2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)最新文献

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Blood Vessel Segmentation on Retinal Fundus Image- A Review 视网膜眼底图像的血管分割研究进展
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167524
P. Princye, M. Lavanya, S. Sivasubramanian, Archana Mk
{"title":"Blood Vessel Segmentation on Retinal Fundus Image- A Review","authors":"P. Princye, M. Lavanya, S. Sivasubramanian, Archana Mk","doi":"10.1109/ICBSII49132.2020.9167524","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167524","url":null,"abstract":"Automatic identification of blood vessels in CT images of retina has always been a big challenge since the contrast of images diminishes with respect to the increase in the pixel distance from the center of the image in retinal. The image segmentation blood vessels in retina helps in diagnosing the diseases that are associated with the changes in the retina. Most current techniques focus on developing Preprocessing and Image analysis. This Paper gives the survey on Retinal Image","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126394592","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}
引用次数: 1
Analysis of Obstructive Sleep Apnea using ECG Signals 利用心电信号分析阻塞性睡眠呼吸暂停
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167605
A. Jayanthy, Subhiksha Somanathan, Shivani Yeshwant
{"title":"Analysis of Obstructive Sleep Apnea using ECG Signals","authors":"A. Jayanthy, Subhiksha Somanathan, Shivani Yeshwant","doi":"10.1109/ICBSII49132.2020.9167605","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167605","url":null,"abstract":"Sleep is an important component in one's daily life and comprises about one-third of one's day. Sleep loss and disorders effect one's productivity thereby causing a significant impact on the economy. Polysomnography (PSG), which is considered the gold standard for sleep diagnosis, contains recording of multiple physiological signals Electroencephalogram (EEG), Electrooculogram (EOG), Electrocardiogram (ECG), Electromyogram (EMG), blood oxygen levels (oximetry). It has been observed that the PSG recordings obtained from the patients suffering from Obstructive Sleep Apnea (OSA) contain consistent, often repetitive, episodes of breathing pauses. However, PSG recordings are very expensive thus limiting its accessibility by the financially weaker section of the society. They are also at a greater risk of human error as over 7–8 hours recording is visually evaluated by a neurologist. The aim of this paper is to simplify the tools used for the analysis of sleep apnea. The signals procured via ECG for the analysis of OSA were explored and the accuracy for the same was analyzed. Three parameters of the signals namely Power Spectral Density, Correlation and R-R peak interval were analyzed.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123222669","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}
引用次数: 2
Region Specific Weight Measuring System for Bedridden patients 卧床病人区域体重测量系统
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167606
G. Nancy, B. Rashmi, R. Kalpana
{"title":"Region Specific Weight Measuring System for Bedridden patients","authors":"G. Nancy, B. Rashmi, R. Kalpana","doi":"10.1109/ICBSII49132.2020.9167606","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167606","url":null,"abstract":"Weight measurement is one important aspect, especially for monitoring long term bedridden patients or for post-operative subjects. Presently, though overall weight is measured regularly, periodicity is in the order days owing to practical difficulties like portability of equipment and shifting of patients. Even in this case, region-wise weight measurement is not done. This problem is addressed in the proposed method, where localization of region that contributes to weight change can be identified along with amount of weight change. Since no movement of subject is required, observation interval can be reduced to hours from days. This is achieved by dividing the mild steel sheet holding the subject and placing load sensors beneath the sheets. This is done after understanding and critically reviewing load and height distribution in human body. Load sensors, along with artificial neural network is able to sense the change up to 1 gram with information about location. Entire experiment was done using human phantom model. Result of the proposed method exhibits accuracy of 96% and above with linearity in measurement. Our present efforts are towards making this prototype into a real time weight measuring system.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123269802","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}
引用次数: 2
Vowel Identification from Neural Signals during Articulated Speech 基于神经信号的发音元音识别
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167550
Ashley Bishop, Anandha Sree Retnapandian, Sandhya Chengaiyan, K. Anandan
{"title":"Vowel Identification from Neural Signals during Articulated Speech","authors":"Ashley Bishop, Anandha Sree Retnapandian, Sandhya Chengaiyan, K. Anandan","doi":"10.1109/ICBSII49132.2020.9167550","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167550","url":null,"abstract":"Speech interfaces have become widely accepted and are nowadays integrated in various real-life applications and devices for the impaired. The recent advances in EEG technology has made Brain Computer Interface (BCI) the most exciting field of biomedical research. The non-invasive nature of EEG has made researchers show interest towards it. In this paper, the conventional brain connectivity measures are employed to recognize the articulated vowels from the recorded brain activity. The work reveals that the brain activity registered from the temporal and parietal regions contain brimming information related to speech production and comprehension. Also the analysis showed that the comprehended information related to speech activities are packed within the theta, beta and alpha EEG sub-bands. The extracted functional connectivity parameters were used to train a Multi layer perceptron to identify the articulated vowel.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126523169","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}
引用次数: 2
Delay and Power Efficient FIR Architecture for Noise Suppression of EOG Signal 用于EOG信号噪声抑制的延迟和高能效FIR结构
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167561
G. Kumar, Balaji Narayanam, D. Malini
{"title":"Delay and Power Efficient FIR Architecture for Noise Suppression of EOG Signal","authors":"G. Kumar, Balaji Narayanam, D. Malini","doi":"10.1109/ICBSII49132.2020.9167561","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167561","url":null,"abstract":"In this paper, we proposed a modified FIR filter using Canonical signed digit (CSD) technique for de-noising the Electro-Oculography (EOG) signal. A dipole was formed between cornea and retina in an eye, resulting in voltage difference with occurrence of eye movement, which in turn generates an electrical signal. These signals are called as EOG and are useful in many medical and bioelectrical applications. To remove the noise in EOG signal an enhanced 16-bit FIR filter was used. The proposed FIR architecture uses CSD based multipliers, unlike the conventional shift-add the proposed architecture provide greater improvement in power and delay. CSD is used in order to reduce the design complexity of the multiplication by representing the filter coefficients in CSD format. The proposed approach was implemented on Xilinx FPGA development kit. By comparing the synthesis results for existing and proposed methods, which has achieved an improvement of 12.60% and 11.76% in Power Delay Product (PDP) and Area Delay Product (ADP) respectively","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124921873","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}
引用次数: 2
Shape Description of FDG uptakes in Pre and Postoperative fused PET/CT Images PET/CT融合前后图像中FDG摄取的形态描述
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167665
J. Jeba, S. N. Devi
{"title":"Shape Description of FDG uptakes in Pre and Postoperative fused PET/CT Images","authors":"J. Jeba, S. N. Devi","doi":"10.1109/ICBSII49132.2020.9167665","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167665","url":null,"abstract":"Automatic object recognition with shape descriptors help to interact with the real-time environment. This paper describes the shape analysis of radioactivity Fluoro Deoxy Glucose (FDG) uptakes present in pre and postoperative stages of Fused PET/CT images using shape feature extraction approach. Shape features are invariant to various affine transformations such as translation, rotational, flipped, scale, etc., are more robust for shape analysis. Geometrical properties of the FDG uptakes are extracted at various levels of spatial resolution by hierarchical Kdabstraction from the segmented PET/CT images. Rotational invariants considered are the Zernike moments magnitudes and the shape signatures of Fourier descriptors are investigated. The discrimination power of features between pre and post-operative images is examined and evaluated.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133081553","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}
引用次数: 0
MAMMSIT: A Database For The diagnosis and detection of Breast Cancer in Mammography images 乳房x线摄影影像诊断和检测乳腺癌的数据库
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167662
M. Beham, N. Kayalvizhi, R. Tamilselvi, A. Nagaraj
{"title":"MAMMSIT: A Database For The diagnosis and detection of Breast Cancer in Mammography images","authors":"M. Beham, N. Kayalvizhi, R. Tamilselvi, A. Nagaraj","doi":"10.1109/ICBSII49132.2020.9167662","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167662","url":null,"abstract":"In recent days Mammography is most widely used techniques to detect the Breast cancer. Masses and calcifications are the abnormalities indicate the breast cancer. . Breast cancer is the leading cause of cancer deaths in women. Advanced technologies with existing imaging modalities improve breast cancer screening. Most of the Mammographic image data sets are not easily available. The Mammographic Image Analysis Society (MIAS) and Digital Database for Screening Mammography (DDSM) are the most easily available data set for Mammographic images. MAMMSIT is another data set for the mammographic image analysis. The mammogram data set is named as MAMMSIT and it contains Normal and Malignant group images of mammography. Our proposed data set provided with appropriate annotations details such as age, background tissue, ultra sound screen position (i.e., left and right) and BIRADS level are included in the database.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123915664","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}
引用次数: 0
Analysis of Histogram Distance Measures for Change Detection In Brain Symmetry 脑对称性变化检测的直方图距离测度分析
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167640
K. Suresh, U. Sakthi, N. M. Raja, R. Prabhu
{"title":"Analysis of Histogram Distance Measures for Change Detection In Brain Symmetry","authors":"K. Suresh, U. Sakthi, N. M. Raja, R. Prabhu","doi":"10.1109/ICBSII49132.2020.9167640","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167640","url":null,"abstract":"It is important to analyze and quantify the spatial relationship between the brain symmetry planes (BSP) on radiological images. The unsupervised change detection problem is taken to detect the abnormalities based on brain symmetry assuming the left and right part of brain is roughly symmetric. The input to the problem is symmetrical axial MR slices, and its output is to place axis-parallel boxes that circumscribe the tumor part. This change detection process uses a score function based on histogram distance measure computed with gray level intensity histograms. In this work histogram distance measures is analyzed for the change detection problem. Several image databases are utilized to test the performance of Bhattacharyya, Chi-Square, Correlation, Intersection distance measures. From the experimental results, Chi-Square distance metric seems effective in localizing brain abnormalities than the other distance metrics for the change detection problem.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133813677","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}
引用次数: 0
A Novel VLSI Architecture of CORDIC Based Image Registration 一种新的基于CORDIC图像配准的VLSI结构
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167539
Anirban Chakraborty, A. Banerjee
{"title":"A Novel VLSI Architecture of CORDIC Based Image Registration","authors":"Anirban Chakraborty, A. Banerjee","doi":"10.1109/ICBSII49132.2020.9167539","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167539","url":null,"abstract":"Now-a-days real-time image registration (IR) has been emerged as a potential field of research by virtue of its vast applicability. Despite such high demand, till now, most of the real-time IR based applications rely upon software based tools for performing the image registration task. Those software based tools need to be highly sophisticated to comply with the performance of any real-time system. Naturally, the real-time IR system is costly and power consuming in nature. The only cost-effective solution for this is to develop a dedicated hardware catering real-time IR. In this article, a novel VLSI architecture for real-time IR has been presented. With an ardent focus on making the proposed architecture cost-economic, the transform model estimation (TME) step of IR method is realized using co-ordinate rotation digital computer (CORDIC) technique which is popularly regarded as hardware efficient. The proposed CORDIC based TME architecture is utilized to realize the state of the art VLSI architecture of real-time IR in terms of dedicated hardware which has been implemented onto Zynq UltraScale+ MPSoC series FPGA. The performance of the proposed and FPGA-implemented VLSI architecture of the IR has been compared with its software based counterpart using MATLAB. The proposed VLSI architecture of IR has been proved to outperform the software based realizations in terms of area, power consumption and speed of operation, thereby emerging as a cost-economic solution for the real-time IR.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122846215","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}
引用次数: 2
Development of a non-invasive non-contact optical device for estimating TcB in Neonates 一种用于估算新生儿TcB的非侵入性非接触光学装置的研制
2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII) Pub Date : 2020-02-01 DOI: 10.1109/ICBSII49132.2020.9167612
K.Vignesh Kumar, R. Periyasamy
{"title":"Development of a non-invasive non-contact optical device for estimating TcB in Neonates","authors":"K.Vignesh Kumar, R. Periyasamy","doi":"10.1109/ICBSII49132.2020.9167612","DOIUrl":"https://doi.org/10.1109/ICBSII49132.2020.9167612","url":null,"abstract":"Neonates tend to get affected with jaundice due to accumulation of unsaturated bilirubin in their body within few days of birth and needs special care to save them from kernicterus and death. The current method of diagnosis uses Total Serum Bilirubin (TSB) value as a gold standard to estimate concentration of bilirubin. TSB is obtained through an invasive and painful blood sampling technique. As an alternative Transcutaneous Bilirubin (TcB) is used clinically to estimate the concentration of bilirubin, where a probe is placed on the forehead of neonate and illuminated with a light source. The study reported in this paper explores the possibility of using 460nm Lights rays in a non-invasive and non-contact mode to estimate the concentration of bilirubin in neonates. A portable device with 460nm light source and photodiode has been developed to measure the skin reflectance in neonates and a correlation study has been conducted between the skin absorbance and TcB measured using NeoBil on 8 neonates (Day of Life < 4 days). The study results reported an acceptable correlation between TcB and Skin Absorbance of 460nm light with a correlation coefficient of 0.93. The result provides a valuable ground work for development of a non-invasive noncontact optical device for measuring the transcutaneous bilirubin in neonates.","PeriodicalId":133710,"journal":{"name":"2020 Sixth International Conference on Bio Signals, Images, and Instrumentation (ICBSII)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128149846","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}
引用次数: 0
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