• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.3
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• pp.318-326
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• 2013

This study was performed to investigate relationship between each pattern identification and heart rate variability(HRV) indices. We analyzed 201 subjects who participated in stroke check up. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(FH), Yin Deficiency pattern(YD), Qi Deficiency pattern(QD) and Dampness-Phlegm pattern(DP) that based on Korean Standard Pattern Identifications for Stroke-III. We investigated significance of HRV indices between each pattern identification and heart rate variability indices. The total number of the subject group was 201, whereas the groups were divided into four groups; Fire-Heat pattern group(n=47), Yin Deficiency pattern(n=65), Qi Deficiency pattern(n=33), and Dampness-Phlegm pattern(n=56). SDNN, TP, Ln(TP), VLF, Ln(VLF), LF, Ln(LF) and HF were significantly higher in the Fire-Heat pattern(FH) group than other groups of pattern identifications, but there was no differences among the Yin Deficiency group, the Qi Deficiency group and the Dampness-Phlegm group. Ln(HF), LF(NORM), HF(NORM) and LF/HF ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. However, there was no significant differences among the Dampness-Phlegm group, the Yin Deficiency group, Fire-Heat group and the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and HRV indices. The result of this study demonstrates that sympathetic nerve was more active in the Fire-Heat group than other groups.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.3
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• pp.230-239
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• 2015

This study was performed to find a relationship between each pattern identification and vascular status using the second derivative of photoplethysmogram waveform(SDPTG) indices. We analyzed 200 subjects who participated in stroke preventive examination. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(火熱證; FH), Yin Deficiency pattern(陰虛證; YD), Qi Deficiency pattern(氣虛證; QD) and Dampness-Phlegm pattern(濕痰證; DP) that based on Korean Standard Pattern Identifications for Stroke-Ⅲ. We studied a relationship between each pattern identification and the SDPTG. The total number of the subject group was 200, whereas the groups were divided into four groups; Fire-Heat pattern group(n=49), Yin Deficiency pattern(n=57), Qi Deficiency pattern(n=45), and Dampness-Phlegm pattern(n=49). b/a ratio was related with age and systolic blood pressure, c/a ratio was associated with age, systolic blood pressure, fasting blood sugar and Total cholesterol, d/a ratio was affected with age, diastolic blood pressure, and hypertension, e/a ratio was related with age and sex and SDPTG AI was associated with age. c/a ratio and d/a ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. SDPTG AI was significantly higher in the Qi Deficiency group than in the Fire-Heat group. The Qi Deficiency group was significantly older than the Fire-Heat group and the number of hypertension patients was significantly more in the Fire-Heat group than in the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and the SDPTG indices.

• The Journal of Internal Korean Medicine
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• v.33 no.3
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• pp.284-297
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• 2012

Objectives : This study was performed to investigate characteristic indice of heart rate variability (HRV) according to presence of metabolic syndrome (MS), pattern identification. Methods : We analyzed 167 subjects who participated in a stroke check-up. We classified the subjects into two groups as MS (n=48) and non-MS (n=119) based on NCEP ATP III. First, we investigated pattern identification of all subjects based on Korean Standard Pattern Identifications for Stroke-III. Second, we surveyed significance of HRV indices between MS and non-MS groups. Third, we investigated significance of HRV indices between classified DP of MS and classified DP of non-MS. Fourth, we investigated significance of HRV indices between classified DP of MS and non-MS. Fifth, we investigated significance between components of MS and HRV indices. Results : 1. SDNN, RMS-SD, HF, Ln(HF), and HF (NORM) were significantly lower in the MS than non-MS group. LN (TP), LF/HF were significantly higher in the MS than non-MS. 2. Ln (HF), Ln (TP), and LF/HF were statistically significant in the classified DP of MS group. 3. RMS-SD, and Ln (HF) were significantly lower in the abdominal obesity group than in the non-abdominal obesity group. SDNN, RMS-SD, TP, Ln (TP), VLF, Ln (VLF), and Ln (LF) were significantly lower in the hypertension group than in the non-hypertension group. RMS-SD was significantly lower in the diabetes group than in the non-diabetes group. Mean HRT,LF/HF were significantly higher in the hypertriglyceridemia than non-hypertriglyceridemia group, but Ln (HF), RMS-SD, and HF (NORM) were significantly lower in the hypertriglyceridemia than non-hypertriglyceridemia group. Conclusions : We found a few significant relationships between classified DP of MS and HRV indices. The resluts demonstrate that MS has potentially negative effects on the cardiovascular system, and these effects could be detected by HRV.