to classify healthy group from disease group with a exterior-interior and cold-heat and other vital signs did not have good performance. It mean that even though they have a different trend each other, only these kinds of information couldn't classify healthy group and disease group.