• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.683-686
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• 2024

의학계에서 심혈관 질환을 정확하게 진단하는 것이 중요해지면서 이를 진단하는 가장 대표적인 방법인 심전도 검사 또한 꾸준한 관심을 받아왔다. 이와 함께, 최근 웨어러블 기기의 발전으로 인해 병원에서 전극을 부착하지 않고 간편하게 심전도를 측정할 수 있게 되었다. 하지만, 이러한 기기들은 단일 사지 유도만을 측정할 수 있다는 한계가 명확하게 존재하여, 심혈관 질환의 정확한 진단이 어렵다. 이러한 배경 속에서, 단일 사지 유도(특히, Lead I 혹은 Lead II)를 활용해 표준 12 유도 심전도를 생성하는 연구들이 활발하게 진행되고 있다. 그러나 웨어러블 기기에서 측정이 가능한 단일 유도 중 어떠한 리드를 활용하는 것이 유리한가에 관한 연구는 매우 미흡하다. 본 논문은 두 가지의 실제 데이터셋과 세 가지의 심전도 생성 기법에 대한 실험을 통해 각기 다른 사지 유도를 활용하여 표준 12 유도 심전도를 생성하였을 때의 정확도를 비교한다. 실험 결과, Lead II 를 활용하였을 때가 다른 사지 유도를 활용하였을 때 보다 훨씬 정확한 표준 12유도 심전도를 생성할 수 있음을 보여준다.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.335-342
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• 2014

According to the recent trends in the growing elderly population, the chronically ill have increased. Thus the importance of the health care issues for them has emerged. In this paper, we want to implement a chronic disease management system using smart mobile devices. Proposed chronic disease management system is consisted of the biometric sensor, smart mobile devices, the patient management server, patient management DB, and patient symptoms analysis agent. The biometric sensor detects a biological information. Smart mobile devices receive the patient information from the sensor and transmit the information to the patient management server. The patient management server, patient management DB, and patient symptoms agent analysis agent analyze to process data delivered through a wireless communication network. Bio-signals includes modules of ECG, blood pressure, blood sugar and PPG. We are able to determine the current health status by monitoring measured biometric data through chronically ill health management system. We will focus on the individual service to be appropriate for a patient group in a mobile environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.463-467
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• 2000

In this paper, we have implemented the Web Server Patient Monitoring System using PPP. It is composed of two parts. The first part is the Analog board for acquiring ECG signals. The second part is the module for processing and transmitting the acquired signal. The second part is using PPP for dial-up networking, TCP/IP for Internet, HTTP for web browser and JAVA program for a Patient Monitoring Program in one chip. In home, it is not need to establish another network line because it uses a telephone line. And a user who want to monitor a patient's biosignal can monitor a patient without wholly open network because it is the network sewer. The Patient Monitoring Program runs on a web browser by downloaded JAVA codes when a user connect to this system. It can make the Home Patient Monitoring Program decrease cost. It can help to avoid the limitation of monitoring a patient.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.3
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• pp.671-677
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• 2012

A black-box program was implemented in order to monitor abnormal symptoms of human body irregularly occurring during sleep. The system consists of sensor probing body signals, auxiliary devices such as the alarm, lamp, network camera, and signal monitoring computer. Various types of sensors, PPG, ECG, EEG, temperature, respiration sensor, G-sensor, and microphone were used to more exactly identify the causes of abnormal symptoms. If a symptom occurs, the system records the patient's condition to provide information being utilized in the treatment. The sensors are attached on some locations of body being proper to check a specific type of abnormal reaction. Based on the normal range and type of measurement data, criteria of signal levels were set to distinguish abnormal reaction. An abnormal signal being probed, the program starts to operate the lamp, alarm, and network camera at the same time and stores the signal and video data.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.61-68
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• 2010

The objective of this study was to test the estimation possibility of driver's stress degrees with the HRV analysis. For this, first, HRV analysis was applied to the 5 driver's ECG signals which were acquired in 7 different stress situations. From this, the facts that HRV trend was different from that in long-distance driving and 6 parameters - meanRR, sdRR, HF, LF/HF, LFnorm, HFnorm were useful for the stress estimation in stress varying driving situation. Next, we designed 5 personalized linear regression models in which 6 HRV parameters were input and the outcomes were 7 different stress degrees. Finally, we tested each model for 5min-long 16 segments individually. Consequently, the models could not hit the stress degrees exactly in some segments but the correlation coefficients between original stress pattern and estimated stress pattern during entire driving showed reasonably high.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.11
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• pp.2107-2112
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• 2006

As growing up of elderly population, the interesting on healthcare system in normal life using W is increasing. An integrated u-healthcare service architecture with IEEE 802.11 and IEEE 802.15.4 based sensor network and code divisi(m multiple access(CDMA) public mobile telecommunication networks was designed and developed. Sensor nodes with electrocardiogram(ECG), body core temperature sensors are attached on the patients' body. The healthcare parameters are transferred to web server via CDMA mobile network or through existed LAN network. The existed LAN network is suggested to be used for continuous monitoring of patient's health status in hospital while mobile networks can be used for general purpose at home or outdoor where infra networks unavailable. This system enable healthcare personal to be able to continuously access, review, monitor and transmit the patients information whereever they are, whenever they want. And immediately check their status by using cellular phone and obtain detail information by communication with medical information server through CDMA. By using this developed integrated u-healthcare service architecture, we can monitor patients' health status for 24 hours.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4021-4030
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• 2015

Pulse wave is the physiological responses through the autonomic nervous system such as ECG. It is relatively convenient because it can measure the signal just by applying a sensor on a finger. So, it can be usefully employed in the field of U-Healthcare. The objects of this study are acquiring the PPG (Photoplethysmography) one of the way of measuring the pulse waves in non-invasive way using the CMOS image sensor on a smartphone camera, developing the portable system judging stressful or not, and confirming the applicability in the field of u-Healthcare. PPG was acquired by using image data from smartphone camera without separate sensors and analyzed. Also, with that image signal data, HRV (Heart Rate Variability) and stress index were offered users by just using smartphone without separate host equipment. In addition, the reliability and accuracy of acquired data were improved by developing additional hardware device. From these experiments, we can confirm that measuring heart rate through the PPG, and the stress index for analysis the stress degree using the image of a smartphone camera are possible. In this study, we used a smartphone camera, not commercialized product or standardized sensor, so it has low resolution than those of using commercialized external sensor. However, despite this disadvantage, it can be usefully employed as the u-Healthcare device because it can obtain the promising data by developing additional external device for improvement reliability of result and optimization algorithm.

• Science of Emotion and Sensibility
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• v.18 no.2
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• pp.19-30
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• 2015

The healing effect of the aroma treated fabrics with lavender and lemon aromas was investigated by assessing the autonomic nervous responses of human body. For this cause Lemon and lavender microcapsules were coated on a cotton fabric using a water-based acrylic binder, respectively. And the study created a total of four aroma treated fabrics at a concentration of 2% and 5% respectively. Electrocardiogram(ECG), skin conductance, and Blood flow, of ten participants were measured for 30 sec at a stable condition, at a stress status (working memory task), and at a stimulation status (after rubbing aroma treated fabrics). Subjective sensibilities of the aromas were also evaluated. With regard to the responses of the autonomic nervous system, in order to understand how the values gained after the normalization process would cause different physiological signals between the stable state and the aroma-stimulated state as well as between the stress state and the aroma-stimulated state, the study conducted a non-parametric test, friedman test as well and analyzed tendencies. LF/HF turned out to be significantly different to the stress state, and according to the results of the post-hoc comparison, lemon 5% presented statistically significant differences among the lavender 2%, lavender5%, lemon2%. Lemon 5% stimuli increased stress but stimuli consisting of the lavender 2%, the lavender 5% and the lemon 2% decreased stress because of a psychological rest. And the stimuli of the lavender 2%, the lavender 5%, the lemon 2% presented a healing effect in this research.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.59-65
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• 2016

The result of analyzing the cognitive reaction due to the color environment has been applied to various filed especially in medical field. Moreover, the study about the identification of patient's condition and examination the brain activity by collecting the bio-signal based on the color environment is being actively conducted. Even though, there were a variety of experiments by convention the color environment using a light or LED color, it still has a problem that affects the psychological information. Therefore, our proposed system using a HMD (Head Mounting display) to provide a completed color environment condition. This system uses the BMS(Biomedical System) to collect the biometric information which responds to the specific color condition and the human body response information can be measured by the development the Memory and Attention test on Mobile phone. The collection of Biometric information includes electro cardiogram(ECG), respiration, oxygen saturation (Sp02), Bio-impedance, blood pressure will store in the database. In addition, we can verify the result of the human body reaction in the color environment by Memory and Attention application. By utilizing the reaction of the human body information that is collected thought the proposed system, we can analyze the correlation between the physiological information and the color environment. And we also expect that this system can apply to the medical diagnosis and treatment. For future work, we will expand the system for prediction and treatment of Alzheimer disease by analyzing the visualization data through the proposed system. We will also do evaluation on the effectiveness of the system for using in the rehabilitation program.