• Title/Summary/Keyword: ECG medical measurement equipment

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Research for Implementation of biomedical signal measurement platform using the Cortex-A9 (Cortex-A9을 이용한 생체신호 측정 공통플랫폼 구현에 대한 연구)

  • Kim, Do-kyun;Kim, Young-kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.493-495
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    • 2014
  • With the expansion of the medical field worldwide, interest in medical devices is also increasing. However, since the field of the special nature of the medical device, is utilized in accordance with the respective devices is determined, the amount depending on the fields, to purchase a medical device is increased. Function digital parts (such as ECG, SpO2) are similar to each other, but there is a disadvantage by applying the method of designing separate each product, the reproduction of the program is difficult, Each product, each product the various OS is used, so that either can not be reused even if a program for the same function, it takes time to develop additional. In this paper, I would like to propose a study of the implementation of the platform of the biological signal of medical equipment to try solve the problems of the medical equipment of these.

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Design of the Medical Thermal Array Printer Module Based on Microcontroller (마이크로 콘트롤러를 이용한 의료용 열전식 프린터 모듈의 개발에 관한 연구)

  • Lee, Myoungho;Kong, Inwook;Kwon, Hyukje
    • Journal of Biomedical Engineering Research
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    • v.17 no.1
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    • pp.129-138
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    • 1996
  • This paper describes design techniques of general purpose thermal array printer, especially easily applicable to medical measurement equipment. The'general'means that the proposed thermal array printer can be applied to not only medical field but other industrial field by establishing the eligible protocol. The thermal array printer is composed of i)MPU and its peripherals ii)printer head control, iii)diverse protection circuits, and iv)serial communication. In this paper the performance of the proposed thermal array printer was evaluated by applying to an 3 channel electrocardiogram recorder. The propped system can support'Hangul'text as well as alphanumeric characters and any bitmap image.

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Design and implementation of comb filter for multi-channel, 24bit delta-sigma ADC (다채널 24비트 델타시그마 ADC 용 콤필터 설계 및 구현)

  • Hong, Heedong;Park, Sangbong
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.3
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    • pp.427-430
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    • 2020
  • The multi-channel analog signal to digital signal conversion is increasing in the field of IoT and medical measurement equipments. It has chip area and power consumption constraints to use a few single or 2_channel ADC for multi_channel application. This paper described to design and implement a proposed comb filter for multi-channel, 24bit ADC. The function of proposed comb filter is verified by matlab simulation and the FPGA test board. It was fabricated using SK Hynix 0.35㎛ CMOS standard process. The performance and chip size is compared with the existing design method that uses integrator/differentiator and FIR construction. The proposed comb filter is expected to use the IoT product and medical measurement equipments that require multi-channel, low power consumption and small hardware size.

Design of The Patient Monitoring System based on Wearable Device for Multi-biosignal Measurement (다중 생체신호 측정 웨어러블 디바이스 기반 환자 모니터링 시스템 설계)

  • Lee, Minhye;Chung, Gisoo;Jeong, Dongmyong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.7
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    • pp.103-109
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    • 2017
  • In order to apply the patient monitoring system to the hospital field, it is necessary to be able to measure and analysis data the major bio-signals that are basically covered by the existing patient monitoring system. We have implemented a wearable device and the patient monitoring system for measuring ECG and oxygen saturation. The implemented system transmits the measured bio-signal to the server on the nursing station via Bluetooth. It is represented by graph waveforms and numerical values that can be checked by the medical staff in the patient monitoring system. The validity of this system is verified by comparing the data collected through the designed system with the data obtained from the conventional equipment.

Reproducibility of Regional Pulse Wave Velocity in Healthy Subjects

  • Im Jae-Joong;Lee, Nak-Bum;Rhee Moo-Yong;Na Sang-Hun;Kim, Young-Kwon;Lee, Myoung-Mook;Cockcroft John R.
    • International Journal of Vascular Biomedical Engineering
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    • v.4 no.2
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    • pp.19-24
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    • 2006
  • Background: Pulse wave velocity (PWV), which is inversely related to the distensibility of an arterial wall, offers a simple and potentially useful approach for an evaluation of cardiovascular diseases. In spite of the clinical importance and widespread use of PWV, there exist no standard either for pulse sensors or for system requirements for accurate pulse wave measurement. Objective of this study was to assess the reproducibility of PWV values using a newly developed PWV measurement system in healthy subjects prior to a large-scale clinical study. Methods: System used for the study was the PP-1000 (Hanbyul Meditech Co., Korea), which provides regional PWV values based on the measurements of electrocardiography (ECG), phonocardiography (PCG), and pulse waves from four different sites of arteries (carotid, femoral, radial, and dorsalis pedis) simultaneously. Seventeen healthy male subjects with a mean age of 33 years (ranges 22 to 52 years) without any cardiovascular disease were participated for the experiment. Two observers (observer A and B) performed two consecutive measurements from the same subject in a random order. For an evaluation of system reproducibility, two analyses (within-observer and between-observer) were performed, and expressed in terms of mean difference ${\pm}2SD$, as described by Bland and Altman plots. Results: Mean and SD of PWVs for aorta, arm, and leg were $7.07{\pm}1.48m/sec,\;8.43{\pm}1.14m/sec,\;and\;8.09{\pm}0.98m/sec$ measured from observer A and $6.76{\pm}1.00m/sec,\;7.97{\pm}0.80m/sec,\;and\;\7.97{\pm}0.72m/sec$ from observer B, respectively. Between-observer differences ($mean{\pm}2SD$) for aorta, arm, and leg were $0.14{\pm\}0.62m/sec,\;0.18{\pm\}0.84m/sec,\;and\;0.07{\pm}0.86m/sec$, and the correlation coefficients were high especially 0.93 for aortic PWV. Within-observer differences ($mean{\pm}2SD$) for aorta, arm, and leg were $0.01{\pm}0.26m/sec,\;0.02{\pm}0.26m/sec,\;and\;0.08{\pm}0.32m/sec$ from observer A and $0.01{\pm}0.24m/sec,\;0.04{\pm}0.28m/sec,\;and\;0.01{\pm}0.20m/sec$ from observer B, respectively. All the measurements showed significantly high correlation coefficients ranges from 0.94 to 0.99. Conclusion: PWV measurement system used for the study offers comfortable and simple operation and provides accurate analysis results with high reproducibility. Since the reproducibility of the measurement is critical for the diagnosis in clinical use, it is necessary to provide an accurate algorithm for the detection of additional features such as flow wave, reflection wave, and dicrotic notch from a pulse waveform. This study will be extended for the comparison of PWV values from patients with various vascular risks for clinical application. Data acquired from the study could be used for the determination of the appropriate sample size for further studies relating various types of arteriosclerosis-related vascular disease.

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