Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609947
M. Harasek, Martin Elenkov, Benjamin Lukitsch, P. Ecker, C. Janeczek, M. Gfoehler
Currently, available blood CO2 control systems mostly interact with blood extracorporeally, though guiding large blood quantities out of the body is problematic and frequently causes severe complications. Here we propose a set of strategies and a method to control CO2 removal and CO2 concentration change in blood in an intracorporeal membrane based respiratory assistive device using a liquid sweep fluid. Control objectives are defined and concept designs are presented for the respective control loops based on measurement of accessible sensor signals and rotational speed of the blood pump as control variable. The results of this study may contribute to the development of safe and easily controllable CO2 removal systems in patients suffering from respiratory insufficiency.
{"title":"Design of Control Strategies for the CO2 Removal from Blood with an Intracorporeal Membrane Device","authors":"M. Harasek, Martin Elenkov, Benjamin Lukitsch, P. Ecker, C. Janeczek, M. Gfoehler","doi":"10.1109/BMEICON.2018.8609947","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609947","url":null,"abstract":"Currently, available blood CO2 control systems mostly interact with blood extracorporeally, though guiding large blood quantities out of the body is problematic and frequently causes severe complications. Here we propose a set of strategies and a method to control CO2 removal and CO2 concentration change in blood in an intracorporeal membrane based respiratory assistive device using a liquid sweep fluid. Control objectives are defined and concept designs are presented for the respective control loops based on measurement of accessible sensor signals and rotational speed of the blood pump as control variable. The results of this study may contribute to the development of safe and easily controllable CO2 removal systems in patients suffering from respiratory insufficiency.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130929924","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609965
S. Suwan, S. Airphaiboon, S. Promwong
Waveform distortion and delay time in human body-ultra wideband (HB-UWB) transmission waveform is very important parameters for in wireless impulse radio system. In this research, we investigated of human body effects and antennas in HB-UWB channel based on the based on measurement data work done in an indoor environment. The characteristics of the transceiver HB-UWB, which combine to form the signal and the effect signal receiver to get above the frequency band 3 GHz to 11 GHz important factors such as the distribution of power, distortion and delay spread. The RMS delay expand due to the human body shadowing and antennas are represent.
{"title":"Delay Time and Power Distribution of HB-UWB Transmission Based on Measurement Data","authors":"S. Suwan, S. Airphaiboon, S. Promwong","doi":"10.1109/BMEICON.2018.8609965","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609965","url":null,"abstract":"Waveform distortion and delay time in human body-ultra wideband (HB-UWB) transmission waveform is very important parameters for in wireless impulse radio system. In this research, we investigated of human body effects and antennas in HB-UWB channel based on the based on measurement data work done in an indoor environment. The characteristics of the transceiver HB-UWB, which combine to form the signal and the effect signal receiver to get above the frequency band 3 GHz to 11 GHz important factors such as the distribution of power, distortion and delay spread. The RMS delay expand due to the human body shadowing and antennas are represent.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944561","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}
This paper presents the case of a senior design project conducted by students who took the communication and signal processing track. The objective of the project was to design and implement a portable ECG display. This project employed the Arduino microcontroller and Duinopeak ECG Shield. The shield consisted of an instrumentation amplifier, a set of filters and signal conditioning circuits. The signal from the ECG Shield was sent to Arduino microcontroller for the analog to digital conversion. The analog ECG signal was transformed to digital data for signal processing and the heart rate calculation. The heart rate and ECG waveform were displayed on the target screen. The portable ECG display was capable of displaying heart rate and ECG waveform as designed. The heart rate reading accuracy was within 1.267%. The implemented software set was able to read, write and display ECG waveform on the target device. This project was an excellent learning experience. Further, it was found that this kind of project would be a very relevant senior design project for students interested in medical instrumentation. The preliminary design, intermediate design and after–benchmarked design could be viewed as repeated experiential learning cycles. Continuous use of the learning cycle guides individuals and groups towards improved performance and high quality outcomes. The more students use the experiential learning cycle, the more they will gain continuous improvement.
{"title":"Portable ECG Display: An Experiential Learning through a Senior Design Project","authors":"Sawita Natumploy, Ratchada Sophrom, Dahmmaet Bunnjaweht","doi":"10.1109/BMEICON.2018.8609964","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609964","url":null,"abstract":"This paper presents the case of a senior design project conducted by students who took the communication and signal processing track. The objective of the project was to design and implement a portable ECG display. This project employed the Arduino microcontroller and Duinopeak ECG Shield. The shield consisted of an instrumentation amplifier, a set of filters and signal conditioning circuits. The signal from the ECG Shield was sent to Arduino microcontroller for the analog to digital conversion. The analog ECG signal was transformed to digital data for signal processing and the heart rate calculation. The heart rate and ECG waveform were displayed on the target screen. The portable ECG display was capable of displaying heart rate and ECG waveform as designed. The heart rate reading accuracy was within 1.267%. The implemented software set was able to read, write and display ECG waveform on the target device. This project was an excellent learning experience. Further, it was found that this kind of project would be a very relevant senior design project for students interested in medical instrumentation. The preliminary design, intermediate design and after–benchmarked design could be viewed as repeated experiential learning cycles. Continuous use of the learning cycle guides individuals and groups towards improved performance and high quality outcomes. The more students use the experiential learning cycle, the more they will gain continuous improvement.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131013547","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609921
Antonio Pepe, Gianpaolo Francesco Trotta, Christina Gsaxner, J. Wallner, J. Egger, D. Schmalstieg, Vitoantonio Bevilacqua
Maxillofacial tumor resection is often dependent on the expertise of the surgeon performing the operation. This study wants to be a first exploration of the role that commercial mixed reality headsets could have in this field. With this purpose in mind, a mixed reality Head Mounted Display (HMD) application is proposed to ease this task and provide a training tool. Due to the invasiveness of the operation, a marker-less registration has been considered as advantageous and therefore a pattern recognition algorithm has been adopted for properly placing a segmented PET-CT scan over the target face. To document the validity and appreciation rate of such a system, groups of physicians and engineers were asked to evaluate and assess the resulting prototype according to the standard ISO-9241/110. The application showed a noticeable accuracy of millimeters, consistent with other biomedical studies, due to intrinsic limitations of the device. Nonetheless, the remarkably positive feedbacks collected from both groups suggest high interest in further work.
{"title":"Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment","authors":"Antonio Pepe, Gianpaolo Francesco Trotta, Christina Gsaxner, J. Wallner, J. Egger, D. Schmalstieg, Vitoantonio Bevilacqua","doi":"10.1109/BMEICON.2018.8609921","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609921","url":null,"abstract":"Maxillofacial tumor resection is often dependent on the expertise of the surgeon performing the operation. This study wants to be a first exploration of the role that commercial mixed reality headsets could have in this field. With this purpose in mind, a mixed reality Head Mounted Display (HMD) application is proposed to ease this task and provide a training tool. Due to the invasiveness of the operation, a marker-less registration has been considered as advantageous and therefore a pattern recognition algorithm has been adopted for properly placing a segmented PET-CT scan over the target face. To document the validity and appreciation rate of such a system, groups of physicians and engineers were asked to evaluate and assess the resulting prototype according to the standard ISO-9241/110. The application showed a noticeable accuracy of millimeters, consistent with other biomedical studies, due to intrinsic limitations of the device. Nonetheless, the remarkably positive feedbacks collected from both groups suggest high interest in further work.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834755","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609935
Khin Yadanar Win, Noppadol Maneerat, S. Choomchuay, Syna Sreng, K. Hamamoto
Malignant Mesothelioma (MM) is a rare, aggressive cancer that grows in the lining of the internal organs such as lung, abdomen or heart. Fousing on MM diagnosis, in this paper, we investigate multiple machine learning methods and compare for accurate MM diagnosis results. Seven machine learning algorithms namely (i) Linear Discriminant Analysis (LDA), (ii) Naïve Bayes, (iii) K Nearest Neighborhood (KNN), (iv) Support Vector Machine (SVM), (v) Decision Tree (DT), (vi) Logistic Regression (LogR) and (vii) Random forest (RF) algorithms are exploited. The experiments dataset containing 324 cases with 34 features and six performance measures are used to assess the accuracy of evaluated classifiers. The average accuracy of LDA, NB, KNN, SVM, DT, LogR and RF are 61.73%, 67.90%, 91.36%, 100%, 100%, 100% and 100%, respectively. In addition, the computational complexity of each method is also analyzed. Each algoritm is judged based on its classification accuracy and computational complexity. It is found that SVM, DT, LogR and RF outperform the others and even previous studies.
恶性间皮瘤(MM)是一种罕见的侵袭性癌症，生长在肺、腹部或心脏等内脏器官的内壁。针对MM诊断，本文研究了多种机器学习方法，并比较了准确的MM诊断结果。七种机器学习算法，即(i)线性判别分析(LDA)， (ii) Naïve贝叶斯，(iii) K最近邻(KNN)， (iv)支持向量机(SVM)， (v)决策树(DT)， (vi)逻辑回归(LogR)和(vii)随机森林(RF)算法。实验数据集包含324个案例，34个特征和6个性能指标，用于评估被评估分类器的准确性。LDA、NB、KNN、SVM、DT、LogR和RF的平均准确率分别为61.73%、67.90%、91.36%、100%、100%、100%和100%。此外，还分析了每种方法的计算复杂度。根据分类精度和计算复杂度对每种算法进行评判。我们发现SVM、DT、LogR和RF都优于其他甚至前人的研究。
{"title":"Suitable Supervised Machine Learning Techniques For Malignant Mesothelioma Diagnosis","authors":"Khin Yadanar Win, Noppadol Maneerat, S. Choomchuay, Syna Sreng, K. Hamamoto","doi":"10.1109/BMEICON.2018.8609935","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609935","url":null,"abstract":"Malignant Mesothelioma (MM) is a rare, aggressive cancer that grows in the lining of the internal organs such as lung, abdomen or heart. Fousing on MM diagnosis, in this paper, we investigate multiple machine learning methods and compare for accurate MM diagnosis results. Seven machine learning algorithms namely (i) Linear Discriminant Analysis (LDA), (ii) Naïve Bayes, (iii) K Nearest Neighborhood (KNN), (iv) Support Vector Machine (SVM), (v) Decision Tree (DT), (vi) Logistic Regression (LogR) and (vii) Random forest (RF) algorithms are exploited. The experiments dataset containing 324 cases with 34 features and six performance measures are used to assess the accuracy of evaluated classifiers. The average accuracy of LDA, NB, KNN, SVM, DT, LogR and RF are 61.73%, 67.90%, 91.36%, 100%, 100%, 100% and 100%, respectively. In addition, the computational complexity of each method is also analyzed. Each algoritm is judged based on its classification accuracy and computational complexity. It is found that SVM, DT, LogR and RF outperform the others and even previous studies.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114882671","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8610000
Yunyong Punsawad, Nannaphat Siribunyaphat, Y. Wongsawat
This paper proposes the use of the windmill pattern visual stimulus to induce human vision by employing a phenomenon of visual illusion for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. We had to explore the brain response to the flickering pattern as windmill pattern, three BCI commands can be generated by using three different windmill patterns. SSVEP technique was used to detect the response. The average accuracy of classification was approximately 80.5%. With the proposed visual stimulus pattern, it can reduce eye fatigue and increase the number of commands for the existing SSVEP-based BCI. Therefore, the proposed visual stimulus pattern can be used for practical BCI applications
{"title":"Self-Flickering Visual Stimulus based on Visual illusion for SSVEP-based BCI System","authors":"Yunyong Punsawad, Nannaphat Siribunyaphat, Y. Wongsawat","doi":"10.1109/BMEICON.2018.8610000","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8610000","url":null,"abstract":"This paper proposes the use of the windmill pattern visual stimulus to induce human vision by employing a phenomenon of visual illusion for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system. We had to explore the brain response to the flickering pattern as windmill pattern, three BCI commands can be generated by using three different windmill patterns. SSVEP technique was used to detect the response. The average accuracy of classification was approximately 80.5%. With the proposed visual stimulus pattern, it can reduce eye fatigue and increase the number of commands for the existing SSVEP-based BCI. Therefore, the proposed visual stimulus pattern can be used for practical BCI applications","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123946144","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609996
Nilar Thein, K. Hamamoto, H. A. Nugroho, T. B. Adji
Accurate segmentation techniques used in the automated kidney stone detection is one of the most challenging problems because of grey levels similarities of adjacent organs, variation in shapes and positions of kidney stone. Valuable image preprocessing is an essential step to improve the performance of region of interest (ROI) segmentation by removing unwanted region (non ROI), noise and disturbance. The research aims to conduct comparative study of the three different preprocessing techniques for the noise removal from the CT image of kidney stone. Three noise removal techniques are computed based on the size-based thresholding (method I), shape-based thresholding(method II) and hybrid thresholding algorithm (method III). T he methods aim to enhance their readability and to assist the segmentation process in the kidney stone diagnosis system. Digitized transverse abdomen CT images from 75 patients with kidney stone cases were done in statistical analysis and validation. The estimation of coordinate points in the stone region was measured independently by the expert radiologists to get the validation data for the analysis. The results show that the proposed method I, II and III have a sensitivity of 90.91%, 92.93% and 68.69%, respectively. The execution times of overall process were 9.44 sec, 10.14 sec and 34.5 in average, respectively.
{"title":"A comparison of three preprocessing techniques for kidney stone segmentation in CT scan images","authors":"Nilar Thein, K. Hamamoto, H. A. Nugroho, T. B. Adji","doi":"10.1109/BMEICON.2018.8609996","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609996","url":null,"abstract":"Accurate segmentation techniques used in the automated kidney stone detection is one of the most challenging problems because of grey levels similarities of adjacent organs, variation in shapes and positions of kidney stone. Valuable image preprocessing is an essential step to improve the performance of region of interest (ROI) segmentation by removing unwanted region (non ROI), noise and disturbance. The research aims to conduct comparative study of the three different preprocessing techniques for the noise removal from the CT image of kidney stone. Three noise removal techniques are computed based on the size-based thresholding (method I), shape-based thresholding(method II) and hybrid thresholding algorithm (method III). T he methods aim to enhance their readability and to assist the segmentation process in the kidney stone diagnosis system. Digitized transverse abdomen CT images from 75 patients with kidney stone cases were done in statistical analysis and validation. The estimation of coordinate points in the stone region was measured independently by the expert radiologists to get the validation data for the analysis. The results show that the proposed method I, II and III have a sensitivity of 90.91%, 92.93% and 68.69%, respectively. The execution times of overall process were 9.44 sec, 10.14 sec and 34.5 in average, respectively.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124195731","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609936
Puvanat Bumrungyat, V. Kasemsuwan
This paper presents a new ISFET’s interface circuit for biomedical applications using delta-sigma modulation. The proposed design operates ISFET in the linear region so that an output current is linearly dependent on pH over a wide range (pH 2 to pH 14). Conversion to a digital output domain is done using a sigma-delta converter making the interface circuit very robust and reliable for most sensor applications. The proposed circuit is designed in a 0.18 μm technology. The supply voltage is 1.8 V and the total current drawn is 56 μA. The simulation results show that the proposed circuit can sense a pH with an error within the range of −0.2% to 0.3% for pH ranging from 2 to 14.
{"title":"ISFET’s Interface Circuit for Biomedical Applications Using Delta-Sigma Modulation","authors":"Puvanat Bumrungyat, V. Kasemsuwan","doi":"10.1109/BMEICON.2018.8609936","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609936","url":null,"abstract":"This paper presents a new ISFET’s interface circuit for biomedical applications using delta-sigma modulation. The proposed design operates ISFET in the linear region so that an output current is linearly dependent on pH over a wide range (pH 2 to pH 14). Conversion to a digital output domain is done using a sigma-delta converter making the interface circuit very robust and reliable for most sensor applications. The proposed circuit is designed in a 0.18 μm technology. The supply voltage is 1.8 V and the total current drawn is 56 μA. The simulation results show that the proposed circuit can sense a pH with an error within the range of −0.2% to 0.3% for pH ranging from 2 to 14.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123279578","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609932
Yuri Watanabe, Yohei Kobayashi, Mieko Tanaka, T. Asada, K. Ishii, T. Yagi
A survey by Japan’s Ministry of Health, Labour and Welfare shows that the number of people with dementia will increase to 7 million individuals by 2025. This means that about one in five people who are 65 years of age or older will develop dementia. In addition, the number of traffic accidents involving older drivers has become an issue recently. Therefore, we considered that if there were a technique that allowed individuals to determine the presence of dementia by themselves, it could be detected at an earlier stage. Our proposed method employs averaged frequency and triple correlation techniques to detect the presence of Alzheimer’s disease using only three electrodes and a short data acquisition period.
{"title":"An analysis for Alzheimer’s disease using cross-correlation and averaged frequency of EEG data","authors":"Yuri Watanabe, Yohei Kobayashi, Mieko Tanaka, T. Asada, K. Ishii, T. Yagi","doi":"10.1109/BMEICON.2018.8609932","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609932","url":null,"abstract":"A survey by Japan’s Ministry of Health, Labour and Welfare shows that the number of people with dementia will increase to 7 million individuals by 2025. This means that about one in five people who are 65 years of age or older will develop dementia. In addition, the number of traffic accidents involving older drivers has become an issue recently. Therefore, we considered that if there were a technique that allowed individuals to determine the presence of dementia by themselves, it could be detected at an earlier stage. Our proposed method employs averaged frequency and triple correlation techniques to detect the presence of Alzheimer’s disease using only three electrodes and a short data acquisition period.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"160 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116212902","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}
Pub Date : 2018-11-01DOI: 10.1109/BMEICON.2018.8609986
Y. Pititeeraphab, C. Pintavirooj
A Palmprint, biometric characteristics, was mostly found in civil and commercial applications for security system because it has more reliable and easy to capture by low resolution devices. This research focuses on the development of hand identification and hand geometry using hand features, including the length of the hand, length and width of each finger, size of palm. We use radius distance methods to find the position of the fingertip and the concave of the finger from the hand contour. The radius distance method is highly flexible, accurately detecting the curves of fingertip and concave of finger. We use these reference points to identify the characteristics of individual hands. The sample images are acquired from the simple and low-cost acquisition sys-tem. The experimental results demonstrate the efficiency of the proposed method.
{"title":"Identity Verification Using Geometry of Human hands","authors":"Y. Pititeeraphab, C. Pintavirooj","doi":"10.1109/BMEICON.2018.8609986","DOIUrl":"https://doi.org/10.1109/BMEICON.2018.8609986","url":null,"abstract":"A Palmprint, biometric characteristics, was mostly found in civil and commercial applications for security system because it has more reliable and easy to capture by low resolution devices. This research focuses on the development of hand identification and hand geometry using hand features, including the length of the hand, length and width of each finger, size of palm. We use radius distance methods to find the position of the fingertip and the concave of the finger from the hand contour. The radius distance method is highly flexible, accurately detecting the curves of fingertip and concave of finger. We use these reference points to identify the characteristics of individual hands. The sample images are acquired from the simple and low-cost acquisition sys-tem. The experimental results demonstrate the efficiency of the proposed method.","PeriodicalId":232271,"journal":{"name":"2018 11th Biomedical Engineering International Conference (BMEiCON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131779741","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}
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