• The KIPS Transactions:PartA
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• v.17A no.3
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• pp.145-152
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• 2010

Most wearable system for mobile healthcare applications consists of three parts. The first part is the sensing elements based on bio-signal, the second is the circuit module for control, data acquisition and wireless communication and control and the third is garment with a built-in electrodes and circuits. The existing healthcare garment systems have to find a solution to signal-wire and uncomfortable and inappropriate electrode to long-term attachment. Even if the wireless communication is used for healthcare garment system, the interface between sensors and circuits have to use wires. To solve these problems, this paper use electrode using PEDOT coated PVDF nanoweb for ECG signal and PVDF film sensor for respiratory signal. And, we constructed garment network using digital yarn of 10um, and transmitted ECG and respiratory signal to mobile phone through the integrated circuit with bluetooth called station To evaluate feasibility of the proposed mobile healthcare garment system, we experimented with transmission and measurement of ECG and respiratory signal using nanoweb electrode and digital yarn. We got a successful result without noise and attenuation.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1257-1264
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• 2019

The traditional cuff-based method for BP(Blood Pressure) measurement is not suitable for continuous real-time BP measurement techniques. For this reason, the previous studies estimated various blood pressures by fusion with the electrocardiography (ECG) and photoplethysmogram (PPG) sensor signals. However, conventional techniques based on PPG bio-sensing measurement face many challenging issues such as noisy supply fluctuation, small pulsation, and drifting non-pulsatile. This paper proposed a novel BP estimation methods using PPG and ECG sensors, which can be derived from the relationship between PPG and ECG using PTT(Pulse Transit Time) and PWV(Pulse Wave Velocity). Unlike conventional height ratio features, which are extracted on the basis of the peaks in the PPG and ECG waveform. The proposed method can be reliably obtained even if there are missing peaks among the sensed PPG signal. The increased reliability comes from periodical estimation of the peak-to-peak interval time using ECG and PPG. After 250,000 times trials of the blood pressure measurement, the proposed estimation technique was verified with the accuracy of ±28.5% error, compared to a commercialized BP device.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.4
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• pp.965-972
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• 2011

As an aged population has increased in Korea, the number of patients with chronic disease has soared up as well. The rapid increase of the chronic disease triggers a need of new paradigm of healthcare. In terms of data transmission of healthcare system, a use of data-transmission protocol based on bluetooth could be dismal in application of healthcare due to its postponement of connection. On the contrary, WPAN is evaluated to be proper to support the application of healthcare in restricted geographic areas. In addition, the bluetooth, a base of the current wireless network, doesn't support a special mechanism to cope up with emergent patients because of its delayed connection among devices. Against this backdrop, this study aims to design an integrated interface of multi bio-sensing and suggest a measuring and monitering system for the patients with chronic illnesses by using Zigbee of WPAN as a sufficient bandwidth is anticipated owing to frequent deliveries of complicated biological signals.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.34 no.4
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• pp.245-258
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• 2008

We describe here how we can use microfluidic technologies for fabricating functional materials that could be potentially utilized in cosmetics; these include void structures, functional particulate materials, shell materials, and multi-layered colloids. We can obtain these functional materials as microfluidic approaches provide precise control over both outer dimensions and inner morphology of emulsion drops in picoliter-volume scales with high throughput. We have confirmed that this technique has a great potential to fabricate novel particles and capsules with a variety of chemical compositions as well as higher orders of layers. This microfluidic approach will allow us to develop a lot of new techniques that are useful for a variety of applications, including delivery systems, chemical separations, bio-sensing, actuators, and so on. We do believe that these new techniques will help cosmetic industry not only give rise advanced functional materials and systems but also widen its product categories.

• Korean Journal of Agricultural Science
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• v.42 no.1
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• pp.63-71
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• 2015

Path planning is an essential part for traveling and mowing of autonomous lawn mower tractors. Objectives of the paper were to analyze operation patterns by a skilled farmer, to extract and optimize waypoints, and to demonstrate generation of formatted planned path for autonomous lawn mower tractors. A 27-HP mower tractor was operated by a skilled farmer on grass fields. To measure tractor travel and operation characteristics, an RTK-GPS antenna with a 6-cm RMS error, an inertia motion sensing unit, a gyro compass, a wheel angle sensor, and a mower on/off sensor were mounted on the mower tractor, and all the data were collected at a 10-Hz rate. All the sensor data were transferred through a software program to show the status immediately on the notebook. Planned path was generated using the program parameter settings, mileage and time calculations, and the travel path was plotted using developed software. Based on the human operation patterns, path planning algorithm was suggested for autonomous mower tractor. Finally path generation was demonstrated in a formatted file and graphic display. After optimizing the path planning, a decrease in distance about 13% and saving of the working time about 30% was achieved. Field test data showed some overlap, especially in the turning areas. Results of the study would be useful to implement an autonomous mower tractor, but further research needs to improve the performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.481-484
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• 2011

Recent Automotive technology is driven from mechanical device to the electronic components which improve the vehicle's safety and convenience. The future competitiveness of the car will come from safety issues and energy efficiency, convenience and the application of the technologies. In this study, various techniques for driver drowsiness detection are introduced and compared with each others. The advantages and disadvantages of commercially available technologies and developed technologies are compared. To enhance the detection resolution, multiple sensing technologies are introduced in this paper. The feasibility of two drowsiness detection methods, that is, existing camera image recognition method and bio signal analysis method, are tested. The direct drowsiness detection by the camera image of eyes and driver's vital signs detected indirectly are combined and analyzed by the developed noble algorithm for stress, fatigue, drowsiness detection with a more accurate high-drowsiness detection.

• Journal of the Ergonomics Society of Korea
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• v.29 no.1
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• pp.113-120
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• 2010

This research is to evaluate the arousal level by using cardiovascular response. PPG was used in this study as one of the method of measuring it rather than ECG (Electrocardiography) for the purpose of solving ergonomic problem of sensing. The participants were in the age group of 20 (mean=24, standard deviation=1.25): five men and five women. Each experiment composed with four identical sets. First, a black screen was displayed for 30 second rest. Then, the prepared 6 pair images were randomly presented for 10 second stimulation and for 30 second non-stimulation. PPG was measured on the earlobes of experimenters at 200Hz sampling frequency. PPG amplitude, PPI(Pulse to Pulse Interval), and PRV(Pulse Rate Variability) were analyzed according to arousal level. T-test was performed to compare between the PPG variables of rest and relaxation, rest and arousal, and relaxation and arousal. Relative to the rest state, PPG amplitude decreased in relaxed state and increased in aroused state. Relative to the rest state, PPI decreased in both emotional states. However, more significant decline was observed in aroused state. PRV's LF and HF were used in the form of LF/HF to compare between the relaxed and the aroused state. Therefore, PPG signal showed significant differences between relaxed and aroused state. In conclusion, evaluation of human arousal level used in the PPG analysis demonstrated that PPG has better usability and comforter measurement than ECG and is clearly an alternative method of measuring arousal level.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.227-232
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• 2006

스마트 의류의 발달은 pc 를 분산, 부착한 웨어러블 컴퓨터의 연구로부터 진행되어 왔으며, 1990 년대 후반 이후 착용자 감성을 고려해 더욱 편안하며, 의복과 유사한 외관을 디자인 하려는 노력이 전개되고 있다. 스마트 의류는 엔터테인먼트, 비즈니스, 스포츠, 의료 분야에 적용 등 다양한 애플리케이션으로 연구, 개발되고 있으며, 최근 들어서는 생체신호 센서를 이용한 건강관리용 스마트 의류의 연구가 주목 받고 있다. 건강에 대한 관심과 라이프 스타일의 변화, 고령화 사회의 예상으로 인해 건강복지에 대한 필요성이 증가하는 최근 트렌드를 볼 때, 건강 관리용의 스마트 의류의 수요는 증가될 것으로 예상된다. 이에 본 연구에서는 기본적인 생체신호 뿐 아니라 심장 질환, 호흡기 질환을 측정할 수 있는 건강 개념의 스마트 의류 디자인을 개발하였다. 이 스마트 의류는 기존의 의복의 형태와 착용감은 그대로 유지하면서 의복 착장 시 생체 신호를 전송, 모니터링 할 수 있도록 설계하였다. 개발된 의복은 심전도, 체온 센서로 구성되어 있으며, 이를 통해 심전도, 호흡량, 맥박, 체온 등의 생체신호를 얻을 수 있다. 디자인 프로토타입의 기기 위치 선정은 선행 연구에서 제시한 '착용성 향상을 위한 웨어러블 컴퓨터 디자인 지침' 을 기반으로 설계하여 착장 시 기기로 인한 이물감이 느껴지지 않도록 하였으며 또한, 기기의 하중을 최소화 하였다. 의복의 디자인은 센서의 안정된 부착과 활동성, 센서의 정확한 측정을 고려하여 표피의 면적 변화를 고찰하여 디자인하였다. 이 스마트 의류는 노인, 건강 이상자, 통원 치료자에게 평상시의 건강을 체크 함으로써 보다 원활한 치료의 가능으로 의료 복지에 기여할 것으로 예상되며, 디자인 프로토타입의 개발을 통하여 센서기반 스마트 의류의 가능성을 제시했다는 점에서 이 연구의 의의가 있다.

• Journal of Biosystems Engineering
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• v.34 no.4
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• pp.269-277
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• 2009

In this research, the vegetation growth and rice taste of the liquid fertilizer applied fields (LF) were compared with those of chemical fertilizer applied fields(CF) in order to confirm the possibility of methane fermentation digested sludge as liquid fertilizer using precision agriculture and remote sensing technology. In panicle initiation stage, the vegetation growth at LF was 60%~80% of it at CF and there were significant difference of nitrogen contents between CF and LF. The estimation model of nitrogen contents was established by GNDVI (R=0.607, RMSE=$1.04\;g/m^2$, n=36, p<0.01). In heading stage, vegetation growth at LF went close to it at CF as ratio of 80%~95%. The nitrogen content estimation model was also established (R=0.650, RMSE=$1.73\;g/m^2$, n=35, p<0.01) and there were significant difference of spatial variability between LF and CF. There were not significant difference of rice taste and it's elements, when three samples, which were more than twice of standard deviation, were excepted. The protein contents estimation model using GNDVI of before harvesting (R=0.700, RMSE=0.470%, n=29, p<0.01) were more suitable to predict the protein contents at harvesting comparing with it of heading stage(R=0.610, RMSE=0.521%, n=29, p<0.01).

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.438-441
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• 2007

Recently, due to molecular biology and engineering technology, DNA microarray makes people watch thousands of genes and the state of variation from the tissue samples of living body. With DNA Microarray, it is possible to construct a genetic group that has similar expression patterns and grasp the progress and variation of gene. This paper practices Cluster Analysis which purposes the discovery of biological subgroup or class by using gene expression information. Hence, the purpose of this paper is to predict a new class which is unknown, open leukaemia data are used for the experiment, and MCL (Markov CLustering) algorithm is applied as an analysis method. The MCL algorithm is based on probability and graph flow theory. MCL simulates random walks on a graph using Markov matrices to determine the transition probabilities among nodes of the graph. If you look at closely to the method, first, MCL algorithm should be applied after getting the distance by using Euclidean distance, then inflation and diagonal factors which are tuning modulus should be tuned, and finally the threshold using the average of each column should be gotten to distinguish one class from another class. Our method has improved the accuracy through using the threshold, namely the average of each column. Our experimental result shows about 70% of accuracy in average compared to the class that is known before. Also, for the comparison evaluation to other algorithm, the proposed method compared to and analyzed SOM (Self-Organizing Map) clustering algorithm which is divided into neural network and hierarchical clustering. The method shows the better result when compared to hierarchical clustering. In further study, it should be studied whether there will be a similar result when the parameter of inflation gotten from our experiment is applied to other gene expression data. We are also trying to make a systematic method to improve the accuracy by regulating the factors mentioned above.