• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1996년도 추계학술대회
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• pp.203-206
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• 1996

During the electromyographic evaluation, the presence and site of lession may be predicted by a detection of denervation potentials such as fibrllation potentials or positive sharp waves in the group of muscles. Currently, clinicians diagnose the neuropathy by detecting fibrillation potentials during EMG tests, and sometimes it is not easy to distinguish between denervation potentials and endplate spikes. The purpose of this study was to find statistically significant parameters for the quantitative distinction between denervation potentials and endplate spikes. Endplate spikes and denervation potentials from the EDB muscle of 10 patients were extracted. Also, EMG signals were classified by experienced clinicians, and were collected using a 12 bit ADC with a sampling rate of 20KHz for the duration of 400msec. In order to find statistically significant parameters, positive and negative peaks were used for analysis. As a results, standard deviation of the endplate spikes and denervation potentials showed more significant difference than others specially for the positive sharp waves. It was concluded that the results of this study could be used to develope an automated system of a EMG analysis.

• Journal of Electrical Engineering and Technology
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• 제7권2호
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• pp.264-272
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• 2012

In the field of medical diagnostics, interested parties have resorted increasingly to medical imaging. It is well established that the accuracy and completeness of diagnosis are initially connected with the image quality, but the quality of the image is itself dependent on a number of factors including primarily the processing that an image must undergo to enhance its quality. This paper introduces an algorithm for medical image compression based on the quincunx wavelets coupled with SPIHT coding algorithm, of which we applied the lattice structure to improve the wavelet transform shortcomings. In order to enhance the compression by our algorithm, we have compared the results obtained with those of other methods containing wavelet transforms. For this reason, we evaluated two parameters known for their calculation speed. The first parameter is the PSNR; the second is MSSIM (structural similarity) to measure the quality of compressed image. The results are very satisfactory regarding compression ratio, and the computation time and quality of the compressed image compared to those of traditional methods.

• 대한의용생체공학회:의공학회지
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• 제41권2호
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• pp.107-119
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• 2020

The deep neural networks (DNN) that can replicate the behavior of the human expert who recognizes the characteristics of ECG waveform have been developed and studied to analyze ECG. However, although the existing DNNs can not provide the explanations for their decisions, those trials have attempted to determine whether patients have certain diseases or not and those decisions could not be accepted because of the absence of relating theoretical basis. In addition, these DNNs required a lot of training data to obtain sufficient accuracy in spite of the difficulty in the acquisition of relating clinical data. In this study, a small-sized continuous data processing DNN (C-DNN) was suggested to determine the simple characteristics of ECG wave that were not required additional explanations about its decisions and the C-DNN can be easily trained with small training data. Although it can analyze small input data that was selected in narrow region on whole ECG, it can continuously scan all ECG data and find important points such as start and end points of P, QRS and T waves within a short time. The star and end points of ECG waves determined by the C-DNNs were compared with the results performed by human experts to estimate the accuracies of the C-DNNs. The C-DNN has 150 inputs, 51 outputs, two hidden layers and one output layer. To find the start and end points, two C-DNNs were trained through deep learning technology and applied to a parameter acquisition algorithms. 12 lead ECG data measured in four patients and obtained through PhysioNet was processed to make training data by human experts. The accuracy of the C-DNNs were evaluated with extra data that were not used at deep learning by comparing the results between C-DNNs and human experts. The averages of the time differences between the C-DNNs and experts were 0.1 msec and 13.5 msec respectively and those standard deviations were 17.6 msec and 15.7 msec. The final step combining the results of C-DNN through the waveforms of 12 leads was successfully determined all 33 waves without error that the time differences of human experts decision were over 20 msec. The reliable decision of the ECG wave's start and end points benefits the acquisition of accurate ECG parameters such as the wave lengths, amplitudes and intervals of P, QRS and T waves.

• 한국전문물리치료학회지
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• 제17권3호
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• pp.77-86
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• 2010

The purpose of this study was to investigate the variations in gait parameters in terms of the type of arm sling used in hemiplegic patients. Ten patients with hemiplegia and ten healthy adults participated in this study and walked at self-selected speeds on a GAITRite-instrumented carpet. The activities of the opposite shoulder girdle muscle including the latissimus dorsi, anterior deltoid, and posterior deltoid were simultaneously recorded using surface EMG during gait. They were randomly assigned a condition: without an arm sling, a single strap arm sling, a Harris hemi arm sling, a Rolyan humeral cuff arm sling, and a Bobath roll arm sling. The following gait variables were analyzed: the temporo-spatial parameters of velocity, step length, stride length, swing phase, stance phase, single support, step time and toe in/toe out. The statistical analysis was one-way ANOVA with repeated measures to compare the variation of each variable. In comparison of parameters in each trial in the hemiplegia group, the non-affected side stride length, single support, and toe in/toe out resulted in statistically significantly changes (p<.05). But without an arm sling group did not show any gait parameter differences with arm slings. This study found that several arm slings varied gait patterns in patients with hemiplegia and in healthy adults. In the EMG analysis, the Rolyan humeral cuff arm sling and the Bobath roll arm sling were higher muscle activity for the latissimus dorsi muscle than did the single strap ann sling. Further study should examine the problems that appeared in patients who worn arm slings by focusing on a larger number of subjects and by studying the variety of responses in more detail using an assessment tool that measures variation.

• 대한의용생체공학회:의공학회지
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• 제35권6호
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• pp.234-241
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• 2014

This study was designed to investigate the effects of stimulation intensity and inter-electrode distance on the parameters of the measured sensory nerve signal. 30 healthy subjects participated in this study. Sensory nerve signals were elicited by four different pulse amplitudes, i.e., 3, 6, 9, 12 mA, with the pulse width fixed at $500{\mu}s$. The sensory nerve signals elicited by the four different pulse amplitudes were measured by four different inter-electrode distances (20, 30, 40, and 50 mm). We extracted four parameters (pulse amplitude, pulse width, pulse area, and latency time from stimulation) from the sensory nerve signals. The measured pulse amplitude and pulse width were increased when the measuring inter-electrode distance was increased while the stimulating pulse amplitude was fixed. The measured pulse amplitude was saturated with the stimulating pulse amplitudes of over 6 mA while measuring inter-electrode distance. Under the same condition, measured pulse width was increased, and sensory nerve signal was initiated early. Sensory nerve signals, specially those of pulse amplitude, were distorted by a differential amplification method that commonly measures the human body signal. The experimental results indicate that the differential amplification method is required to be replaced when measuring nerve signals. Our observations suggested that the hyperpolarization of the action potential of the sensory nerve signal for preventing distortion could be used to clarify the correlation between the parameters of the sensory nerve signals and quantification of sensations.

• Current Optics and Photonics
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• 제3권6호
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• pp.555-565
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• 2019

Development of a biomarker for predicting tumor-treatment efficacy is a matter of great concern, to reduce time, medical expense, and effort in oncology therapy. In a preclinical study, we hypothesized that the blood-flow parameter based on laser speckle flowmetry (LSF) could be a potential indicator to estimate the efficacy of breast-cancer treatment. To verify this hypothesis, a 13762-MAT-B-III rat breast tumor was grown in a dorsal skinfold window chamber applied to a nude mouse, and the change in blood flow rate (BFR) - or the speckle flow index (SFI) is used together as the same meaning in this manuscript - was longitudinally monitored during tumor growth and metronomic cyclophosphamide treatment. Based on the daily LSF angiogram, several BFR parameters (baseline SFI, normalized SFI, and △rBFR) were compared to tumor size in the normal, treated, and untreated tumor groups. Despite the incomplete tumor treatment, we found that the daily changes in all BFR parameters tended to have partially positive correlation with tumor size. Moreover, we observed that the changes in baseline SFI and normalized SFI responded one day earlier than the tumor shrinkage during chemotherapy. However, daily variations in the hypercapnia-induced △rBFR lagged tumor shrinkage by one day. This study would contribute not only to evaluating tumor vascular response to treatment, but also to monitoring blood-flow-mediated diseases (in brain, skin, and retina) by using LSF in preclinical settings.

• Imaging Science in Dentistry
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• 제39권4호
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• pp.185-189
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• 2009

Purpose : The purpose of this study was to investigate how to detect proximal caries using line profile and validate linear measurements of proximal caries lesions by basic digital manipulation of radiographic images. Materials and Methods : The X-ray images of control group (15) and caries teeth (15) from patients were used. For each image, the line profile at the proximal caries-susceptible zone was calculated. To evaluate the contrast as a function of line profile to detect proximal caries, a difference coefficient (D) that indicates the relative difference between caries and sound dentin or intact enamel was measured. Results : Mean values of D were $0.0354{\pm}0.0155$ in non-caries and $0.2632{\pm}0.0982$ in caries (p<0.001). Conclusion : The mean values of caries group were higher than non-caries group and there was correlation between proximal dental caries and D. It is demonstrated that the mean value of D from caries group was higher than that of control group. From the result, values of D possess great potentiality as a new detection parameter for proximal dental caries.

• 대한의용생체공학회:의공학회지
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• 제24권6호
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• pp.523-531
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• 2003

본 연구에서는 표면 전극을 사용하는 8채널 전기자극 시스템을 개발하였고. 이 시스템을 이용하여 하반신 마비한자의 근력강화를 위한 전기자극 엑서사이즈와 FES 보행을 하였다. 본 연구에서 개발한 전기자극 시스템은 컴퓨터 프로그램, 전기자극기, 그리고 컴퓨터 프로그램과 전기자극기를 연결하는 통신부분으로 구성되어 있다. 컴퓨터 프로그램에서는 마우스를 이용하여 임의의 자극 패턴을 손쉽게 구성하고 편집학 수 있으며 이렇게 구성/편집된 자극 패턴은 동원곡선(recruitment curve)을 통하여 자극 파라미터로 변환된다. 자극 파라미터는 직렬통신을 이용하여 전기자극기에 전달된다. 전기자극기는 주제어부에 1개, 각 채널에 1개씩 총 9개의 마이크로프로세서로 구성되어 있다. 주제어부의 마이크로프로세서가 컴퓨터 프로그램과 통신을 하고 각 채널의 마이크로프로세서를 제어한다. 본 연구에서 개발한 기능적 전기자극 시스템으로 하반신 마비환자에게 100주 동안 전기자극 엑서사이즈를 실시한 결과 근력, 다리둘레, 그리고 피로저항성의 증가를 볼 수 있었다. 전기자극 엑서사이즈로 무릎신근(knee extensor muscle)이 체중을 지지한 수 있을 정도로 증가한 후에 FES 보행을 시작하였고, 현재 2분 동안 50m 이상 보행할 수 있다.

• Mass Spectrometry Letters
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• 제13권3호
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• pp.49-57
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• 2022

During electrospray ionization mass spectrometry (ESI-MS) analysis of proteins, the addition of supercharging agents allows for adjusting the maximal charge state, affecting the charge state distribution, and increases the number of ions reaching the detector thus, improving signal detection. We postulate that in di-substituted arene isomers, molecules with higher polarizability values should generate greater interactions and hence elicit higher signal intensities. Polarizability is an electronic parameter which has been demonstrated to predict many chemical interactions. Many properties can be predicted based on charge polarization. Molecular polarizability is a vital descriptor for explaining intermolecular interactions. We employed DFT (density functional/Hartree-Fock hybrid model, B3LYP)-derived descriptors and computed molecular polarizability for ten disubstituted arene reagents, each set made up of three (ortho, meta, para) isomers, with reported use as supercharging reagents during ESI experiments. The atomic electronic inputs were ionization potential (IP), electron affinity (EA), electronegativity (𝛘), hardness (η), chemical potential (µ), and dipole moment (D). We determined that the para isomers showed the highest polarizability values in nine of the ten sets. There was no difference between the ortho and meta isomers. Polarizability also increased with increasing complexity of the substituents on the benzene ring. Polarizability correlated positively with IP, EA, 𝛘, η, and D but correlated negatively with chemical potential. This DFT study predicts that the para isomers of di-substituted arene isomers should elicit the strongest ESI responses. An experimental comparison of the three isomers, especially of larger supercharging molecules, could be carried out to establish this premise.

• 대한의용생체공학회:의공학회지
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• 제36권1호
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• pp.22-30
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• 2015

Melanoma is originated from the melanocyte producing the melanin which determines the complexion, and it has the highest mortality among skin cancers. Acral lentiginous melanoma(ALM) arises from extremities such as hands, feet or fingernails. Since the appearance of ALM is different from melanoma on the body, conventional auto diagnosis systems for melanoma is inappropriate to detect ALM. Therefore, ALM is typically difficult to distinguish from general nevus, resulting in delayed diagnosis and bad prognosis. In this paper, we firstly introduce a determination method for ALM by dermatologists and propose a method to rotate dermoscopic images automatically as a pre-processing for facilitating the easy determination of ALM and to select the optimal value of the Gaussian differentiation filter parameter which is significant for precise pattern extraction using the scale space analysis. From experimental results, it is shown that there exists the consistency between empirical values of the Gaussian differential filter parameter and optimal values derived from the scale space analysis to distinguish nevus and ALM.