• Title/Summary/Keyword: 심박수 측정

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Study on the Validity of Recently Introduced Wrist Watch Type Heart Rate Monitoring Device (최근 소개된 손목형 심박수 측정 장치의 유용성에 관한 연구)

  • Yoo, Seunghoon
    • Journal of the korean academy of Pediatric Dentistry
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    • v.41 no.1
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    • pp.27-33
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    • 2014
  • There are several ways to analyse stress resulting from anxiety and fear within dental treatment for children. Surveying questionnaires and monitoring biologic reaction are the most common ways for evaluating stress. Pulse oximeter is a popular device for detecting heart rate but not appropriate for moving children. In this study, we compared a recently introduced wrist- watch type heart rate monitor(Alpha, MIO, USA) with a pulse oximeter(MP110, MECKIS, Republic of Korea) for 10 attendants with two conditions including resting state and excited state after exercise. Data were analyzed using Wilcoxon Signed Rank test and there is no statistical difference between two devices(p < 0.05).

Design of A Portable Device for Measuring Heart Rate Using Harmonic Signal and Adaptive Filter (하모닉 신호와 적응 필터를 이용한 휴대형 심박수 측정 장치 설계)

  • Lee, Ju-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.3
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    • pp.723-728
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    • 2010
  • This study proposed a design of a portable device for measuring heart rate using photoplethysmograph signal to minimize load of a nurse increased from insufficiency of an internal hospital nurse, and algorithm to measure reliable heart rate in PPG signals despite the existence of patient's motion artifacts. The proposed method for measuring heart rate is the method to minimize the motion interference by using the adaptive filter based on harmonic characteristic of PPG signal. To evaluate the performances of the a portable device implemented by the proposed method, we used several motion artifacts including finger and wrist movements; we then compared out results with the performance of the moving average filter. In this results, the proposed method showed a better performance than that of the moving average filter. Therefore, when nurses use the a portable device for measuring heart rate proposed in this study, it will enable to improve nurse work and to measure the reliable heart rate.

Experimental Research for Auto Measuring Machine of Heart Rate from ECG (ECG를 이용한 심박수 자동측정기기 개발에 관한 실험적 연구)

  • Cha, Sam;Cho, Eun Seuk;Lee, Ki Young
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.1
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    • pp.13-18
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    • 2010
  • In this study, heart rate through ECG R-R intervals using the methods about how to automatically extract studied. Heart rate as measured by the naked eye, using the 2-order differential equations to extract heart rate, using self-correlation function to extract the heart rate was compared contemplate. To verify its efficacy and validity in practical applications, these method has been applied to MIT/BIH database. Based on this, making a ECG meter automatic heart rate measurements, and our ECG meter was compared with the existing ICU.

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웨어러블 심박수 측정장치를 이용한 선박입출항시 항해사의 심박변화 분석

  • Kim, Hwa-Yeong;Sin, Ho-Sik;Lee, Chang-Yeong;Choe, Gyeong-Hun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.07a
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    • pp.265-266
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    • 2015
  • 인간의 사고 및 행동능력은 환경부하, 작업의 내용 등 외부환경에 큰 영향을 받는다. 선박운항 시, 인간-기계시스템 환경에서 항해사의 일정한 수준 이상의 판단 및 조선능력은 안전운항을 위해 매우 중요한 요소이다. 특히 협수로 항해시, 선박통항량이 많은 해역을 항해할 경우 선교에서의 작업부하가 커지고 그로 인한 피로 및 긴장에 의한 심신 기능이 저하되어, 항해사의 조선(操船)능력에 영향을 미치게 될 것이다. 그러나 선박운항 또는 입출항 시 항해사의 생리적, 심리적 스트레스를 측정하여 계량화한 연구는 미비하다. 따라서 본 연구에서는 웨어러블 심박수 측정장치를 이용하여 항해사의 심박수 변화를 측정 분석하고, 항해사의 선박 운항작업 시 발생하는 스트레스를 계량화하여 모델을 개발하기 위한 기초연구를 수행하였다.

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Design of Facial Image Data Collection System for Heart Rate Measurement (심박수 측정을 위한 안면 얼굴 영상 데이터 수집 시스템 설계)

  • Jang, Seung-Ju
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.7
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    • pp.971-976
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    • 2021
  • In this paper, we design a facial facial image data collection system for heart rate measurement using a web camera. The design content of this paper is a function of collecting user face image information using a web camera and measuring heart rate using the user's face image information. There is a possibility that an error may occur due to non-contact heart rate measurement using a web camera. Therefore, in this paper, it is to be used for correcting heart rate program errors through classification of data in cases of error and normal. The data in case of error can be used for the purpose of reducing the error. Experiments were conducted on the proposed ideas and designed in this paper. As a result of the experiment, it was confirmed that it operates normally.

Development of a Modular Clothing System for User-Centered Heart Rate Monitoring based on NFC (NFC 기반 사용자 중심의 모듈형 심박측정 의류 시스템 개발)

  • Cho, Hakyung;Cho, SangWoo;Cho, Kwang Nyun
    • Science of Emotion and Sensibility
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    • v.23 no.2
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    • pp.51-60
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    • 2020
  • This study aimed to develop a modular smart clothing system for heart rate monitoring that reduces the inconvenience caused by battery charging and the large size of measurement devices. The heart rate monitoring system was modularized into a temporary device and a continuous device to enable heart rate monitoring depending on the requirement. The temporary device with near-field communication (NFC) and heart rate sensors was developed as a clothing attachment type that enables heart rate monitoring via smart phone tagging when required. The continuous device is based on Bluetooth Low Energy (BLE) communication and batteries and was developed to enable continuous heart rate measurement via a direct connection to the temporary device. Furthermore, the temporary device was configured to connect with a textile electrode made of a silver-based knitted fabric designed to be located below the pectoralis major muscle for heart rate measurement. Considering the user-experience factors, key functions, and the ease of use, we developed an application to automatically log through smart phone tagging to improve usability. To evaluate the accuracy of the heart rate measurement, we recorded the heart rate of 10 healthy male subjects with a modular smart clothing system and compared the results with the heart rate values measured by the Polar RS800. Consequently, the average heart rate value measured by the temporary system was 85.37, while that measured by the reference device was 87.03, corresponding to an accuracy of 96.73%. No significant difference was found in comparison with the reference device (T value = -1.892, p = .091). Similarly, the average heart rate measured by the continuous system was 86.00, while that measured by the reference device was 86.97, corresponding to an accuracy of 97.16%. No significant difference was found in terms of the heart rate value between the two signals (T value = 1.089, p = .304). The significance of this study is to develop and validate a modular clothing system that can measure heart rates according to the purpose of the user. The developed modular smart clothing system for heart rate monitoring enables dual product planning by reducing the price increase due to unnecessary functions.

공포게임에서 유희적 공포요소와 플레이어의 반응에 대한 연구

  • Yun, Jang-Won
    • 한국게임학회지
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    • v.6 no.1
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    • pp.37-40
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    • 2009
  • 본 논문에서는 정성적, 정량적 측정을 통한 게임 감성 유희(遊戱)요소 도출을 목적으로, 공포게임의 '공포'를 '유희적 공포'라 보고 로제카이와의 놀이이론에 근거하여 분석한 후, 이를 바탕으로 공포게임내 '유희적 공포요소'를 '감각적 유희공포', '기대적 유희공포', '제한적 유희공포', '수행적 유희공포'의 4가지로 분류했다. 연구자는 플레이어의 반응을 통해 이를 검증하기 위해 실증적 실험을 수행하였는데, 실험은 공포게임을 플레이 하는 동안 심박계를 통해서 각 실험자들의 심박을 측정하고 이를 촬영한 비디오 데이타를 분석하여 유희적 공포요소가 심리적, 생리적인 영향을 줄 것이라 예측된 지점을 공포지점(fear point)이라 명명하였으며, 이 지점에서 측정된 심박이 평상시 평균심박 및 실험 중 평균심박과 통계적으로 유의한 차가 있는지 알아보고 설문을 통한 플레이어의 주관적 데이타를 첨부하여 심박수와의 통계적인 상관관계를 알아보았다. 연구 결과, 공포지점에서 실험자들의 심박이 평상시 심박 및 실험중 평균심박 보다 통계적으로 유의미하게 상승됨을 증명했으며, 주관적 데이터와도 상관관계가 높음을 보여주었다. 본 연구는 게임 내 유희적 요소로서의 공포요소를 이론적인 방법과 실증적인 방법을 통해 검증하고 앞으로의 게임 제작 및 기획에 도움이 되는 기준을 제시할 수 있었다.

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Attention-Based Heart Rate Estimation using MobilenetV3

  • Yeo-Chan Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.1-7
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    • 2023
  • The advent of deep learning technologies has led to the development of various medical applications, making healthcare services more convenient and effective. Among these applications, heart rate estimation is considered a vital method for assessing an individual's health. Traditional methods, such as photoplethysmography through smart watches, have been widely used but are invasive and require additional hardware. Recent advancements allow for contactless heart rate estimation through facial image analysis, providing a more hygienic and convenient approach. In this paper, we propose a lightweight methodology capable of accurately estimating heart rate in mobile environments, using a specialized 2-channel network structure based on 2D convolution. Our method considers both subtle facial movements and color changes resulting from blood flow and muscle contractions. The approach comprises two major components: an Encoder for analyzing image features and a regression layer for evaluating Blood Volume Pulse. By incorporating both features simultaneously our methodology delivers more accurate results even in computing environments with limited resources. The proposed approach is expected to offer a more efficient way to monitor heart rate without invasive technology, particularly well-suited for mobile devices.

Robust Extraction of Heartbeat Signals from Mobile Facial Videos (모바일 얼굴 비디오로부터 심박 신호의 강건한 추출)

  • Lomaliza, Jean-Pierre;Park, Hanhoon
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.1
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    • pp.51-56
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    • 2019
  • This paper proposes an improved heartbeat signal extraction method for ballistocardiography(BCG)-based heart-rate measurement on mobile environment. First, from a mobile facial video, a handshake-free head motion signal is extracted by tracking facial features and background features at the same time. Then, a novel signal periodicity computation method is proposed to accurately separate out the heartbeat signal from the head motion signal. The proposed method could robustly extract heartbeat signals from mobile facial videos, and enabled more accurate heart rate measurement (measurement errors were reduced by 3-4 bpm) compared to the existing method.

Development of Health Management App using Max30102 Sensor (Max30102 센서를 활용한 건강관리 앱 개발)

  • Jae-hak Kim;Tae-hyun Jin;Young-bok Cho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.291-293
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    • 2023
  • 위치정보 표시 및 심박수를 이용한 운동강도 표시 앱을 개발하는 주요 목적은 개인의 건강 상태를 관리하고 개선하기 위함이다. 건강관리의 가장 기본적인 수단은 운동이다. 운동 중에서도 유산소 운동은 체력을 증가시키고 몸무게도 줄일 수 있는 등 가장 효과적인 운동이면서도, 누구나 큰 준비 없이 마음만 먹으면 할 수 있는 가장 기본적인 운동이라고 생각했다. 유산소 운동을 할 때 위치정보를 표시하고 심박수를 측정하여 운동강도를 표시해준다면 운동에 큰 도움이 될 것으로 생각했다. 위치정보 표시 및 심박수 센서를 이용한 운동강도 표시 앱으로 심박수, 이동 거리 등을 추적하고 기록하며, 이를 통해 심박수 상태를 확인하고 운동강도를 조절함으로써 효과적으로 운동할 수 있을 것으로 예상된다. 또한 reCaptcha를 이용하여 사람과 악성봇을 구별 가능하게 하여 보안성을 높였다.

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