• Title/Summary/Keyword: Heartbeat

Search Result 177, Processing Time 0.03 seconds

PDGFC, MARK3 and BCL2 Polymorphisms are Associated with Left Ventricular Hypertrophy in Korean Population

  • Jeon, Tae-Eun;Jin, Hyun-Soek
    • Biomedical Science Letters
    • /
    • v.25 no.3
    • /
    • pp.237-246
    • /
    • 2019
  • Left ventricular hypertrophy (LVH) refers to the expansion and the enlarged myocardium due to the increased resistance to ejection from the left ventricle to the aorta and/or the periphery, or the long-term burden imposed by the blood increase. Hypertension is a major risk factor that accounts for more than 50% of the causes of cardiovascular disease. If hypertension endure in the long term, the myocardium responds to abnormal heartbeat in the heart. Therefore, the prevalence of left ventricular hypertrophy also increases. As a result of genome-wide association study (GWAS) analysis for European people, PDGFC, MARK3, and BCL2 were related to blood pressures. In this study, the genetic polymorphisms of PDGFC, MARK3, and BCL2 were extracted and selected based on Korean genomic and epidemiologic data, and then logistic regression analysis was performed on LVH. As a result, one SNP (rs9307953) in PDGFC gene, four SNPs (rs6575983, rs17679475, rs2273703 and rs10141388) in MARK3 gene and two SNPs (rs17756073 and rs17070739) in BCL2 gene were statistically significant. The rs6575983 of the MARK3 gene showed the highest significance level ($P=7.2{\times}10^{-3}$) among the SNPs and the relative risk of 1.08 (95% confidence interval: 1.06 to 1.45). These results suggest that the polymorphisms of PDGFC, MARK3, and BCL2 not only affect European blood pressures but also correlate with LVH in Korean. These results suggest that increased understanding of the genetic correlations of the pathogenesis of LVH.

Design of Arrhythmia Classification System Based on 1-D Convolutional Neural Networks (1차원 합성곱 신경망에 기반한 부정맥 분류 시스템의 설계)

  • Kim, Seong-Woo;Kim, In-Ju;Shin, Seung-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.24 no.1
    • /
    • pp.37-43
    • /
    • 2020
  • Recently, many researches have been actively to diagnose symptoms of heart disease using ECG signal, which is an electrical signal measuring heart status. In particular, the electrocardiogram signal can be used to monitor and diagnose arrhythmias that indicates an abnormal heart status. In this paper, we proposed 1-D convolutional neural network for arrhythmias classification systems. The proposed model consists of deep 11 layers which can learn to extract features and classify 5 types of arrhythmias. The simulation results over MIT-BIH arrhythmia database show that the learned neural network has more than 99% classification accuracy. It is analyzed that the more the number of convolutional kernels the network has, the more detailed characteristics of ECG signal resulted in better performance. Moreover, we implemented a practical application based on the proposed one to classify arrythmias in real-time.

CAB: Classifying Arrhythmias based on Imbalanced Sensor Data

  • Wang, Yilin;Sun, Le;Subramani, Sudha
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.7
    • /
    • pp.2304-2320
    • /
    • 2021
  • Intelligently detecting anomalies in health sensor data streams (e.g., Electrocardiogram, ECG) can improve the development of E-health industry. The physiological signals of patients are collected through sensors. Timely diagnosis and treatment save medical resources, promote physical health, and reduce complications. However, it is difficult to automatically classify the ECG data, as the features of ECGs are difficult to extract. And the volume of labeled ECG data is limited, which affects the classification performance. In this paper, we propose a Generative Adversarial Network (GAN)-based deep learning framework (called CAB) for heart arrhythmia classification. CAB focuses on improving the detection accuracy based on a small number of labeled samples. It is trained based on the class-imbalance ECG data. Augmenting ECG data by a GAN model eliminates the impact of data scarcity. After data augmentation, CAB classifies the ECG data by using a Bidirectional Long Short Term Memory Recurrent Neural Network (Bi-LSTM). Experiment results show a better performance of CAB compared with state-of-the-art methods. The overall classification accuracy of CAB is 99.71%. The F1-scores of classifying Normal beats (N), Supraventricular ectopic beats (S), Ventricular ectopic beats (V), Fusion beats (F) and Unclassifiable beats (Q) heartbeats are 99.86%, 97.66%, 99.05%, 98.57% and 99.88%, respectively. Unclassifiable beats (Q) heartbeats are 99.86%, 97.66%, 99.05%, 98.57% and 99.88%, respectively.

A Study on the Self-Authentication Method in Home Quarantine Equipment (자가격리장치에서의 본인 인증 방법에 관한 연구)

  • Kim, Joon-bae;Kang, Moon-sung
    • Journal of Advanced Navigation Technology
    • /
    • v.22 no.2
    • /
    • pp.173-178
    • /
    • 2018
  • In May 2015, the first case of Middle East Respiratory Syndrome occurred, leaving 186 patients, 38 deaths, and 16,693 quarantine patients. The government has carried out a monitoring of people in contact with the confirmed or suspected patients to prevent the spread of MERS infection. The management staff conducted monitoring of the quarantine subject twice a day during the 14-day period, to check compliance with isolation. However, as the number of people subject to isolation was increased explosively, such issues as the occurrence of residents occurred due to limitations of management personnel. Managers have also admitted that their home quarantine rules have become nominal when they checked the status of quarantine subject by using a call only two or three times a day, and that it is virtually impossible to control when the departees leave without permission. In this paper, home quarantine equipments and their means of authentication are proposed and verified. As a result of the verification, the proposed methods in this paper are expected to be used later as their own authentication method for home quarantine equipments.

A study on the maturation of cardiomyocytes by continuous supply of culture media (세포 배양액의 연속 공급기 제작을 통한 심근세포의 성숙개선에 관한 연구)

  • Kwon, WooJin;Kim, Geun Woo;Jeong, Unseon;Kim, Jongyun;Lee, Dong-Weon
    • Journal of Sensor Science and Technology
    • /
    • v.30 no.2
    • /
    • pp.109-113
    • /
    • 2021
  • In this study, an automated culture media replacement system was developed to analyze changes in the contraction characteristics of cardiomyocytes according to the state of the culture media. For the long-term storage of culture media, a Peltier refrigerator with a temperature of 5 to 8℃ was provided and a pH of 7.4 was maintained. The cell culture media of the cardiomyocytes was continuously replaced using interlocking pumps at a flow rate of 0.83 μl/h. The cardiomyocytes in which the culture media was replaced automatically demonstrated lower heartbeats per minute compared to samples in which there was no replacement. However, these cardiomyocytes moved more uniformly and produced greater displacement in one heartbeat cycle. It was observed that the sarcomere length of the cardiomyocytes increased due to the automated culture media replacement system. These cardiomyocytes were found to demonstrate better maturation compared to the control group. The maturation of cardiomyocytes was verified through staining images. The proposed automated culture media replacement system generates a uniform heart rate and improvements in contraction force. Based on the study, patient-specific drug toxicity assessments can be conducted using differentiated cardiomyocytes in induced pluripotent stem cells.

Automotive Safety and Convenience Service Using Bluetooth and Smartwatch (블루투스와 스마트워치를 활용한 자동차 안전 및 편의 서비스)

  • Park, Han-Saem;Im, Noh-Gan;Cho, Ji-Yeon;Lee, Jong-Bae;Lee, Seongsoo
    • Journal of IKEEE
    • /
    • v.24 no.4
    • /
    • pp.1188-1191
    • /
    • 2020
  • In this paper, automotive safety and convenience service is proposed based on bluetooth and smart watch. The proposed service performs accident detection, kidnapping detection, kid-left-alone-in-car detection, parking location recording, and smart key function. Conventional smartphone services often fails to precisely recognize accident and kidnapping situations since smartphone is located on the dashboard or in the bag. On the contrary, smartwatch recognizes accident and kidnapping situations more precisely since it is always worn on the wrist with hearbeat monitoring. The proposed service recognise various situations around drives and passengers using acceleration sensor, GPS sensor, heartbeat sensor and bluetooth link status. It also performs accident notice, sound recording, and other necessary actions. It also performs door opening, door closing, hazard light flickering, and other necessary actions using OBD-II connection to the vehicle.

Development of Real-time QRS-complex Detection Algorithm for Portable ECG Measurement Device (휴대용 심전도 측정장치를 위한 실시간 QRS-complex 검출 알고리즘 개발)

  • An, Hwi;Shim, Hyoung-Jin;Park, Jae-Soon;Lhm, Jong-Tae;Joung, Yeun-Ho
    • Journal of Biomedical Engineering Research
    • /
    • v.43 no.4
    • /
    • pp.280-289
    • /
    • 2022
  • In this paper, we present a QRS-complex detection algorithm to calculate an accurate heartbeat and clearly recognize irregular rhythm from ECG signals. The conventional Pan-Tompkins algorithm brings false QRS detection in the derivative when QRS and noise signals have similar instant variation. The proposed algorithm uses amplitude differences in 7 adjacent samples to detect QRS-complex which has the highest amplitude variation. The calculated amplitude is cubed to dominate QRS-complex and the moving average method is applied to diminish the noise signal's amplitude. Finally, a decision rule with a threshold value is applied to detect accurate QRS-complex. The calculated signals with Pan-Tompkins and proposed algorithms were compared by signal-to-noise ratio to evaluate the noise reduction degree. QRS-complex detection performance was confirmed by sensitivity and the positive predictive value(PPV). Normal ECG, muscle noise ECG, PVC, and atrial fibrillation signals were achieved which were measured from an ECG simulator. The signal-to-noise ratio difference between Pan-Tompkins and the proposed algorithm were 8.1, 8.5, 9.6, and 4.7, respectively. All ratio of the proposed algorithm is higher than the Pan-Tompkins values. It indicates that the proposed algorithm is more robust to noise than the Pan-Tompkins algorithm. The Pan-Tompkins algorithm and the proposed algorithm showed similar sensitivity and PPV at most waveforms. However, with a noisy atrial fibrillation signal, the PPV for QRS-complex has different values, 42% for the Pan-Tompkins algorithm and 100% for the proposed algorithm. It means that the proposed algorithm has superiority for QRS-complex detection in a noisy environment.

Effect of Thyroid Hormone on the Electrical Activity of Rabbit Heart (토끼심장의 전기적 활동에 대한 갑상선 호르몬의 영향)

  • Hong, Seong-Geun;Kwun, Jong-Kuk;Chung, Soon-Il
    • The Korean Journal of Physiology
    • /
    • v.20 no.1
    • /
    • pp.17-29
    • /
    • 1986
  • The present study was carried out to observe the effect of triiodothyronine on heart, one of the target organ of thyroid hormone. There are many reports that tachycardia, arrythmia, and agumentation of sodium, potassium pump activity are caused in hyperthyroid animal. To examine these cardiac positive chronotropic effects on sinoatrial (SA) node and atrial muscle, hyperthyroid state was induced experimentally by the injecion of 3,3',5-1-triiodothyronine $(T_3)$ in $3{\sim}6$ month-old rabbits. Then intracellular recordings by inserting glass microelectrode into cell were obtained in SA node and atrial muscle. The results can be summarized as follows : 1) Heartbeat was increased from $169.6{\pm}28.0\;to\;264.2{\pm}18.0$ beats per minute, while body weight was decreased to 68f of the initial body weight (Day 1). 2) In experimental group, the duration of action potential at 80% repolarization was decreased from $148.0{\pm}29.1\;to\;107{\pm}13.6msec$. This suggested the increase heartbeat. 3) The firing rate in hyperthyroid group markedly reduced under the 15 mM potassium Tyrode (p<0.005). 4) In hyperthyroid group, depolarization of atrial muscle cell was lowered significantly in 15 mM (p<0.05), 20 mM (p<0.05) potassium Tyrode solution. 5) Sodium-potassium pump activities in experimental group were higher than those in control group in both SA node (p<0. 1) and atrial muscle (p<0.025). 6) In lower concentration of $MnCl_2$, the excitability of SA node in hyperthyroid group was decreased more than that in control group. Effective inhibitory dose $(ID_{50})$ as 0.6 mM in hyperthyroid statd and 1.1 mM in control group.

  • PDF

The Development of the Smart Sensibility Mat with Kangaroo Mother Care (캥거루 케어를 반영한 스마트 감성 매트의 개발)

  • Cho, Soo-Min
    • Science of Emotion and Sensibility
    • /
    • v.20 no.2
    • /
    • pp.171-178
    • /
    • 2017
  • 'Smart Sensibility Mat (SSM)' was developed and manufactured for positive sensibility of newborn with fiber, digital, and sensibility technology to reflect features and advantages of kangaroo care. For tactile stimuli, the tube of the silicon material to provide a constant temperature of $32^{\circ}C$ was inserted into the mat and connected to the water-thermostat. To provide a uniform temperature throughout the mat, the fabric by the inserting conductive yarn was attached to the mat surface. After wrapping the mat with cotton pad, the polyurethane foam used as medicine in order to similar to the human skin was bonded to the surface of the mat. To provide the auditory stimuli of a level of 30dB with mother's heartbeat sounds and voice recorded in advance, the Bluetooth speaker was inserted into the mat. To investigate the effects of SSM, 10 newborns who born within two weeks were involved in this experiment. While the baby was lying on each of the general mat (GM) and SSM, the baby's physiological signals-heart rate, breathing rate, temperature- were measured and then, those were conducted t-test to examine the difference between the signals of SSM and GM. The results were as follows: heart rate (t=8.131, p<.001) and respiratory rate (t=7.227, p<.001) among the physiological signals of SSM decreased significantly than GM within the normal range. Temperature (t=1.062, p=0.292) at SSM showed a tendency to decrease than GM within the normal range. This means the tactile stimuli and the auditory stimuli providing from SSM give stable physiological responses. Thus, SSM leads to have psychological comfort and stability of newborns.

A Study on the Relations between Yangseng Level and Stress in Industrial Workers (근로자(勤勞者)의 양생수준(養生水準)과 스트레스와의 관계(關係))

  • Ahn, Hun-Mo;Kim, Sung-Sam;Kim, Wan-Gyeom;Yu, Ho-Dal;Chong, Myong-Soo;Lee, Ki-Nam
    • Journal of Society of Preventive Korean Medicine
    • /
    • v.11 no.1
    • /
    • pp.109-129
    • /
    • 2007
  • This study aims at grasping the relativity between laborers' yangseng level and stress so as to present the groundwork for preventive oriental medicine approach in industrial health. The researcher prepared the questionnaire on general character, health-related yangseng level and chose 632 people to execute Autonomic balance test through heartbeat change. The collected material was analyzed by SPSS and tested by T-test, ANOVA. The general yangseng level average is 3.27, morality yangseng 3.91, sleep yangseng 3.39, mind yangseng 3.32, sex life yangseng 3.29, exercise yangseng 3.14, activities and rest yangseng 3.07, diet yangseng 2.95, seasonal yangseng 2.84. The highest is morality yangseng and seasonal yangseng is the lowest. In the aspect of yangseng level : Having a spouse, Non-smoking, Non-drinking, Regular exercising, Sufficient sleeping have higher yanseng levels. In Autonomic balance test, age from 35 to 40 has the highest autonomic activity and job period from 5 years to 10 years has the highest stress resistance. Non-smokers have high autonomic activity and stress resistance. Further, have low autonomic balance, stress index and fatigue strength. In the case of regular exercising person, he/she has high autonomic activity and stress resistance with low stress index. Regarding sleeping time, autonomic balance is the highest when he/she sleeps less than 6 hours. Stress resistance is the highest when he/she sleeps 7 hours and stress index is the highest when he/she sleeps 6 hours. After comparing the relativity between yangseng level autonomic balance test, only exercise yangseng has plus factor on autonomic activity and stress resistance and minus factor on stress ind ex and fatigue strength. Yangseng level has been affected by individual character and daily habits. Also stress is more influenced by daily habits than by individual character. We can find the relativity of exercise yangseng between yangseng and stress which suggests that we need to take measures to win over stress in individual health in the near future.

  • PDF