• Title/Summary/Keyword: Convergence HRV

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Biolagical Activity on Extracts of Japanese Anise(Illicium Anisatum L.) Leaves and Twigs (붓순나무 잎과 가지의 추출물에 대한 생리활성 평가)

  • Shinn, Seong-Whan
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.3
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    • pp.311-316
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    • 2019
  • Japanese anise (Illicium anisatum L.) leaves and twigs were extracted with 50 % aqueous acetone three times. After filtration, the extracts were fractionated with n-hexane, chloroform, ethyl acetate and $H_2O$, and then freeze dried after condensation. Then antioxidation and antiviral activity were evaluated on each fractions. In the antioxidative activities, the results indicated high activity in the EtOAc soluble fraction of the leaves and the EtOAc and $H_2O$ soluble fractions of the twigs. It showed much higher antioxidative value compare to the controls, BHT and ${\alpha}$-tocopherol. In the antiviral activities, the all fractions were negative effects in HRV 1B and EV 71, but good in Influenza PR8. The activities of the crude extracts of the leaves and twigs showed more than 80% activity at the concentration of $10{\mu}g/mL$ and $50{\mu}g/mL$, respectively, and the activities of the EtOAc and $H_2O$ soluble fractions were close to 80%. Based on the above results, the extracts of Japanese anise may be applied for one of the natural biomass sources that can be used as an antioxidant and an antiviral substance.

A Prospective Observational Study of Herbal Medicines on Depressive Disorder (우울장애 한약치료에 대한 전향적 관찰연구)

  • Kim, Ju Yeon;Kim, Hwan;Lee, Ji-Yoon;Jung, Jin-Hyeong;Yang, Changsop;Lee, Mi-Young;Jung, In Chul
    • Journal of Oriental Neuropsychiatry
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    • v.31 no.2
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    • pp.63-76
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    • 2020
  • Objectives: The purpose of this study was to verify the clinical effects of herbal medicines on patients with depressive disorder. Methods: A prospective observational study on patients with depressive disorder was conducted. The patients were treated with herbal medicines for eight weeks. The Korean Hamilton Depression Rating Scale (K-HDRS) was evaluated as the primary outcome and the Korean Beck's Depression Inventory (K-BDI), Instrument on Pattern Identification for Depression, Korean Symptom Checklist-95 (KSCL-95), Insomnia Severity Index (ISI), Korean State-Trait Anxiety Inventory (STAI-K), Korean State-Trait Anger Expression Inventory (STAXI-K), EuroQol five-dimensional Questionnaire (EQ-5D), Minnesota Multiphasic Personality Inventory-2 (MMPI-2), Heart Rate Variability (HRV) were measured as the secondary outcome. Adverse events were assessed for safety. Results: A total of 35 participants were observed for 12 weeks. The K-HDRS improved significantly in four, eight, and 12 weeks and the K-BDI showed significant differences in four, and eight weeks. There were no significant improvements in other evaluation scales. Gyejibongnyeong-hwan was the most frequently and continuously prescribed, showing significant improvements of K-HDRS after eight weeks of treatment. Conclusions: In our observational study, herbal medicine was effective for relieving the depression of patients with depressive disorder and Gyejibongnyeong-hwan showed the most significant effectiveness.

Heart rate monitoring and predictability of diabetes using ballistocardiogram(pilot study) (심탄도를 이용한 연속적인 심박수 모니터링 및 당뇨 예측 가능성 연구(파일럿연구))

  • Choi, Sang-Ki;Lee, Geo-Lyong
    • Journal of Digital Convergence
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    • v.18 no.8
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    • pp.231-242
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    • 2020
  • The thesis presents a system that continuously collects the human body's physiological vital information at rest with sensors and ICT information technology and predicts diabetes using the collected information. it shows the artificial neural network machine learning method and essential basic variable values. The study method analyzed the correlation between heart rate measurements of BCG and ECG sensors in 20 DM- and 15 DM+ subjects. Artificial Neural Network (ANN) machine learning program was used to predictability of diabetes. The input variables are time domain information of HRV, heart rate, heart rate variability, respiration rate, stroke volume, minimum blood pressure, highest blood pressure, age, and sex. ANN machine learning prediction accuracy is 99.53%. Thesis needs continuous research such as diabetic prediction model by BMI information, predicting cardiac dysfunction, and sleep disorder analysis model using ANN machine learning.

Objective Evidence for the Effectiveness of Single-session Treatment with a Spinal Thermal Massage Device: A Pilot Study (척추온열마사지기기의 1회 치료의 효과에 대한 객관적 증거: 선행 연구)

  • Na, Yeong-Il;Kim, Si-Yun;Baek, Seung-Min;Lee, Jong-Hoo
    • Journal of Industrial Convergence
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    • v.20 no.10
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    • pp.209-218
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    • 2022
  • Individuals often report significant relief from pain and stress even after a single session of massage therapy; however, no previous studies have provided objective evidence supporting the effectiveness of a solitary massage therapy session. In the present study, we aimed to investigate the effectiveness of one-time treatment with a spinal thermal massage device reported to exert the same therapeutic effects as massage therapy in terms of pain reduction and stress relief. A man with chronic low back pain (LBP) underwent two rounds of experiments involving spinal massage treatment and bed rest, respectively. Pain was assessed using a visual analog scale, and heart rate variability (HRV) was measured in real-time to examine autonomic nervous system (ANS) activity. Blood samples were obtained at five points during each round of the experiment to examine changes in cortisol, epinephrine, and norepinephrine. Spinal massage significantly reduced pain and enhanced parasympathetic activity when compared with the bed rest condition. In addition, both epinephrine and norepinephrine levels were lower following spinal massage than following bed rest. These results are consistent with the reported effects of conventional massage therapy and support the effectiveness of one-time treatment using a spinal thermal massage device.