• Title/Summary/Keyword: Heartbeat

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Development of Electrocardiogram Identification Algorithm using SVM classifier (SVM분류기를 이용한 심전도 개인인식 알고리즘 개발)

  • Lee, Sang-Joon;Lee, Myoung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.3
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    • pp.654-661
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    • 2011
  • This paper is about a personal identification algorithm using an ECG that has been studied by a few researchers recently. Previously published algorithm can be classified as two methods. One is the method that analyzes of ECG features and the other is the morphological analysis of ECG. The main characteristic of proposed algorithm can be classified the method of analysis ECG features. Proposed algorithm adopts DSTW(Down Slope Trace Wave) for extracting ECG features, and applies SVM(Support Vector Machine) to training and testing as a classifier algorithm. We choose 18 ECG files from MIT-BIH Normal Sinus Rhythm Database for estimating of algorithm performance. The algorithm extracts 100 heartbeats from each ECG file, and use 40 heartbeats for training and 60 heartbeats for testing. The proposed algorithm shows clearly superior performance in all ECG data, amounting to 93.89% heartbeat recognition rate and 100% ECG recognition rate.

Extracting Heart Rate Variability from a Smartphone Camera

  • Lenskiy, Artem A.;Aitzhan, Yerlan
    • Journal of information and communication convergence engineering
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    • v.11 no.3
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    • pp.216-222
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    • 2013
  • It is known that blood circulation in human body causes the skin tone to change concurrently with heartbeats. A number of apps have been developed to measure the heartbeat using smartphone camera; however, no any further analysis is performed. In this paper we propose an algorithm that detects heartbeats from the phone's camera and further extracts the heart rate variability (HRV). We compare the HRV extracted from the camera with the HRV extracted from the electrocardiogram. We estimated a number of commonly used HRV characteristics and compared them. Our results show that smartphone camera leads to slightly overestimated characteristics although the difference in extracted HRV signals is negligible. As a consequence we suggest that a smartphone camera can be employed in a quick heart diagnosis and diagnosis of autonomic nervous system.

Implementation of High Available Web-Servers using Cold-standby (Cold-standby 방식의 고가용 웹 서버 시스템 구현)

  • 김용희;성영락;이철훈
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.04a
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    • pp.64-66
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    • 2003
  • 본 논문은 서버를 구성할 수 있는 방식 중의 하나인 Cold-standby 방식을 이용하여 리눅스를 기반으로 한 고가용의 웹 서버 설계 및 구현에 대해 그 방안을 제시하고자 한다. Cold-standby 방식은 프라이머리 서버와 필요시 그 기능을 대신하는 백업 서버로 구성되며, 서비스를 제공하는 프라이머리 서버에 결함이 발생하여 서비스를 제공할 수 없을 경우 백업 서버가 그 역할을 대신하는 동작 방식이다. 프라이머리 서버에서 백업 서버로의 스위칭은 리눅스에서 오픈 소스로 제공하는 heartbeat 기법을 이용하여 프라이머리 서버의 결함발생시 백업 서버로의 스위칭이 가능하며, 프라이머리 서버의 과중한 트래픽으로 인해 발생할 수 있는 오버헤드를 줄이기 위해 실제 서비스를 처리하는 리얼 서버들을 클러스터링하였다. 또한 mon 기법을 이용하여 리얼 서버들의 상태를 모니터링함으로써 리얼 서버들의 추가 및 삭제가 용이하며, 웹 서버를 위한 하드웨어 및 소프트웨어 기법의 고가용을 제공함으로써 클라이언트에 대하여 안정성 및 신뢰성을 보장한 고가용의 서비스를 제공하는 웹 서버를 구현하였다.

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Low-power Heartbeat Detection Algorithm and Structure Using Modified CIC Filter Banks (Modified CIC 필터뱅크를 이용한 저전력 심장박동수 측정 알고리즘 및 구조)

  • Oh, Seung-Lee;Jang, Young-Beom
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.2
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    • pp.264-269
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    • 2013
  • In this paper, low-power heart beat detection algorithm and structure is proposed. The proposed detection algorithm utilizes filter banks to display a specific beat per minute(BPM) from the heart beat signals. Since general filter banks need a lot of computation to calculate a BPM, we propose the filter banks structure using modified CIC(Cascaded Integrator Comb) filters. It is shown that the proposed modified CIC filter banks algorithm can display the BPM from the heart beat signals precisely and efficiently.

The Measurement System of ECG, Temperature and Humidity Using RF wireless Communication Technique (RF 무선통신 기술을 이용한 심전도 및 온.습도 측정 시스템)

  • Lim, Jin-Hee;Nam, Hyo-Duck;Jung, Woo-Chul
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.11a
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    • pp.356-357
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    • 2007
  • In this paper, we developed an integrated miniaturized device which acquires and transmits the signal of ECG an interested heartbeat and body's temperature and humidity. Using an amplifier circuit on the electrodes and the radio frequency transmission, the developed system dispenses with the use of cables among the electrodes, amplifier, and the post processing system. The sensor signals are transmitted to the RF-wireless terminal that was developed using the micro controller Aduc812, LCD, RF-module (frequency 424MHz, 9600-bps). In results, the developed system improves not only the signal-to-noise ration in dynamic ECG & and body's temperature and humidity measurement, but also the user convenience.

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ECG & Temperature Measurement Wireless Sensor used Ag/AgCl Thin-Film (Ag/Agcl 박막을 이용한 ECG 및 온도 측정용 무선센서)

  • Lim, Jin-Hee;Nam, Hyo-Duck;Jung, Woo-Chul
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2007.06a
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    • pp.342-343
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    • 2007
  • In this paper, we developed an integrated miniaturized device which acquires and transmits the signal of ECG an interested heartbeat and body's temperature. Electrocardiogram(ECG) is a recording of the electrical activity on the body surface generated by heart. ECG & temperature measurement is collected by wireless sensor (for Ag/AgCl Thin-Film) placed at designated locations on the body. It is that dual wireless sensor will apply variously to Ubiquitous & Healthcare System.

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Classification of cardiotocograms using random forest classifier and selection of important features from cardiotocogram signal

  • Arif, Muhammad
    • Biomaterials and Biomechanics in Bioengineering
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    • v.2 no.3
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    • pp.173-183
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    • 2015
  • In obstetrics, cardiotocography is a procedure to record the fetal heartbeat and the uterine contractions usually during the last trimester of pregnancy. It helps to monitor patterns associated with the fetal activity and to detect the pathologies. In this paper, random forest classifier is used to classify normal, suspicious and pathological patterns based on the features extracted from the cardiotocograms. The results showed that random forest classifier can detect these classes successfully with overall classification accuracy of 93.6%. Moreover, important features are identified to reduce the feature space. It is found that using seven important features, similar classification accuracy can be achieved by random forest classifier (93.3%).

Topology Design Optimization for Improving Fail-over Performance in Wired Mesh Network (유선 메시 구조에서의 절체 성능 향상을 위한 네트워크 설계 기법)

  • Hwang, Jongsu;Jang, Eunjeong;Lee, Wonoh;Kim, Jonghyeok;Kim, Heearn
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.4
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    • pp.165-175
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    • 2019
  • Networks use relatively slow heartbeat mechanisms, usually in routing protocols, to detect failures when there is no hardware signaling to help out. The time to detect failures available in the existing protocols is no better than a second, which is far too long for some applications and represents a great deal of lost data at 10 Gigabit rates. We compare the convergence time of routing protocol applying Bidirectional Forwarding Detection (BFD) protocol in wired mesh network topology. This paper suggests the combinations of protocols improving fail-over performance. Through the performance analysis, we contribute to reduce convergence time when system is fail-over.

Design of a Smart Wearable Solution using Heartbeat Sensor (심박센서를 이용한 스마트 웨어러블 솔루션 설계)

  • Cheon, Sang-kyu;Jang, Si-woong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.481-483
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    • 2014
  • 경제가 성장함에 따라 생활문화의 수준 또한 향상되었고 그로인해 삶의 가치가 건강에 대한 관심으로 변하면서 함께 아웃도어 스포츠도 대중화되고 있다. 평균 수명이 늘어남에 따라 아웃도어 스포츠를 즐기는 인구도 노인층뿐만 아니라 다양한 계층으로 확대됨에 따라 아웃도어를 즐기는 이용자가 증가하고 있고 안전사고 또한 증가하고 있다. 아웃도어 활동 중 발생하는 안전사고 사망자의 대다수가 심장마비사고이다. 본 논문에서는 아웃도어 웨어에 심박센서를 장착하여 스마트폰과 연동되게 하며 심박수를 체크해주어 급작스레 심박수에 큰 폭의 변화를 보이면 스마트폰에 경고음을 크게 울려 주위의 사람들에게 위험상황을 알려 도움을 받을 수 있도록 하며 긴급한 사고가 발생할 경우 GPS를 통해 위치를 알려주며 구조요청 메시지를 보내도록 한다.

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A Study on the Necessity of Advanced Safety Systems in Driver Emergencies (운전자 응급상황에서의 첨단안전시스템 필요성 연구)

  • Byungdo Kang;Bonggyun Jo;Yunhwa Lee;Taehyeong Kim
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.1
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    • pp.63-68
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    • 2023
  • A study on the need for a safety system using driver's biometric information, vehicle automatic emergency braking system, and the e-call system that in the event of an unexpected situation such as loss of driving ability due to sudden physical abnormality of elderly drivers and drivers with health problems, and the improvement of laws for the spread of this system were studied.