• Sleep Medicine and Psychophysiology
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• v.12 no.1
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• pp.50-57
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• 2005

Objectives: This study was designed to evaluate the differences in clinical characteristics and severity of symptoms between panic patients with and without comorbid major depressive disorder, and to ascertain the differences in the function of the autonomic nerve system measured by heart rate variability (HRV). Methods: The subjects were 60 patients who have panic disorder without major depressive disorder and 19 patients who met DSMIV criteria for both panic disorder and major depressive disorder. First, they drew up symptom checklists and self-rating scales, and were measured by Anxiety Disorder Inventory Schedule-Panic Attack & Agoraphobia (ADIS-P&A), Clinical Global Impression (CGI), Hamilton Rating Scale for Depression (HAM-D), Panic Disorder Severity Scale (PDSS) and Heart Rate Variability (HRV). For statistical analysis, we performed t-test to compare the scores of self reported scales and clinician’s rating scales in panic patients with comorbid major depressive disorder and those without major depressive disorder. ANCOVA was used to compare the variables of HRV, considering age as a covariate. Results: The subjective severities of depression and anxiety that comorbid patients complained of were higher than those of patients with only panic disorder. Futhermore, comorbid patients were more sensitive to anxiety and physical sensations, and they tend to be more negative in their thinking. The scores of clinician-rating scales such as CGI and PDSS were also higher in the comorbid patients. However, there were no significant differences in HRV variables between both groups, despite a tendency to low heart rate variability in the comorbid group. Conclusion: This study suggests that patients with panic disorder and comorbid major depressive disorder tend to complain of more symptoms and to be more sensitive to various symptoms than those with panic disorder without comorbid depression. However, in this study comorbid major depressive disorder did not have a significant impact on the HRV variables of patients with panic disorder.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.2B
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• pp.232-243
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• 2010

In this paper, various physiological signals of humans were measured and analyzed to inference their psychological state and biological information, and Bio-Signal Context aware system (BSC), which recognizes the current context of its users as well as the information of exterior environment and offers the service appropriate for them, was designed and implemented. The BSC extracts and analyzes the features from bio-signals, such as the measured electroencephalogram (EEG), electrocardiogram (ECG), and galvanic skin response (GSR), with its different sensors, has the input of the analyzed results, and discriminates four psychological states of rest, concentration, tension and melancholy. In addition to the results of the discriminated psychological states, the information of biological condition analyzed from the user's bio-signals, for example, heart rate variability (HRV), Galvanic skin response (GSR) and body temperature, and the information of external environment related to the user's are collected to offer the service fit for the user's present biological condition by inferring and recognizing the user's present situation.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.17-23
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• 2011

In this paper, daily life stress monitoring system is proposed. The proposed wireless ECG module, reducing the noise and increasing the size of signal, amplification circuit was designed for. Using HRV(Heart Rate Variability), extracted by measuring R-wave, stress diagnostic algorithms to assess the stress of human emotion were developed. For monitoring the activities, the proposed system is consist of small rectangular size for portable and by simple measurement it is possible to measure at any time. Through experiments, the proposed approach to represent user's stress level can be confirmed. Through that, it can see appropriate structure to obtain R-wave for stress assess as well as high resemblance to the clinical electrocardiogram. In this paper, performed experiments was developed nonrestraint measuring and wearable wireless biometric scanner that is able to monitor the heart's electrical activity of everyday life.Using this, the algorithm system, that is able to assess stress index through time-domain and frequency-domain analysis of the front and the rear of performing stress load protocol, was developed,

• Korean Journal of Psychosomatic Medicine
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• v.19 no.2
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• pp.74-82
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• 2011

Objective:The aim of this study was to evaluate the relationship between sustained attention deficits in Attention-Deficit/Hyperactivity Disorder(ADHD) children and short-term Heart Rate Variability(HRV) parameters. In addition, we evaluate the relationship between The ADHD rating scale(ARS), the computerized ADHD diagnostic system(ADS) and Parenting stress index- short form(PSI-SF). Methods:This study was performed in the department of children and Adolescent psychiatry, Korea university Guro hospital from august 2008 to January 2009. We evaluated HRV parameters by short-term recordings of 5 minutes. K-ARS and ADS are used for screening and identifying ADHD children. Intelligence was measured using Korean educational Developmental Institute-wechsler Intelligence Scale for Children. The caregivers Complete Parenting Stress Index scale for evaluation parent stress. Results:The low frequency(LF) was significantly correlated with response variability of ADS. However, the other variables of ARS and ADS were not significantly correlated with LF. Hyperactivity subscale of ARS was significantly correlated with parental distress subscale and difficult child subscale of PSI-SF and inattention subscale of ARS was also significantly correlated with dysfunctional interaction and difficult child subscale of PSI-SF. Conclusion:The LF, 0.10-Hz component of HRV is known to measure effort allocation. This study shows that the LF component of HRV is significantly correlated with the response variability of ADS. This means that more severe symptoms of ADHD were correlated with the increase in the LF that means decreased effort allocation. These results also support the clinical usability of HRV in the assessment of ADHD. Furthermore, PSI-SF is correlated with hyperactivity and inattention variables of ARS.

• The Journal of Korean Obstetrics and Gynecology
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• v.26 no.4
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• pp.94-106
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• 2013

Objectives: The purpose of this study is to find the effect of Far Infrared Radiation (FIR) about improvement of chief complaints and health state. Methods: For this study we evaluated thermographic images, heart rate variability (HRV), visual analogue scale (VAS) score of 34 patients with various diseases. Tests were done two times, before and after treatments and we compared the test results. We used the temperature difference between CV12 and CV4, both sides of PC8, LR3 for recognizing improvement of blood circulation. We analyzed the change of complexity, stability of autonomic nervous system (ANS) by HRV test. The patients were asked to fill out questionnaire about the severity of symptoms by VAS score. Analyses were undertaken using SPSS ver.12.0.1 and p-value of < 0.05 was considered significant. Results: Statistical analysis shows that Far Infrared Radiation (FIR) had significant efficiency in increasing surface temperature and reducing VAS pain scores. In heart rate variability (HRV) test, LF/HF ratio showed tends to improve. Conclusions: The application of an FIR to whole body appears to alleviate various complaints of patients.

• Journal of Oriental Neuropsychiatry
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• v.13 no.1
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• pp.19-37
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• 2002

Objectives : This study sought to define autonomic functional difference on heart rate variability between headache patients and normal subjects Methods : We determined, heart rate variability of 52 headache patients and 30 normal subjects by means of three time domain measures: Mean PR(mean pulse rate), SDNN(standard deviation of all normal R-R intervals), RMSSD(the square root of the mean of sum of the squares of differences between adjacent normal R-R intervals), and five frequency domain measures: TP(total power), VLF(very low frequency), LF(low frequency), HF(high frequency). Results : 1) RMSSD, TP, HF, HF Norm of HRV decreased with aging and LF Norm, LF/HF increased with aging in headache patients. 2) There was no significant differences between migraine and tention headache in any standard index of HRV, whereas, HRV of total headache patients were smaller than those of normal subjects. 3) In the gender comparison, SDNN, RMSSD, HF of tention headache patients were the smallest and then migraine patients, normal subjects in order with man, whereas, LF Norm, LF/HF of normal subjects were the smallest with man. RMSSD of migraine patients were the smallest and then tention headache patients, normal subjects in order with women. 4) In the term of history of headache patients, SDNN, RMSSD were getting lower as long term. 5) There was no significant differences of HRV in physical symptom of headache patients. Conclusions : All of these results show that standard index of HRV of headache patients were significantly different with normal subjects.

• Journal of Oriental Neuropsychiatry
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• v.19 no.3
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• pp.35-44
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• 2008

Objective: There are many meditation methods used in clinical field. But the effect of meditation may be different to people's mind, and meditation itself. Now we investigate this subject with two different meditation methods which has been analyzed by heart rate variability. Method: We tried to check people's heart rate who educated meditation, before educated and during the meditation. The meditation was educated differently for each group. One is the auto genes traning, and the other is the imaginary meditation by thinking about eating and smelling favorite fruits. All of them are used to oriental psychiatry clinic patients. And we simultaneously conduct people's emotional state by SCL-90-R. Result: The result in Autogene traning group has significant difference in total power and HRV-index score between before and during the training but in imaginary meditation group has no significance: Autogene traning group has a significance in low frequency score and has increased tendency with increasing tendency of Heart rate index and Total power. Through the SCL-90-R score, the higher depression t-score, the anxiety t-score, and the hostility score is, the HRV scores such as total power, low frequency, and HRV-index much increase. and so on. Conclusion: We can guess that the Autogenes training has more significant effect than the imaginary meditation. And we can also guess that as the emotional problem is getting more severe, the effect of meditation would be much better. And we finally suggest that we should make a standard guideline of imaginary meditation, cause the imaginary meditation has so many variation.

• Journal of Acupuncture Research
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• v.25 no.6
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• pp.35-46
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• 2008

Objectives : Chronic pain affects and is affected by physical and psychosocial factors. It also has a complicated and indefinite mechanism. This research is for clarifying relations with chronic pain, stress, and autonomic nerve system by comparing HRV and Stress Reaction Index(SRI) of chronic pain patients with those of acute pain patients. Methods : The subjects were 32 patients who visited Kangnam Kyunghee Hospital for nuchal pain or low back pain treatment from March 2008 to September 2008. Among them, 16 patients who suffered over 6 months are classified chronic pain group and 16 patients who suffered under 6 months as acute pain group. All subjects had their HRV(SA-2000E: Medicore Co..Ltd. Korea) and SRI measured at first visit. We studied the difference of HRV between two groups.(Statistics by Student t-test, p<0.05) Results : R-MSSD, TP, VLF, LF, HF and LF/HF ratio of the chronic pain group were significantly lower than those of the acute pain group. Compared with those of the acute pain group, total SRI of the chronic pain group were low but it's not significant except frustration. Conclusion : The results of HRV of the chronic pain group patients show that chronic pain is related to psychosocial factor and autonomic disturbance.

• Korean Journal of Oriental Medicine
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• v.13 no.3
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• pp.97-103
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• 2007

The object of this study is to evaluate confounding effect of sleeping behavior on heart rate variability (HRV) in healthy volunteers during a randomized clinical trial. From 6 healthy volunteer, we acquired circadian electrocardiography(ECG) with a Holter monitoring device(DigiTrak Plus, Philips). The compatible analytical program, Zymed, was used for calculation of RR intervals of 24h ECG signal. Then, we generated HRV signals and calculated 9 HRV parameters in time domain and frequency domain for every 30 minute with Matlab 6.x software. We also encoded participants' activities as follows; stable condition(1), sleeping behavior(2), eating behavior(3), and undefined condition(4). Using SPSS 12.0, we tested if there was any difference between HRV parameters of day-time and night-time and between those of a subject in stable condition and in sleeping behavior. As a result, one of the most important parameter-LF/HF ratio, which indicates the autonomic balance between sympathetic and parasympathetic nervous systems, as same the other parameters, showed large inter-individual variations in circadian profiles. And, the mean LF/HF ratio of each participant was different between in stable condition and in sleeping behavior (p<.05). Consequently, the effect of sleeping behavior must be considered when one or more of HRV parameters, especially LF/HF ratio, are used as assessment index in clinical studies.

• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.11-26
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• 2009

In order to diagnose cardiovascular disease, we proposed EP-based(emerging pattern- based) classification technique using multi-parametric diagnosis indexes. We analyzed linear/nonlinear features of HRV for three recumbent postures and extracted four diagnosis indexes from ST-segments to apply the multi-parametric diagnosis indexes. In this paper, classification model using essential emerging patterns for diagnosing disease was applied. This classification technique discovers disease patterns of patient group and these emerging patterns are frequent in patients with cardiovascular disease but are not frequent in the normal group. To evaluate proposed classification algorithm, 120 patients with AP (angina pectrois), 13 patients with ACS(acute coronary syndrome) and 128 normal people data were used. As a result of classification, when multi-parametric indexes were used, the percent accuracy in classifying three groups was turned out to be about 88.3%.