• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.158-162
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• 2008

Heart rate has many effect by environment factor and body factor and mind factor. Experimental testing decide to make relaxed condition. so It want to get correct data peoples different time and condition in the day so medical mans think relaxed to low Heart rate. but normal heart different from peoples and time. there was noting standard. so Heart rate is really hard to relaxed heart rate. Heart rate pattern must have long time analysis for good result. if you get relaxed heart rate so you don't need long-time analysis. Relaxed heart pattern used for guidance of auditory impulse public got concentration and solve to stress. it chose MC Square and mozart music. Two kind of auditory impulse analysis to make a relaxed Heart rate and relaxed pattern. way of analysis is HRV and minute of heart bit rate. result It have find Guidance to Relaxed Heart rate.

• Journal of Yeungnam Medical Science
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• v.6 no.1
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• pp.99-107
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• 1989

24-hour ambulatory ECG monitoring has been examined for the evaluation of heart rate and longest pause in 34 patients with chronic atrial fibrillation(20 patients treated with digoxin and 14 patients without treatment). Following results were obtained : 1. In 34 patients, the mean of average heart rates was $75.7{\pm}13.8$/minute, fastest heart rates $148.0{\pm}32.4$/minute, slowest heart rates $48.1{\pm}8.4$/minute, difference between fastest and slowest heart rates in individual patients $99.9{\pm}29.0$/minute and longest pauses $2.95{\pm}1.06$seconds. The longest pauses of more than 4.0 seconds occurred in 4 of the 34 patients and made an exeption of comparison groups. 2. In 27 of the 34 patients, ventricular premature contractures were developed and in 11 of 27, mainly occured less than 100/24 hours and aberrant conduction occurred in all patients. 3. In 20 patients treated with digoxin(0.25mg/day), the mean of average heart rates was $78.4{\pm}13.7$/minute, fastest heart rates $152.5{\pm}33.1$/minute, slowest heart rates $48.9{\pm}8.5$/minute, difference between fastest and slowest heart rates in individual patients $103.6{\pm}31.7$/minute and longest pauses $2.55{\pm}0.50$seconds. 4. In 10 patients without treatment, the mean of average heart rates was $78.0{\pm}10.7$/minute, fastest heart rates $154.5{\pm}26.8$/minute, slowest heart rates $50.6{\pm}7.1$/minute, difference between fastest and slowest heart rates in individual patients $103.9{\pm}22.2$/minute and longest pauses $2.66{\pm}0.39$seconds. 5. The difference of heart rates and longest pauses between patients with treatment and without treatment were statistically not significant(P>0.05). In summary, authors seemed to consider that 24-hour ambulatory ECG was useful and safe method for clinical evaluation of patients with chronic atrial fibrillation.

• 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.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.8
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• pp.253-258
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• 2015

From the point of view of u-healthcare, heart rate is so useful for both illness for taking care of patients and wellness for improving the level of health and wellbeing. It is because heart rate is a significant clinical variable for all kinds of diseases as well as an indicator of the intensity of exercise. Recently, a number of various wearable heart rate monitors have been released to check people's status in the body by monitoring their heart rates. In addition, a number of smartphone applications have been released to conveniently monitor the status of exercise by using heart rate monitors. However, all of these applications are limited to a personal usage. In this paper, we will design a system to simultaneously monitor heart rates coming from multiple users in a real-time, and develop an Android application to apply the system. The application mainly features a simultaneous monitoring of heart rates coming from multiple users, allowing to be effectively applied to fitness centers.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.3
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• pp.23-29
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• 2009

The heart sends blood to the body with heart rate. When heart rate for men is from 60 to 80 per minute, he is generally normal. However, if heart rate is less than the normal heart rate, the symptom is called by bradycardia. Otherwise, the symptom is called by tachycardia. These symptoms make him even to death. Therefore, heartbeat rate has a very important role in a healthy life. In this study, we studied on auto-extracting methods of heart rates from ECG, and compared them with those measured by naked eyes. The first auto-extracting method employs the 2-order differential equations to extract heart rate. The second method uses the autocorrelation coefficients to detect heart rate. To verify its efficacy and validity in practical applications, these method has been applied to MIT/BIH database.

• 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.

• 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.

• 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).

• 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.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.8
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• pp.18-26
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• 2015

Measuring the heart rate during exercise is important to properly control the amount of exercise. With the recent advent of smart device usage, there is a dramatic increase in interest in devices for the real-time measurement of the heart rate during exercise. During intensive exercise, accurate heart rate estimation from wrist-type photoplethysmography (PPG) signals is a very difficult problem due to motion artifact (MA). In this study, we propose an efficient algorithm for an accurate estimation of the heart rate from wrist-type PPG signals. For the twelve data sets, the proposed algorithm achieves the average absolute error of 1.38 beat per minute (BPM) and the Pearson correlation between the estimates and the ground-truth of heart rate was 0.9922. The proposed algorithm presents the strengths in an accurate estimation together with a fast computation speed, which is attractive in application to wearable devices.