• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.704-709
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• 2006

In this study, we suggest the effective storage structure and management method for XML-based electrocardiography(ECG) data to support the interoperability between medical information systems, and implement the metadata system of ECG data providing the web-based information service. ECG matadata management system include functions for storing and managing as well as reporting PDF service of ECG data. We analyzed a characteristics of the data and access patterns for XML-based ECG and then used the non-partitioning storing method and indexing the extracted metadata from the HL7 aECC for supporting the quick search. We, using the template mechanism, converts the XML-based results data into various formats in order to provide services of the ECG reporting.

• Journal of Digital Contents Society
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• v.17 no.2
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• pp.97-103
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• 2016

This work introduces techniques experienced for the electrocardiogram(ECG) visual analysis, able to characterize the major parameters and events with clinical relevance for heart failure management and cardiovascular risk assessment. In particular, it includes approaches for ECG data visual processing such as the variable charts, graphs base on the complex MIT-BIH ECG database. Through the experienced this works of ECG database visualization, so many researcher more easily access the complex ECG database and can intuitionally understand the meanings via a variable ECG visualized data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.834-837
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• 2015

In this paper, we designed the FPGA hardware-based real-time ECG simulator, which generates an analog ECG signal within the range of 0 to 5 volts and described function. The ECG signal generated by the simulator can be applied to laboratory tests, the medical device, and the calibration study in various ways. ECG signals generated by simulator are obtained with conventional 24bit quantization to generate the signal data, and they are sampled and quantized to 1kHz of the 8-bit resolution when used as actual data. The proposed simulator is implemented using xilix Spartan-3 and data are transmitted through an RS-232 between the PC and the FPGA simulator. The transmitted data are stored in the memory and the stored data are printed out with the analog ECG signal through DAC (0808). It can also control the heart rate (HR) via the two buttons level UP-DOWN. We used existing ECG input rating for the evaluation of the designed system and evaluated differential circuit for obtaining QRS waveform and the output signal. We finally could obtained proper the result.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.71-74
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• 2005

유비쿼터스 헬스케어는 생체신호 측정기술과 생체신호 측정기의 소형화 경량화로 인해 의료분야의 획기적인 변화를 가져올 것으로 기대된다. 그러나 생체신호 측정 기술의 발전에 비해서 대부분의 생체신호 데이터는 각 시스템 고유의 데이터 포맷을 사용하기 때문에 사용범위가 제한되고 데이터 공유 및 호환에 어려움이 있어 구조적이며 시스템 독립적인 XML을 사용하여 생체신호 데이터를 표현하는 방법이 필요하다. 본 논문에서는 XML 기반의 HL7 Annotated ECG(HL7 aECG) 표준을 이용해서 생체신호 데이터를 표현하고 저장하는 방법을 제시한다. 제시된 방법은 ECG, 심음의 두채널 파형 정보를 포함한 바이너리 포맷을 HL7 aECG 문서로 표현하며, HL7 aECG 문서의 특성을 고려하여 비분할 저장 방식을 사용하고 효율적인 검색을 위해 메타데이터를 추출하여 관계형 테이블에 저장하는 분할 저장 방식을 병행하여 사용한다. 또한 저장된 메타데이터를 효율적으로 검색 및 관리하는 메타데이터 시스템을 설계하며 설계된 구조는 향후 다른 시스템과 연계의 가능성을 제공한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.518-521
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• 2007

The functional wireless sensor node for u-healthcare application was developed. The developed sensor node can check the abnormality of ECG in some simple software in ROM of microprocess in the sensor node. The ECG signal is one of very important health signal form human body, and wavelike signal which is sampled as a sampling frequency between 100 and 400 Hz for digitalization, so the wireless data dor ECG signal is some heavy in Zigbee communication. Thus the sensor send the ECG signal to other sensor nodes or base station when it find abnormality in ECG signal is key technology to reduce the traffic between sensor nodes in wireless sensor network for u-healthcare, The sensor node does not need to transmit ECG data all time in wireless sensor network and to server. Using these sensor nodes, the healthcare system can dramatically reduce wireless data packet overload, the power consumption of battery in the sensor nodes and thus increase the reliability of the wireless system.

• The KIPS Transactions:PartC
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• v.18C no.3
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• pp.195-198
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• 2011

Recent expansion of the ubiquitous environment and improvement of the USN give lots of U-healthcare systems. In this paper, we design and implement a wireless ECG measurement system that can send ECG signals among the sensors and collector. It can also give almost the same precision as a hospital ECG system with mobility. The most important fact of the mobile ECG system is the signal data connectivity among the sensors and device such as signal cables or wires. we can eliminate the signal cable through the Zigbee sender and collector via implementing Zigbee-SD communication system that can receive the ECG signal data. We also implement ECG app software on the smart phone that can analyze and show the data results directly. It can give lots of mobility and usability under ubiquitous environment and would be a very efficient wireless ECG system for U-healthcare service.

• Broadcasting and Media Magazine
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• v.14 no.3
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• pp.47-57
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• 2009

최근 DMB (Digital Multimedia Broadcasting)서비스 활성화를 위한 맞춤시청형 DMB 방송 서비스를 제공하기 위해 한국정보통신기술협회 (TTA)에서는 DMB ECG (Electronic Content Guide) XML (eXtensible Markup Language) 표준의 재정 및 개정 작업을 완료하였다. 한국전자통신연구원 (ETRI) 에서는 DMB ECG XML 표준 및 DMB ECG 서비스의 유효성 검증을 위해 DMB ECG 메타데이터의 저작 단계에서 단말단의 소비에 이르는 맞춤시청형 DMB 시스템을 개발하였다. DMB ECG 메타데이터는 맞춤시청형 방송 서비스 제공을 위해 서브시스템 사이에 전달되는 핵심 요소로서 이를 저작, 관리 및 전송하기 위한 새로운 시스템이 요구된다. 본 논문에서는 DMB ECG XML 표준의 소개와 맞춤시청형 DMB 시스템의 전체 구조 및 메타데이터의 관리를 위한 서브시스템의 세부 구조와 기능에 대해 기술한다.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.137-142
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• 2019

This paper Various services exist to detect and monitor abnormal event. However, most services focus on fires and gas leaks. so It is impossible to prevent and respond to emergency situations for the elderly and severely disabled people living alone. In this study, AI model is designed and compared to detect abnormal event of heart rate signal which is considered to be the most important among various bio signals. Specifically, electrocardiogram (ECG) data is collected using Physionet's MIT-BIH Arrhythmia Database, an open medical data. The collected data is transformed in different ways. We then compare the trained AI model with the modified and ECG data.

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.29-38
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• 2024

After Transcatheter Aortic Valve Replacement (TAVR), comprehensive management of complications, including the need for Permanent Pacemaker Implantation (PPI), is crucial, increasing the demand for accurate prediction models. Departing from traditional image-based methods, this study developed an optimal PPI prediction model based on ECG data using the XGBoost algorithm. Focusing on ECG signals like DeltaPR and DeltaQRS as key indicators, the model effectively identifies the correlation between conduction disorders and PPI needs, achieving superior performance with an AUC of 0.91. Validated using data from two hospitals, it demonstrated a high similarity rate of 95.28% in predicting PPI from ECG characteristics. This confirms the model's effective applicability across diverse hospital data, establishing a significant advancement in the development of reliable and practical PPI prediction models with reduced dependence on human intervention and costly medical imaging.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.227-232
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• 2011

The QRS complex in ECG analysis is possible to obtain much information that is helpful for diagnosing different types of cardiovascular disease. This paper presents the preprocessor method to detect R-peak, RR interval, and HRV in wireless sensor node. The derivative of the electrocardiogram is efficiency of preprocessing method for resource hungry wireless sensor node with low computation. We have implemented R-peak and RR interval detection application based on dECG for wireless sensor node. The sensor node only transfers meaning parameter of ECG. Thus, implementation of sensor node can save power, reduce traffic, and eliminate congestion in a WSN.