• Journal of Korean Traditional Oncology
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• v.26 no.1
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• pp.29-37
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• 2021

Objectives: The purpose of this study is to examine whether heart rate variability (HRV) and pulse wave of cancer patients can be used as indicators of their health status and prognosis. Methods: We retrospectively compared HRV, pulse wave and body mass index (BMI) of cancer patients and healthy individuals who visited W hospital from November of 2020 to October of 2021. Results: As a result of comparing HRV and pulse wave parameters between cancer patients and healthy subjects, among HRV indices, mean heart rate (MHR), standard deviation of normal to normal (SDNN) and total power (TP), very low frequency (VLF) showed significant differences between two groups. Cancer patients' pulse wave parameters showed more rapid and superficial than that of healthy subjects. Also, cancer patients weighed less and had lower BMI. Conclusion: For increased MHR, decreased SDNN, rapid and superficial pulse wave can be indicators of poor prognosis of cancer patients, keep monitoring HRV and pulse wave can help to manage patients efficiently.

• Safety and Health at Work
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• v.13 no.1
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• pp.99-103
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• 2022

Background: Firefighters may experience high environmental temperatures or carry out intensive physical tasks, or both, which leads to increased core body temperature and risk of fatalities. Hence there is a need to remotely and non-invasively monitor core body temperature. Methods: Estimated (heart rate algorithm) and actual core body temperature (ingested telemetric pill) measures were collected simultaneously for comparison during training exercises on 44 firefighter volunteers. Results: Prediction of core body temperature varied, with no specific identifiable pattern between the algorithm values and directly measured body core temperatures. Group agreement of Lin's Concordance of 0.74 (95% Upper 0.75, lower CI 0.73), was deemed poor. Conclusion: From individual agreement data Lin's Concordance was variable (Min 0.11, CI 0.13-0.01; Max 0.83, CI 0.86-0.80), indicating that the heart rate algorithm approach was not suitable for core body temperature monitoring in this population group, especially at the higher more critical core body temperatures seen.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.545-548
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• 2009

Recently, researches related to automative mechanism have been widely studied to increase the driver's safety by continuously monitoring the driver's health condition to prevent driver's drowsiness. This paper describes the design of wearable chest belt for ECG and reflectance pulse oximetry for $SpO_2$ sensors based on wireless sensor network to monitor the driver's healthcare status. ECG, $SpO_2$ and heart rate signals can be transmitted via wireless sensor node to base station connected to the server. Intelligent monitoring system is designed at the server to analyze the $SpO_2$ and ECG signals. HRV(Heart Rate Variability) signals can be obtained by processing the ECG and PPG signals. HRV signals are further analyzed based on time and frequency domain to determine the driver's drowsiness status.

• Korean Security Journal
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• no.35
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• pp.125-149
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• 2013

In this study changes in biorhythm are observed by measuring heart rate variabilities in order to verify, compare, and evaluate stresses in guard duties of guards and CCTV monitoring works of staffs serviced in practical guard sites. Guard duties and CCTV monitoring works similar to a practical situation are implemented for nine students in the department of security at K University over 150 minutes. In the results of observing heart rate variabilities and autonomic function tests for six times with an interval of 30 minutes, the heart rate variability (HRV) in CCTV monitoring works represents lower levels than that of guard duties. Also, in a stable condition the guard duties for 30 and 60 minutes exhibit lower levels than that of 90, 120, and 150 minutes. Regarding SDNN, CCTV monitoring works show higher levels that guard duties and the guard duties for 30 and 60 minutes represent lower levels than that of 150 minutes. In autonomic function tests, there are no differences in TP between groups according to guard duties and CCTV monitoring works. Also, the guard duties for 150 minutes represent more differences in TP compared to that of 30 minutes. The interaction between the duty type and the duty duration is presented. In the case of LF, guard duties for 150 minutes show large differences in duty duration compared to that of 60 minutes. In the case of HF, the CCTV monitoring work group shows higher levels than the guard duty group in which the guard duties for 120 and 150 minutes represent higher levels than that of 30 minutes. The interaction between the duty type and the duty duration is presented. In the case of the LF/HF ratio, the guard duty group exhibits higher levels than the CCTV monitoring group. Also, there is an interaction between the duty type and the duty duration including the difference in durations. The CCTV monitoring works represent lower heart function activities than the guard duties according to increases in parasympathetic nervous activities. It shows that the long-term CCTV monitoring duty repeated everyday shows a high possibility of increasing the exposures of VDT syndrome and nervous breakdown.

• Journal of the Semiconductor & Display Technology
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• v.20 no.1
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• pp.7-11
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• 2021

The electrocardiogram(ECG) and heart rates are essential for diagnosing heart disease. However, conventional portable ECG devices are possible to only measure heart rates or have limitations in how and where they are measured. In this paper, a portable ECG system in which ECG waveforms and heart rates are displayed on smartphone screens is developed. A smartphone is used as display equipment instead of a computer screen for continuous monitoring. The developed ECG system filters and amplifies detected analog ECG signals. Next, it converts the amplified analog ECG signals into digital signals, then transmits to the smartphone via Bluetooth communication. This ECG system can display and store biomedical signals on a smartphone through the application. As a result, the waveform and heart rates of the developed portable ECG system has been confirmed to be similar to those of existing medical devices.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.17-23
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• 2011

In this paper, daily life stress monitoring system is proposed. The proposed wireless ECG module, reducing the noise and increasing the size of signal, amplification circuit was designed for. Using HRV(Heart Rate Variability), extracted by measuring R-wave, stress diagnostic algorithms to assess the stress of human emotion were developed. For monitoring the activities, the proposed system is consist of small rectangular size for portable and by simple measurement it is possible to measure at any time. Through experiments, the proposed approach to represent user's stress level can be confirmed. Through that, it can see appropriate structure to obtain R-wave for stress assess as well as high resemblance to the clinical electrocardiogram. In this paper, performed experiments was developed nonrestraint measuring and wearable wireless biometric scanner that is able to monitor the heart's electrical activity of everyday life.Using this, the algorithm system, that is able to assess stress index through time-domain and frequency-domain analysis of the front and the rear of performing stress load protocol, was developed,

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.4
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• pp.931-936
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• 2012

In this paper, the module which can measure body fat, heart rate and $SpO_2$ has been developed for being mounted on widespread bidets in the home. This moudule was manufactured by a structure that can be mounted on a bidet, users such as elderly, patients with chronic fatigue, heart disease and overworked workers checking their health status in every life through monitoring their body fat, heart rate and $SpO_2$ and preventing of sudden death.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.2
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• pp.80-87
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• 1994

Fetal monitoring is a routine procedure to obtain a record of physiologic functions during pregnancy and labor. It is required to determine fetal heart frequency accurately. There are various types of fetal heart rate(FHR) determination and the most frequently applied method is transabdominal Doppler ultrasound. However, in the case of weak or noise corrupted Doppler ultrasound signals, conventional peak detections and the autocorrelation function method have many difficulties to determine FHR precisely. Also the autocorrelation function is effected by threshold level and window size. To solve these problems, the high resolution pitch determination algorinthm is introduced to detect FHR from Doppler ultrasound signals. This scheme digitally processes Doppler ultrasound signal for digital rectification, envelope detection, decimation and correlation calculation of two interconnected segments and then FHR is determined by its maximal value. Even in the case of a greatly smeared noise signal, this algorithm is able to search FHR more accurately than autocorrelation function by means of compensating FHR with a constant correlation threshold. This algorithm is simulated by 386-MATLAB on PC 486/DX and verified that it is superior to the autocorrelation function method.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.6
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• pp.794-798
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• 2018

There is a growing need for a care system that can continuously monitor, manage and effectively relieve stress for modern people. In recent years, mobile healthcare devices capable of measuring heart rate have become popular, and many stress monitoring techniques using heart rate variability analysis have been actively proposed and commercialized. In addition, respiratory biofeedback methods are used to provide stress relieving services in environments using mobile healthcare devices. In this case, breathing information should be measured well to assess whether the user is doing well in biofeedback training. In this study, we extracted the heart beat interval signal from the PPG and used the oscillator based notch filter based on the IIR band pass filter to track the strongest frequency in the heart beat interval signal. The respiration signal was then estimated by filtering the heart beat interval signal with this frequency as the center frequency. Experimental results showed that the number of breathing could be measured accurately when the subject was guided to take a deep breath. Also, in the timeing measurement of inspiration and expiration, a time delay of about 1 second occurred. It is expected that this will provide a respiratory biofeedback service that can assess whether or not breathing exercise are performed well.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.93-102
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• 2019

As interest in wellness grows, There is a lot of research about monitoring individual health using wearable devices. Accordingly, a variety of methods have been studied to distinguish exercise from daily activities using wearable devices. Most of these existing studies are machine learning methods. However, there are problems with over-fitting on individual person's learning, data discontinuously recognition by independent segmenting and fake activity. This paper suggests a detection method for exercise activity based on the physiological response principle of heart rate up and down during exercise. This proposed method calculates activity intensity and heart rate from triaxial and photoplethysmography sensor to determine a heart rate recovery, then detects exercise by estimating activity intensity or detecting a heart rate rising state. Experimental results show that our proposed algorithm has 98.64% of averaged accuracy, 98.05% of averaged precision and 98.62% of averaged recall.