• Title/Summary/Keyword: Heart Sound

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Design of u-Healthcare RF-Tag Based on Heart Sounds of Chest (흉부 심음을 기반한 u-헬스케어용 RF-Tag설계)

  • Lee, Ju-Won;Lee, Byeong-Ro
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.4
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    • pp.753-758
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    • 2009
  • This paper is proposed the hardware structure and signal processing method of the RF-Tag based on heart sound to develop the mobile biomedical information device for the u-healthcare system. The RF-Tag in this study is consisted of a skin temperature sensor, a dynamic microphone for heart sound detection, Bluetooth communication to transmute healthcare data, and pulse period detection algorithm with adaptive gain controller. We experimented to evaluate performance of the RF-Tag in noisy environments. In addition, the RF-Tag has shown the good performance in the results of experiment. If the proposed methods in this study apply to design the u-healthcare device, we will be able to get the exact health data on real time in mobile environments.

Implementation of Real-time Heart Activity Monitoring System Using Heart Sound (심음을 이용한 실시간 심장 활동 상태 모니터링 시스템 구현)

  • Kim, Jin-Hwan;Noh, Yun-Hong;Jeong, Do-Un
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.1
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    • pp.14-19
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    • 2018
  • Recently, the smart health care industry has been rising rapidly and interest and efforts for public health have been greatly increased. As a result, the public does not visit medical specialists and medical facilities, but the desire to check their health condition in everyday life is increased. Therefore, many domestic and foreign companies continuously research and develop wearable devices that can measure body activity information anytime and anywhere And the market. Especially, it is used for heart activity measurement device using pulse wave sensor and electrocardiogram sensor. However, in this study, a monitoring system that can detect cardiac activity using cardiac sounds, heart sound measurement rather than pulse wave measurement and electrocardiogram measurement, was performed and its performance was evaluated. Experimental results confirmed the predictability of cardiac heart rate and heart valve disease during daily living.

A Lingual Sound Analysis based on Oriental Medicine Auscultation for Heart Diseases Diagnosis (심장(心臟) 질환(疾患) 진단(診斷)을 위한 한의학적 청진(聽診) 기반의 설음(舌音) 분석)

  • Kim, Bong-Hyun;Cho, Dong-Uk;Her, Sung-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.8B
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    • pp.830-838
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    • 2009
  • Oriental medicine lacks diagnosis data in fixed quantity possible to express visually to patients by depending on clinician's intuition than Western medicine that continues to development by various diagnosis devices. For that, this paper intends to examine relation between heart and voice signal regarded as center organ and source of life and mind in order to implement objectification through the visualization of oriental diagnosis method above all. According to because the heart is related to the tongue among five organs, by thinking with sounds, we would design the way of identifying existence of heart diseases focused on the fact that lingual sound pronunciation of heart patient is inexact. For this, we achieved a comparison, analysis of statistical bandwidth and morphological modeling of the second formants frequency about a lingual sound for their voice constituted subject group of heart diseases and normal people. Finally, we analyzed interrelationship to the result of experiment by designed method.

Optimal Thoracic Sound Data Extraction Using Principal Component Analysis (주성분 분석을 이용한 최적 흉부음 데이터 검출)

  • 임선희;박기영;최규훈;박강서;김종교
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2156-2159
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    • 2003
  • Thoracic sound has been widely known as a good method to examine thoracic disease. But, it's difficult to diagnose with correct data according to patient's thoracic position from same patient who has thoracic disease. Therefore, it is necessary to normalize the data for lung sound objectively In this paper, we'd like to detect a useful data for medical examination by applying PCA(Principal Component Analysis) to thoracic sound data and then present a objective data about lung and heart sound for thoracic disease.

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Heart Response Effect by 1/f Fluctuation Sounds for Emotional Labor on Employee (1/f 수준 별 음악 자극이 감정 노동 종사자의 심장 반응에 미치는 효과)

  • Jeon, Byung-Mu;Whang, Min-Cheol
    • Science of Emotion and Sensibility
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    • v.18 no.3
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    • pp.63-70
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    • 2015
  • This study identified heart response of participants while listening to sounds which have 1/f fluctuations with exponent ${\alpha}$ gradient. The participants were engaged in emotional stress work. Prior studies related to 1/f fluctuation sound have reported that sound source can alleviate psychological and physiological state of users. Subjects of this study were exposed to sound with three levels of ${\alpha}$ gradient. Heart response of subjects were measured with Photoplethysmography(PPG) sensor simultaneously. The dependent variables of this study were beat per minute(BPM), very low frequency percent of pulse rate variability (VLF percent), the standard deviation of all normal RR intervals (SDNN), and high frequency power(HF power). Subject showed arousal response when exposed to sound with exponent ${\alpha}$ gradient of 3 whereas the sound with exponent ${\alpha}$ gradient of 1 and 2 resulted in relax effect. The characteristic of 1/f fluctuation sounds can be applied to alleviate stress for employers under emotional labor.

Prototype Model Design and Implementation of Fetal Heart Sound Measurement Device (심장 초음파 측정기의 프로토 타입 모델 설계 및 구현)

  • Choi, Sung-Jai
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.111-116
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    • 2022
  • In the paper, A prototype Fetal Heart Monitor, mini - size, was designed and produced for pre-mothers to measure the rate and rhythm of their features's heart at home.Pre-mothers could listen fetal heart rhythm through an inner bluetooth speaker ant the monitor. LED colors show the frequency of fetal heart rate variability on the monitor. All measured health information, by ultrasonic resonator and bluetooth speaker, is linked to a mother's smart phone. A test verified this simple measuring device helps users discover the symptoms of fetal health. Patients using at home devices usefully prevent sudden cardiac death and myocardial infraction by discovering symptoms.

Wireless Digital Stethoscope Diagnosis System using Heart Rate (심박수를 이용한 무선 디지털 청진 진단시스템)

  • Park, Kee-Young;Lee, Jong-Ha;Cho, Sook-Jin;Lee, Chul-Hee;Jung, Eui-Bung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.6
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    • pp.237-243
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    • 2014
  • Heart sounds of patient's chest could be heard using an analog stethoscope. However, auscultation of a heart sound can be diagnosed differently by each doctor hearing it. Therefore the condition of each patient is determined by the subjective comments based on the hearing ability of a physician who has years of experience. In this paper, through analysis of heart sound and heart rate of the patient's condition, we will define minutely how to diagnose the condition of patient using a wireless digital stethoscope diagnostic system. And it is possible to perform an objective medical diagnosis by applying LCR (Level Crossing Rate) and to show the relationship of a disease using this system.

Cardiac Valve Disease Suspicion Monitoring System Using Heart Sound (심음을 이용한 심장 판막 질환 의심 모니터링 시스템)

  • Kim, Jin-Hwan;Noh, Yun-Hong;Jeong, Do-Un
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.627-628
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    • 2017
  • Recently, the smart health care industry is showing great interest in health due to the rapid rise of the industry, and various devices capable of monitoring health status in daily life are being developed. In this study, we implemented a system to monitor cardiac activity and anomalous signals from cardiac activity measurement in a manner different from conventional electrocardiogram or pulse wave measurement. And, we performed the measurement evaluation on the subject using the implemented heart sound system. As a result, we confirmed the possibility of monitoring cardiac activity during daily life through heart sound measurement.

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Crying and Face Color Analysis for Baby Heart Diseases Diagnosis (소아 심장 질환 진단을 위한 울음소리 및 얼굴 색상 분석)

  • Cho, Dong-Uk;Lee, Se-Hwan;Kim, Bong-Hyun
    • The KIPS Transactions:PartB
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    • v.14B no.7
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    • pp.503-512
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    • 2007
  • An infant of a baby child who haven't communication skills through a language expresses their intention or baby condition as generally crying. Among these things, it is important to show a baby condition because their disease miss diagnosis time or remain to decide an exact diagnosis result too hard. For this, in this paper, we are going to develop system which decides where to be not good body point by analysing their face color and crying sound. Specifically, in this paper, we are going to act for baby heart diseases by doing feature extraction for their face region color and crying sound. To embody, we are going to present diagnosis method and compare analyze their crying sound a stand child, a different diseases child and a baby heart diseases child through each analyzed element. And also, we are going to extract matters to be attended to baby heart diseases through experiment and prepare objective index and an accuracy of baby heart diseases diagnosis result.

New Sound Spectral Analysis of Prosthetic Heart Valve (인공판막음의 새로운 스펙트럼 분석 연구)

  • Lee, H.J.;Kim, S.H.;Chang, B.C.;Tack, G.;Cho, B.K.;Yoo, S.K.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.75-78
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    • 1997
  • In this paper we present new sound spectral analysis methods or prosthetic heart valve sounds. Phonocardiograms(PCG) of prosthetic heart valve were analyzed in order to derive frequency domain feature suitable or the classification of the valve state. The fast orthogonal search method and MUSIC (MUltiple SIgnal Classification) method are described or finding the significant frequencies in PCG. The fast orthogonal search method is effective with short data records and cope with noisy, missing and unequally-spaced data. MUSIC method's key to the performance is the division of the information in the autocorrelation matrix or the data matrix into two vector subspaces, one a signal subspace and the other a noise subspace.

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