• Title/Summary/Keyword: Wearable ECG

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Development of Mobile Healthcare System Using ECG Measurement (심전도 측정을 이용한 모바일 헬스케어 시스템 개발)

  • Kim, Seong-Woo;Shin, Seung-Chul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.8
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    • pp.2008-2016
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    • 2014
  • With the increased attention about health care and management of heart diseases, ubiquitous healthcare services and related devices have been actively developed recently. In this paper we developed a mobile healthcare system which consists of smartphone and patch-type ECG measuring device. This system is capable of monitoring, storing, and sending bio signals such as ECG, heart rate, heart rate variability as well as exercise management functions through heart rate zones. With monitoring bio signal continuously by mobile healthcare system and wearable device like us, people can prevent chronic disease and maintain good health. Here we report our implementation results on real platforms.

Packet Traffic Management in Wearable Health Shirt by Irregular Activity Analysis on Sensor Node

  • Koay, Su-Lin;Jung, Sang-Joong;Shin, Heung-Sub;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.233-236
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    • 2010
  • This paper describes the packet traffic management of the Ubiquitous Healthcare System. In this system, ECG signal and accelerometer signal is transmitted from a wearable health shirt (WHS) to the base station. However, with the increment of users in this system, traffic over-load issue occurs. The main aim of this paper is to reduce the traffic over-load issue between sensor nodes by only transmitting the required signals to the base station when irregular activities are observed. In order to achieve this, in-network processing is adapted where the process of observation is conducted inside the sensor node of WHS. Results shows that irregular activities such as fall can be detected on real-time inside the sensor node and thus resolves traffic over-load issue.

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Development of Real-Time Arrhythmia Detection and BLE-based Data Communication Algorithm for Wearable Devices (웨어러블 디바이스를 위한 실시간 부정맥 검출 및 BLE기반 데이터 통신 알고리즘 개발과 적용)

  • SooHoon, Maeng;Daegwan, Kim;Hyunseok, Lee;Hyojeong, Moon
    • Journal of Biomedical Engineering Research
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    • v.43 no.6
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    • pp.399-408
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    • 2022
  • Because arrhythmia occurs irregularly, it should be examined for at least 24 hours for accurate diagnosis. For this reason, this paper developed firmware software for arrhythmia detection and prevented consumption of temporal and human resources and enabled continuous management and early diagnosis. Prior to the experiment, the interval between the R peaks of the QRS Complex was calculated using the Pan-Tompkins algorithm. The developed firmware software designed and implemented an algorithm to detect arrhythmia such as tachycardia, bradycardia, ventricular tachycardia, persistent tachycardia, and non-persistent tachycardia, and a data transmission format to monitor the collected data based on BLE. As a result of the experiment, arrhythmia was found in real time according to the change in BPM as designed in this paper. And the data quality for BLE communication was verified by comparing the sensor's serial communication value with the Android application reception value. In the future, wearable devices for real-time arrhythmia detection will be lightweight and developed firmware software will be applied.

Cuffless Blood Pressure Estimation Based on a Convolutional Neural Network using PPG and ECG Signals for Portable or Wearable Blood Pressure Devices (휴대용 및 웨어러블 측정기를 위한 ECG와 PPG 신호를 활용한 합성곱 신경망 알고리즘 기반의 비가압식 혈압 추정 방법)

  • Cho, Jinwoo;Choi, Ahyoung
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.3
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    • pp.1-10
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    • 2020
  • In this paper, we propose an algorithm for estimating blood pressure using ECG (Electrocardiogram) and PPG (Photoplethysmography) signals. To estimate the BP (Blood pressure), we generate a periodic input signal, remove the noise according to the differential and threshold methods, and then estimate the systolic and diastolic blood pressures based on the convolutional neural network. We used 49 patient data of 3.1GB in the MIMIC database. As a result, it was found that the prediction error (RMSE) of systolic BP was 5.80mmHg, and the prediction error of diastolic BP was 2.78mmHg. This result confirms that the performance of class A is satisfied with the existing BP monitor evaluation method proposed by the British High Blood Pressure Association.

Real-time Intelligent Health and Attention Monitoring System for Car Driver (실시간 지능형 운전자 건강 및 주의 모니터링 시스템)

  • Shin, Heung-Sub;Jung, Sang-Joong;Seo, Yong-Su;Chung, Wan-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.5
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    • pp.1303-1310
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    • 2010
  • Recently, researches related with 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 SpO2 sensors based on wireless sensor network to monitor the driver's healthcare status. ECG, SpO2 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 SpO2 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.

Real-time Intelligent Health and Attention Monitoring System for Car Driver by Measurement of Vital Signal (생체신호 측정에 의한 실시간 지능형 운전자 건강 및 주의 모니터링 시스템)

  • Shin, Heung-Sub;Jung, Sang-Joong;Seo, Yong-Su;Chung, Wan-Young
    • 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.

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An ECG monitoring system using a conductive thread-based wearable antenna (전도성 섬유 웨어러블 안테나를 기반으로 한 심전도 모니터링 시스템 설계)

  • Chung, Jae-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.5
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    • pp.10-15
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    • 2017
  • Research interest has strongly focused on developing a method for effectively transmitting bio-signals over a distance using a wireless wearable device. In this paper, we describe a procedure for the design and fabrication of a wearable antenna based on embroidering conductive threads to clothing capable of transmitting electrocardiogram signals. 3D electromagnetic simulation software and embroidery software were used to design and fabricate the conductive thread-based antenna, respectively. The measurement results show that the reflection coefficient of the fabricated antenna prototype exhibits excellent antenna impedance matching characteristics of less than -10dB in the Zigbee 2.4GHz frequency band. We also verified that the electrocardiogram data could be effectively received and monitored in real-time by a receiver 220m away from the transmitter.

A Method to Separate Respiration and Pulse Signals from BCG Sensing Data for Companion Animals

  • Kwak, Ho-Young;Chang, Jin-Wook;Kim, Soo Kyun;Song, Woo Jin;Yun, Young-Min
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.163-170
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    • 2022
  • Currently, as the number of families living with companion animals increases, the demand for information about the health status of companion animals has increased. As the demand for this increases, there is a need for a method to measure respiration and pulse in companion animals. Considering the characteristics of hairy companion animals, we want to measure respiration and pulse signals using BCG, which is different from adsorption ECG. Since this BCG method is made by mixing respiration and pulse signals into one signal, it is necessary to separate the respiration signal waveform and the pulse signal waveform from one signal waveform. In this paper, a wearable device for BCG measurement was implemented to measure the signal, and a method of separating the signal input from the BCG wearable device into a respiration signal and a pulse signal was proposed.

Development of bio-inspired hierarchically-structured skin-adhesive electronic patch for bio-signal monitoring (생체정보 진단을 위한 생체모사 계층구조 기반 피부 고점착 전자 패치 개발)

  • Kim, Da Wan
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.749-754
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    • 2022
  • High adhesion and water resistance of the skin surface are required for wearable and skin-attachable electronic patches in various medical applications. In this study, we report a stretchable electronic patch that mimics the drainable structure pattern of the hexagonal channels of frog's pads and the sucker of an octopus based on carbon-based conductive polymer composite materials. The hexagonal channel structure that mimics the pads of frogs drains water and improves adhesion through crack arresting effect, and the suction structure that mimics an octopus sucker shows high adhesion on wet surfaces. In addition, the high-adhesive electronic patch has excellent adhesion to various surfaces such as silicone wafer (max. 4.06 N/cm2) and skin replica surface (max. 1.84 N/cm2) in dry and wet conditions. The high skin-adhesive electronic patch made of a polymer composite material based on a polymer matrix and carbon particles can reliably detect electrocardiogram (ECG) in dry and humid environments. The proposed electronic patch presents potential applications for wearable and skin-attachable electronic devices for detecting various biosignals.

Basic Study for Stress Analysis Using an Unconstrained BCG Monitoring System (무구속 심탄도 모니터링 시스템을 이용한 스트레스 분석 기초연구)

  • Noh, Yun-Hong;Jeong, Do-Un
    • Journal of Sensor Science and Technology
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    • v.20 no.2
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    • pp.118-123
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    • 2011
  • Heart related diseases mainly caused by heavy work load and increasing stress in human daily life. Therefore, researches on mobile healthcare monitoring for daily life has been carried out. Notably, wearable healthcare monitoring system which has least restriction has been tried to provide an emergency alert of abnormal heart rate. In this study, we developed chair type unconstrained BCG measurement system which able to perform continuous heart status monitoring at the office and daily life in the unconstrained way. Furthermore, adaptive threshold is used to detect the heart rate from BCG signals. The HRV(heart rate variability) is calculated from heart rate interval. ECG signal measured using conventional method and BCG signal measured using unconstraint system are carried out simultaneously for the purpose of performance evaluation. From the comparison result, BCG signal shows a similar heart beat characteristic as ECG signal. This proves the possibility of practical implementation of unconstraint healthcare monitoring system. In addition, medical examination like valsalva maneuver is performed to observe the changes in HRV due to stress. By performing valsalva maneuver, heart is said to be placed under an artificial physical stress condition. Under this artificial physical stress condition, the time and frequency domain of HRV parameters are evaluated.