• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.151-153
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• 1996

The purpose of this paper is the development of Integrated Bio-signal Management System(IBMS) using the network. IBMS is the system to manage the medical signals that measured from the each independent medical measurement system module. Each has a LAN. We developed the file-server network using Novell Netware. Also, we developed the Graphic User Interface software for IBMS using Visual C++ at Windows 3.1.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.199-202
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• 1996

In this paper, we suggested the combination of HMM(Hidden Markov Model) and MLP (Multi-Layer Perceptron) with GA(genetic algorithm) for a recognition of EMG signals. To describe EMG signal's dynamic properties, HMM algorithm was adapted and due to its outstanding abilities in static signal classification MLP was connected as a real processor. We also used GA( Genetic Algorithm) for improving MLP's learning rate. Experimental results showed that the suggested classifier gave higher EMG signal recognition rates with faster learning time than other one.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.182-184
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• 1996

Electrogastrography(EGG) is the technique by which gastric myoelectrical activity is recorded noninvasively, from surface electrodes on the abdominal skin. In older to know the relation between the signal of the gastric mil and the EGG signal, we measured the gastric myoelectrical activity in animals using surface electrodes and serosal electrodes, and measured the gastric contraction simultaneously using a strain gauge attached to the gastric wall we compared the signals with and without the gastric contraction.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.213-216
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• 1996

In this research we would like to develop an exercise ECG signal analysis algorithm using the wavelet transform, which is possible to analyze the time and the frequency simultaneously. Wavelet transform has an advantage of dividing the nonstationary signals into the high frequency and low frequency band successively. Thus, it can separates the unnecessary noises from the frequency band of QRS complex and then using the selected frequency band we could detect the QRS complex and ST segment.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 춘계학술대회
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• pp.3-5
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• 1996

Electrogastrography(EGG) is the technique by which gastric myoelectrical activity is recorded noninvasively, from electrodes on the abdominal skin. This gastric myoelectrical activity consists of two type signals : 1) slow wave, which is gastric basal rhyemic activity and is not closely related to gastric contraction 2) spike wave, which is generated only during contraction of the stomach. Despite many attempts made over the decades, analysis of surface EGG has not led to identification of the spike wave (gastric contraction) that would help the clinician to diagnose functional or organic diseases of the stomach. In this paper, we propose a feasible methods to detect gastric contraction by frequency-domain signal analysis of surface ECG signal. Synchronous measurement of gastric pressure by the antropyloric manometry with surface EGG established feasibility of this method.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.247-250
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• 1996

In this paper, we tried to analyze the mental states, especially alertness or degree of concentration, by analysis of Visual Evoked Potentials. Given task to the visual stimulation, there was warning signals to enhance the alertness of the subject. With the synchronization to the stimulus, we averaged the EP waves, and estimated the power spectrums to view difference between relatively less alerted state and more alerted state. Although there was no significant difference during the waiting for the stimuli, we could find some difference during task performing.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1993년도 추계학술대회
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• pp.156-159
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• 1993

In this paper, computerized BEAM (brain electrical activity map) was implemented for objective and quantitative multichannel EEG analysis. BEAM is calculated by 4 point Interpolation method and number of elements are 5140. Representation methods of BEAH are two. One is dot density method which classify brain electrical potential 9 levels by dot density and the other is color method which classify brain electrical 12 levers by different colors. In this BEAM, instantaneous change and average energy distribution over any arbitrary time interval of brain electrical activity could be observed and analyzed easily.

• 대한의용생체공학회:의공학회지
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• 제29권3호
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• pp.205-211
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• 2008

A method of detecting the specific patterns related to hand motions using the surface EMG(electromyogram) on an arm is proposed and tested. To do this, we obtain separately modeling parameters based on the LP, Prony estimator, and calculate the latency shift value between channels by cross-correlation function. Then, the coefficients and latency shift value are applied to the detection method to classify the EMG signals related to hand motions. Compared with the conventional methods, the present method are more useful to detect the motion intention of the user as an input device in the mobile and wearable computing environments. And, We expect that the results of this study are helpful in the development of rehabilitation devices for the handicapped.

• 대한의용생체공학회:의공학회지
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• 제26권1호
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• pp.31-35
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• 2005

A novel synthetic aperture method for real-time three-way dynamic focusing is proposed, which provides lateral beam patterns represented as the product of Fourier transforms of transmit subaperture, receive subaperture, and a synthetic window function. In the proposed method, all array elements are fired individually and for each firing echo signals are recorded from all elements of a receive subaperture moving along an array with the transmit element. The three-way dynamic focusing is then achieved by employing a synthetic aperture algorithm for two-way dynamic focusing and a synthetic focusing method for transmit dynamic focusing. Both theoretical analysis and computer simulation results show that the proposed method produces ultrasound beams with improved lateral resolution at all depths compared to the conventional phased array imaging and synthetic aperture focusing methods.

• 대한의용생체공학회:의공학회지
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• 제27권4호
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• pp.164-169
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• 2006

We have developed the spirometer system; many patients having weak respiration have difficulties in using conventional spirometers in hospitals, because their weak breath can be affected by the errors of inertia and instrumental pressure. We have developed a new ultrasound spirometer using an ARM 920T processor. To detect weak respiratory signals, we add a comparator circuit, which can afford more information of respiration characteristics such as respiration volume, directions, and velocities. We have also developed Gill for graphical display of respiration characteristics. Through the pilot test, it has been verified that the developed spirometer is operating reliably.