{"title":"Optimizing Gait Parameters and Insole Sensor Positioning for Parkinson's Disease Assessment","authors":"Jiaxin Ma, K. Kameyama, M. Nakagawa","doi":"10.1145/3168776.3168780","DOIUrl":"https://doi.org/10.1145/3168776.3168780","url":null,"abstract":"Gait abnormality is a characteristic symptom of Parkinson's disease (PD) and could be exploited to assess PD progression. In this study, we examined various gait parameters and insole sensor positioning for evaluating PD. We first verified the results from several published papers in which gait parameters exhibited significant differences between PD patients and healthy controls. Then, we investigated additional gait parameters derived from individual sensors in 8 positions across the sole. The result demonstrated that the balls, heels, and center of arches are valuable positions for PD gait assessment. Furthermore, a random forests method showed the most important gait parameters to predict PD include swing time on the balls and medial arches, double support time on the balls and medial arches, and ground reaction forces on the heels. The optimization of sensor positioning and gait parameters suggests a low-cost and effective way identify Parkinsonian gait characteristics.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"300 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134278078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Spectral Characteristics of Microcirculatory Signals Response to Muscle Stretching among Diabetic Smokers","authors":"J. Bau, Yue-Der Lin, B. Huang","doi":"10.1145/3168776.3168790","DOIUrl":"https://doi.org/10.1145/3168776.3168790","url":null,"abstract":"Cigarette smoking is reported to be the major risk factor for endothelial dysfunction. The variations of the spectral compositions of microcirculatory perfusion signal could provide the information related to the regulatory function of microvasculature. The aim of the present study was to compare the spectral characteristics response to muscle stretching between diabetic smokers and non-smokers, and investigate the influence of cigarette smoking on microvascular function. Twenty four diabetic patients (12 smokers v.s. 12 non-smokers) and twelve normal non-smoking subjects were recruited. We observed that the diabetic smokers had a significantly reduced endothelial activity. The mechanisms for the reduction of the endothelial activity remain to be elucidated. The spectral analysis might be used to evaluate endothelial function for research, for diagnostic purposes, and maybe also to assess effects of therapy in cardiovascular diseases.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effectiveness of Fitting Pressure Garments for Minor and Moderate Burn Patients: A Literature Review","authors":"Pi-Wen Huang, Chih-Wei Lu","doi":"10.1145/3168776.3168784","DOIUrl":"https://doi.org/10.1145/3168776.3168784","url":null,"abstract":"Aim: Burn reconstruction and rehabilitation are difficult and time-consuming processes; a burn patient must endure a long rehabilitation process to treat burn scars. The continued proliferation of scars and anxiety engender considerable difficulties for patients. A burn scar contracture is like a burned rubber band; the skin is never restored to its original flexibility. Wearing pressure garments (PGs) is uncomfortable and challenging for patients, but constant adherence is necessary. To improve adherence, precise knowledge about the advantages and disadvantages of PG therapy (PGT) is necessary. Methods: This review examined experimental studies that have applied PGT on patients with varicose veins and burns, as well as healthy human controls. The participants answered questionnaires to determine the best or \"ideal\" pressure. All scars were treated under a scar management program and followed up by the treating hospital and scanned by ultrasound. Scars were assessed using the Tissue Ultrasound Palpation System (TUPS), as well as the Vancouver Scar Scale (VSS) for rating scar thickness, pliability, pigmentation, and vascularity. Scar thickness and color were objectively measured using the Pliance X system and Laser Doppler Imaging (LDI). Results: In general, the application of 15-25 mmHg pressure is most commonly used in clinical practice. Minor and moderate burn patients could wear PGs in the very beginning of the recovery process. According to guidelines, closed scars should always be reevaluated 6 months after the burn to determine whether additional scar management interventions are required or whether preventive therapy can be terminated.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121179888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Mycobacterium Tuberculosis, Mycobacterium Bovis, and Mycobacterium Africanum that Cause Tuberculosis Using Apriori and Decision Tree Algorithm","authors":"Juhyun Lee, Seoyoung Yoon, Taeseon Yoon","doi":"10.1145/3168776.3168777","DOIUrl":"https://doi.org/10.1145/3168776.3168777","url":null,"abstract":"About two million people die from Tuberculosis (TB) each year, and the high death rate of the disease has persisted for decades. TB infection, which is caused by bacteria that belong to genus Mycobacterium, can significantly affect normal functions of lungs and other body parts such as brain and spine. Although tuberculosis patients have been treated with medicines, it took much time to detect visible effects. To further enhance the vaccines and treatment of TB, people should conduct more comprehensive research about the TB infection. Therefore, in this research, we aim to analyze genomes of three bacteria in Mycobacterium genus: Mycobacterium tuberculosis, Mycobacterium bovis, and Mycobacterium africanum. We adopted mainly two algorithms, apriori and decision tree, in order to proceed analysis. Before we undertook an experiment, we established a hypothesis: M. tuberculosis and M. bovis would exhibit a stronger correlation because they are the most common cause of tuberculosis for a long time. By analyzing their DNA sequences and amino acid frequency, we examined relationships between those three bacteria, especially similarities and differences. Furthermore, we tried to prove the hypothesis. We expect that our research will give a chance to improve potent vaccines and medicines by adopting these relationships we found in our research.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121542668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prediction of Parkinson Disease Using Nonlinear Classifiers with Decision Tree Using Gait Dynamics","authors":"S. Aich, Ki-won Choi, Jinse Park, Hee-Cheol Kim","doi":"10.1145/3168776.3168785","DOIUrl":"https://doi.org/10.1145/3168776.3168785","url":null,"abstract":"In the last decade, the second most common neurodegenerative disorder among the old people is the Parkinson's disease (PD). PD affects 2-3% of the population over the age of 65 years. Since the aging population rate is increasing at a faster rate all over the world, so many advanced techniques such as artificial intelligence and machine learning algorithms have been used to detect the progression of disease at early stage in short time. Few past research has been made to classify the PD from the healthy older peoples. They have used linear classification techniques for classification as well as linear dimensionality algorithm for feature selection. In this paper an attempt has been made to classify the PD group from the healthy control group by using nonlinear based classifier with decision tree and also nonlinear feature selection algorithm called Recursive Feature Elimination for selection of features. Finally, a performance comparison has been made between the original set of features as well as the reduced features. Our result does not able to find any significance difference in the performance metrics of the two feature sets, but achieved the classification accuracies ranging from 81.7% to 85.31%.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131213363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of the Top Anemic Diseases in Blood Smear Images Using Image Quantization Followed by Ensemble of Classifiers","authors":"Bakht Azam, S. Rahman, S. Ullah, F. Hanan","doi":"10.1145/3168776.3168789","DOIUrl":"https://doi.org/10.1145/3168776.3168789","url":null,"abstract":"Anemia is a condition caused due to the deficiency of Red Blood Cells (RBCs) and hemoglobin in blood. It is an indication to a specific disorder in the human body. Different types of anemic diseases infect the shapes of Red Blood Cells in different ways and the infected cells form various geometric shapes, such as elongated ellipse, triangular shapes, cut circles, boundary interruption in ellipse or circle etc. Leveraging these shapes the type of anemia can easily be identified. We have used various boundary based shape descriptors like shape signatures and color profiles as features for the infected RBCs recognition. The algorithm is followed by preprocessing steps like color channel separation, segmentation through quantization, feature extraction and finally classification of Red Blood Cells and the diseases associated with them. We have achieved 92 % accuracy and the proposed method is cost effective and easy to use.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132781575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling the Uncertainty in Finger-Vein Authentication by the Gaussian Mixture Model","authors":"Hongyu Ren, Da Xu, Wenxin Li","doi":"10.1145/3168776.3168779","DOIUrl":"https://doi.org/10.1145/3168776.3168779","url":null,"abstract":"The robustness and uniqueness of finger-vein makes it an ideal biometric feature for personal authentication. General finger-vein authentication methods consist of two parts, feature extraction and feature matching. Finger-vein images captured by infrared device are subject to uncertainties caused by various temperature, irregular illumination and finger posture deformation. Uncertainties cause severe artifacts, which make the extracted features unsatisfying and hard to match. We try to alleviate the problem during matching by modeling the extracted features as Gaussian Mixture Model (GMM). In the proposed method, given two feature maps of finger-vein, we first model inputs as GMM using the normal distribution transform, and then minimize the distance between two GMMs based on gradient descent, lastly we output the possibility that two feature maps belong to one person. To show its superiority, we replace conventional feature matching schemes with proposed method and test the performance gain based on two kinds of finger-vein features: finger-vein trajectory and finger-vein skeleton. Experimental results on the RATE dataset show that the proposed method is superior to the conventional methods in precision.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131441086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Optimal Algorithm of Sub-symptom Threshold Exercise Training for Aural Habilitation/Rehabilitation","authors":"D. Sueaseenak, Pavarisa Sangsai, Piyamas Detyong","doi":"10.1145/3168776.3168782","DOIUrl":"https://doi.org/10.1145/3168776.3168782","url":null,"abstract":"This paper presents the comparison study of the speech recognition system for the Thai language in the noise of the different environment. The well-known algorithms, such as MLP, SVM, GMM, HMM, VQ, DTW, DNN and End to End were used in this research. A test was conduced with 50 men and 50 women subjects during 5-60 years old. The proposed method consists of several parts which are (i) the feature extraction by Mel-frequency cepstral coefficients (MFCC) algorithm, (ii) The learning and decision process. The performance testing of the systems by the Ling's six sounds, such as ah, mm, oo, ee, sh and ss. The experiment results of our proposed method show that the accuracy of the system more than 80 percent.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131109966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study the Heart Valve Elasticity and Optimal of Vortex Formation for Blood Circulation Measurement on the Left Ventricle Using the Heart Simulator (Heart-S) Apparatus","authors":"Mohd Azrul Hisham Mohd Adib, N. Hasni","doi":"10.1145/3168776.3168786","DOIUrl":"https://doi.org/10.1145/3168776.3168786","url":null,"abstract":"Modeling of heart simulator gives a better understanding of blood circulation and the figure of the heart valve's movement as well as the fluid flow movement in the heart chamber. In this study, the relationship between heart valve elasticity and the angle of the heart valve position to the heart valve opening width were investigated. Also, the optimal of vortex formation was observed by using the heart simulator (Heart-S) apparatus on the left ventricle during the cardiac cycle. The result shows good relation on heart valve elasticity and the angle of the heart valve position to the valve opening. The optimal of vortex formation in the heart chamber also clearly observed.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pichitpon Chaniad, Keson Trakunram, Sarayut Lucien Geater, W. Keeratichananont, P. Thongsuksai, Pritsana Raungrut
{"title":"Association of Serum miR-145 with Vascular Endothelial Growth Factor (VEGF) in Patients with Non-Small Cell Lung Cancer","authors":"Pichitpon Chaniad, Keson Trakunram, Sarayut Lucien Geater, W. Keeratichananont, P. Thongsuksai, Pritsana Raungrut","doi":"10.1145/3168776.3168788","DOIUrl":"https://doi.org/10.1145/3168776.3168788","url":null,"abstract":"Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancers and it is the leading cause of cancer death globally. Vascular endothelial growth factor (VEGF) plays an important role in cancer progression, including lung cancer. Therefore, it would be interesting to determine key modulators that can suppress VEGF production. This study aimed to identify miRNAs regulating VEGF using systematic reviews and bioinformatics tools. We further validated miRNA expression and VEGF level using qRT-PCR and ELISA, respectively. A total 17 studies were selected using systematic review. 97 miRNAs were found to be up-regulated in serum of NSCLC compared to controls. miR-145 was selected to further validate in clinical samples. Serum miR-145 expression in NSCLC (10.77±3.40) was lower than patient with other lung diseases (25.10±7.90) with p-value of 0.019. The VEGF level in serum of NSCLC was significantly higher than other lung diseases and healthy persons with p-value of 0.003 and 0.002, respectively. However, a weak negative correlation of miR-145 and VEGF in serum of NSCLC was observed without significant difference. In conclusion, the expression of miR-145 and VEGF in NSCLC patients may be involved with lung tumorigenesis; however, the VEGF is not regulated by miR-145 in lung cancer.","PeriodicalId":253305,"journal":{"name":"Proceedings of the 2017 4th International Conference on Biomedical and Bioinformatics Engineering","volume":"45 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133673263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}