• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.109-114
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• 2010

In this paper, the implementation of a human signal sensing module that has capabilities to check and restore the weak signals from the human body is presented. A module presented in this paper consists of processing and sensing elements related to human pulse and body temperature and a controller implemented with SoC design method. PPG data is detected by a noise filtering process toward the amplified signal which is from the operating frequency between 0.1Hz - 10Hz. A digital temperature sensor is used to check the body temperature. A sensor outputs the corresponding value of the electric voltage according to the body temperature. Moreover, this paper discusses the implementation of an enhanced microprocessor which is synthesized with VHDL as a part of the SoC development and used to control the entire module. The SoC processor is implemented on a Xilinx Spartan 3 XC3S1000 device and has the achieved operating frequency of 10MHz. The implemented SoC processor core is successfully tested with macro memories in FPGA and the experimental results are hereby shown.

• Smart Media Journal
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• v.5 no.3
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• pp.49-53
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• 2016

Related researches are progressing that method of non-contact method using the electromagnetic field on the human body by detecting the motion recognition signal is the limitations of time and space, so less than the existing systems. In this paper, we designed the circuit system that can implement the hardware that can detect the electric field signal of the human body non-contact method to increase the recognition rate to screen this digital waveform. The PCB design Used to automatically increase of composition of the circuit and the linkage of the comparator digital waveform with circuit simulation of the system. At same time for evaluate the characteristics of the whole circuit system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.8
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• pp.1347-1351
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• 2006

Microwave radiometry, as a non-invasive technique which doesn't pierce inside human and can measure the temperature, is to diagnose early the disease or abnormality by measuring the temperature inside human. In this paper, as an antenna for measuring human radiometric signals, we simulated and measured a dipole-type antenna with circular loops. As a measured result has a ultra wideband characteristic of $130%(0.8\sim3.8GHz)\;for\;511\leq-10dB$, it is considered to be suitable to detect the position and size of human tissue having various diseases.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.196-198
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• 2009

한방의학의 기초 진단요소로 활용할 수 있도록 인체 체질에 따른 전기전도 특성을 분류하기 위해, 생체신호 특성을 정량적으로 계측할 수 있는 방법에 대한 선행 기초연구를 수행하였다. 특정 "경혈"에서의 생체전기전도 특성을 통해 한의학적 진단에 필요한 생체신호의 종류와 병에 따른 신호를 객관적이고 정량적, 가시적으로 나타내기 위한 것이 본 연구의 목적이다. 전기전도성 측정은 양도락[7]의 계측원리를 사용하였으며, 기존 양도락 시스템의 계측 시 발생되는 제반 문제점을 보완하여 의학적 생체정보의 정량적, 가시적 획득을 위한 인체 전기전도 특성 계측 시스템을 구현하였다. 구현된 시스템을 통한 기초 실험 연구 결과에 대한 분석으로 한의학에서 필요로 하는 진단요소 획득 가능성을 알아보았다.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.63-69
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• 2017

This study is about the development of a smart bed control system to be able to detect the human position and body signal on bed. The main control board in the bed control system consists of the human sensing part, motor driving part and MCU. Here, to increase the credibility to check the human presence on bed, the human sensing part is combined with the human position part by membrane sensor and the body-signal detecting part of EMFI sensor. Also, remotely connecting the two detected signal to the application program of the app mode makes it possible to monitor human information on bed. In this paper, the remote function monitoring of the on-bed human information by bluetooth communication will be abe to make it applicable to the technical prevention method of the bed fall and absence accident in hospital and care facilities.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.10
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• pp.223-227
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• 2014

This paper presents an improvement method for human body sensing module and management system, specifically focused on the human body detection module with ultrasonic sensors to detect the usage of toilets and the management system to control the state of the toilets of the entire building. The proposed human body sensing module consists of the detection sensor to detect the movement of human body and the contact sensor to detect the position in a certain distance. The management system is configured of the control unit to process the signal transmitted from sensors, opening and closing valves according to the sensing signal, and the short range wireless communication unit to save the operational status data as well as transmit the data at regular intervals.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.465-468
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• 2014

In this paper, we describe a method capable of measuring biological signals including respiration, heart rate, blood pressure, and blood sugar, using UWB (Ultra Wide Band) pulses, while does not contact the human body. Physiological signal is a basic data for checking the health. Because life is longer and active area of human becomes very broad, the medical system and the physical human resources which are focused on existing hospital must be located close patient, In that way, they hope be to engage in healthy life by stepping a quick step and treatment. Thus, it must be fitted closely to the patient. It is necessary to monitor the health without inconvenience on an ongoing basis. How to utilize radio waves in this way have been studied for a long time. However, the characteristics of radio waves on the human body has not been accurately grasped and developed as such. Accordingly, it is a level that can not be applied clinically. So, it is not widely put to practical use. In this paper, We analyzed and described the impact and characteristics of UWB pulses to the human body is a problem existing.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2002.11a
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• pp.315-318
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• 2002

본 논문은 도플러 레이다의 원리를 이용하여 인체 호흡수 측정기술에 관하여 기술하였다. 주파수 1.59㎓ 대역의 전자파를 이용한 인체 호흡수 측정의 역사적 배경과 함께 자세한 측정원리 및 방법을 제시하였다. 인체의 흉곽 운동에 의해 반사된 신호의 도플러 주파수 차이만큼의 변이량을 오실로스코프 상에서 단위시간 당 호흡수를 나타내었다. 헤테로다인 방식의 시스템으로 측정하였으며, 폴디드 슬롯 안테나를 자체 제작하여 사용하였다. 이와 같은 인체 호흡수 측정기는 생명체 탐지 장치나 수면 무호흡증 측정기로 사용될 수 있으며 동작 감지 레벨을 높이면 그 적용 범위는 더욱더 늘어날 것으로 예상된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.484-487
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• 2014

In this paper, We describe antenna characteristics for efficiently detecting human signs using small, planar and low power antenna. Then we can measure biological signals including respiration, heart rate, blood pressure, and blood sugar, using UWB (Ultra Wide Band) pulses, while does not contact the human body. The antenna need stable and wideband impedance characteristic, because it use gaussian pulse signal. Usually it has trade-off between wideband impedance and gain. But we don't considered array type antennas because we want to need small size. Generally the antennas that classified as frequency independent satisfy our requirements. Frequency independent antennas include spiral, log-periodic, sinuous, and etc. These antennas are possible to have shape planar type. In this paper, We tested these kind antenna's characteristics in center frequency 5 GHz, Especially circular patch and sinuous antenna designed and analyzed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.4
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• pp.722-727
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• 2009

The technology of distinguishing human motion states is required in the areas of measuring and analyzing biosignals changing according to physical activities, diagnosing sleep disorder, screening the effect of treatment, examining chronic patients' kinetic state, prescribing exercise therapy, etc. The present study implemented a fuzzy inference system based on fuzzy rules that distinguish human motion states (tying, sitting, walking, and running) by acquiring and processing data of LAA, TAA, L-MAD, and T-MAD using ADXL202AE of Analog Devices embedded in an armband. The membership degree and fuzzy rules in each area of input (LAA, TAA, L-MAD, and T-MAD) and output (tying, sitting, walking, and running) data used here were determined using numeric data obtained from experiment. In the results of analyzing data for simulation generated in order of tying$\rightarrow$walking$\rightarrow$running$\rightarrow$tying, the sorting rate for motion states tying, sitting, walking, and running was 100% for each motion.