Pub Date : 1900-01-01DOI: 10.1109/ANZIIS.2001.974090
A. Richardot, E. McAdams
This paper concerns the modelling and interpretation of the non-linear harmonic behaviour of biomedical electrode/electrolyte interfaces. For the first time a physical interpretation of the published work on this phenomenon by Schwan and his colleagues (1999) is given. Higher order harmonics were calculated based on the assumption that the non-linearity of the interfacial impedance is dominated at low frequencies by the faradaic charge transfer resistance which shunts the relatively linear non-faradaic double layer capacitance. The dependence of harmonic components on the applied signal amplitude was compared between (i) a model based on the Butler-Volmer equation and (ii) Schwan's experimental and empirical results. A good agreement was found, between the theoretical model and Schwan's empirical observations.
{"title":"Harmonic distortion at the electrode/electrolyte interface: A physical interpretation of Schwan's empirical model","authors":"A. Richardot, E. McAdams","doi":"10.1109/ANZIIS.2001.974090","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974090","url":null,"abstract":"This paper concerns the modelling and interpretation of the non-linear harmonic behaviour of biomedical electrode/electrolyte interfaces. For the first time a physical interpretation of the published work on this phenomenon by Schwan and his colleagues (1999) is given. Higher order harmonics were calculated based on the assumption that the non-linearity of the interfacial impedance is dominated at low frequencies by the faradaic charge transfer resistance which shunts the relatively linear non-faradaic double layer capacitance. The dependence of harmonic components on the applied signal amplitude was compared between (i) a model based on the Butler-Volmer equation and (ii) Schwan's experimental and empirical results. A good agreement was found, between the theoretical model and Schwan's empirical observations.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126898296","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974050
Eisaku Ohta, Y. Mitsukura, M. Fukumi, N. Akamatsu, M. Yasutomo
Recently, internal human organ disorders that medical image analysis can be used to detect is being actively researched. The research have however, concentrated on the extraction of pulmonary tumors. There is therefore, little research being done on the extraction of liver tumors. This is because there is no difference between concentrated values of a healthy part and one with a tumor in liver CT images. In this paper, the extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data.
{"title":"An extraction method of liver tumors by using genetic algorithms and neural networks","authors":"Eisaku Ohta, Y. Mitsukura, M. Fukumi, N. Akamatsu, M. Yasutomo","doi":"10.1109/ANZIIS.2001.974050","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974050","url":null,"abstract":"Recently, internal human organ disorders that medical image analysis can be used to detect is being actively researched. The research have however, concentrated on the extraction of pulmonary tumors. There is therefore, little research being done on the extraction of liver tumors. This is because there is no difference between concentrated values of a healthy part and one with a tumor in liver CT images. In this paper, the extraction method of such liver tumors is proposed. Furthermore, in order to demonstrate the effectiveness of the proposed scheme, we show a simulation example, using real CT image data.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126371036","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974098
M. P. Tjoa, D. Dutt, Y. Lim, B.W. Yau, R.C. Kugean, S. Krishnan, K. Chan
The aim of this paper is to look into the feasibility of using ECG and blood pressure data into a neural network for the classification of cardiac patient states. Both Back Propagation (BP) and Radial Basis function (RBF) networks have been used and a comparison of the performance of the two neural networks has been made. Various parameters extracted from the multimodal data have been used as input to the neural network and the diagnosis is made by classifying the output into three categories viz, Normal, Abnormal and Premature Ventricular Contraction (PVC). A performance comparison of the two neural networks has shown that RBF gives slightly higher classification accuracy compared to BP. The success of the implementation on limited input data has indicated the feasibility of fusing multimodal input data using neural network for better classification of cardiac patient states in an ICU setting.
{"title":"Artificial neural networks for the classification of cardiac patient states using ECG and blood pressure data","authors":"M. P. Tjoa, D. Dutt, Y. Lim, B.W. Yau, R.C. Kugean, S. Krishnan, K. Chan","doi":"10.1109/ANZIIS.2001.974098","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974098","url":null,"abstract":"The aim of this paper is to look into the feasibility of using ECG and blood pressure data into a neural network for the classification of cardiac patient states. Both Back Propagation (BP) and Radial Basis function (RBF) networks have been used and a comparison of the performance of the two neural networks has been made. Various parameters extracted from the multimodal data have been used as input to the neural network and the diagnosis is made by classifying the output into three categories viz, Normal, Abnormal and Premature Ventricular Contraction (PVC). A performance comparison of the two neural networks has shown that RBF gives slightly higher classification accuracy compared to BP. The success of the implementation on limited input data has indicated the feasibility of fusing multimodal input data using neural network for better classification of cardiac patient states in an ICU setting.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128386132","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974084
Mohamed Deriche
We show in this paper that the wavelet transform is an effective technique for significantly compressing fingerprint images, while retaining the necessary structural details for accurate identification. The paper presents a new algorithm for extracting the fundamental identification features for use in automated fingerprint matching systems. Contrary to existing algorithms, the method presented here is tested on compressed/decompressed fingerprint images. We show that using the compression algorithm proposed earlier by the author, we are able to obtain a valid description of the fingerprints at compression ratios down to 50:1.
{"title":"An algorithm for reducing the effect of compression/decompression techniques on fmgerprint minutiae","authors":"Mohamed Deriche","doi":"10.1109/ANZIIS.2001.974084","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974084","url":null,"abstract":"We show in this paper that the wavelet transform is an effective technique for significantly compressing fingerprint images, while retaining the necessary structural details for accurate identification. The paper presents a new algorithm for extracting the fundamental identification features for use in automated fingerprint matching systems. Contrary to existing algorithms, the method presented here is tested on compressed/decompressed fingerprint images. We show that using the compression algorithm proposed earlier by the author, we are able to obtain a valid description of the fingerprints at compression ratios down to 50:1.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128482445","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974095
J. Anderson, J. Allen, C. Turner, A. Adgey, J. Riddle
The detection of coronary heart disease leading to sudden death remains one of the greatest challenges in contemporary society. The advancements in new thrombolytic drugs offer significant potential far improved management of patients developing an acute myocardial infarction outside hospital. However, new diagnostic devices are now required to increase the sensitivity of detection beyond that achievable with the standard 12 lead ECG.
{"title":"Body surface mapping in the diagnosis of the acute myocardial infarction","authors":"J. Anderson, J. Allen, C. Turner, A. Adgey, J. Riddle","doi":"10.1109/ANZIIS.2001.974095","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974095","url":null,"abstract":"The detection of coronary heart disease leading to sudden death remains one of the greatest challenges in contemporary society. The advancements in new thrombolytic drugs offer significant potential far improved management of patients developing an acute myocardial infarction outside hospital. However, new diagnostic devices are now required to increase the sensitivity of detection beyond that achievable with the standard 12 lead ECG.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132912358","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974077
Bingfeng Ju, Kuo-Kang Liu
This paper reports a new method to characterize the mechanical properties, such as the elasticity, of a thin polymeric tissue film. A sensitive microscope visualization instrument is developed for measuring the deformation of the circular tissue membrane of thickness less than 200/spl mu/m under the weight of a lubricated spherical ball. Central alignment is ensured as the ball rolls to the membrane center spontaneously by the gravity. The elastic deformation of the thin membrane was measured laterally. A theoretical model is constructed to quantitatively correlate the elasticity to the deformation profile of the membrane. By using our homemade image process software based on LabVIEW, the profile was correspondingly converted into a digitized curve. The good agreement between the experimental and theoretical results facilitates the determination of the elastic modulus of a thin elastomeric polymeric membrane.
{"title":"Novel technique for mechanical characterization of thin polymeric tissue membrane","authors":"Bingfeng Ju, Kuo-Kang Liu","doi":"10.1109/ANZIIS.2001.974077","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974077","url":null,"abstract":"This paper reports a new method to characterize the mechanical properties, such as the elasticity, of a thin polymeric tissue film. A sensitive microscope visualization instrument is developed for measuring the deformation of the circular tissue membrane of thickness less than 200/spl mu/m under the weight of a lubricated spherical ball. Central alignment is ensured as the ball rolls to the membrane center spontaneously by the gravity. The elastic deformation of the thin membrane was measured laterally. A theoretical model is constructed to quantitatively correlate the elasticity to the deformation profile of the membrane. By using our homemade image process software based on LabVIEW, the profile was correspondingly converted into a digitized curve. The good agreement between the experimental and theoretical results facilitates the determination of the elastic modulus of a thin elastomeric polymeric membrane.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131876916","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974116
F. Chee, T. Fernando, P. V. van Heerden
Good glycemic control in diabetic patients requires frequent measurements of blood sugar level (BBL) and regular doses of insulin. These doses would most conveniently be administered automatically via a closed-loop system. A closed-loop system is based on a control algorithm which prescribes appropriate insulin doses for the measured BSL. Previously, the development of a control algorithm was based on clinical experience and observation, and later on mathematical modelling. Mathematical modelling, has advantages, in that preliminary testing of any proposed control algorithm can be performed before in vivo testing. The authors have simulated a sliding scale control algorithm using the Minimal model and have achieved BSL maintenance in the range of 6-10 mmol/L (provided the noise in BSL readings was within 20% of reference BSL values). When the noise was greater than 20%, BSL maintenance became more difficult, with a more marked swing in BSL levels. We conclude that mathematical modelling of glucose-insulin interaction is a useful tool in testing the functionality of control algorithms prior to in vivo testing.
{"title":"Simulation study on automatic blood glucose control","authors":"F. Chee, T. Fernando, P. V. van Heerden","doi":"10.1109/ANZIIS.2001.974116","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974116","url":null,"abstract":"Good glycemic control in diabetic patients requires frequent measurements of blood sugar level (BBL) and regular doses of insulin. These doses would most conveniently be administered automatically via a closed-loop system. A closed-loop system is based on a control algorithm which prescribes appropriate insulin doses for the measured BSL. Previously, the development of a control algorithm was based on clinical experience and observation, and later on mathematical modelling. Mathematical modelling, has advantages, in that preliminary testing of any proposed control algorithm can be performed before in vivo testing. The authors have simulated a sliding scale control algorithm using the Minimal model and have achieved BSL maintenance in the range of 6-10 mmol/L (provided the noise in BSL readings was within 20% of reference BSL values). When the noise was greater than 20%, BSL maintenance became more difficult, with a more marked swing in BSL levels. We conclude that mathematical modelling of glucose-insulin interaction is a useful tool in testing the functionality of control algorithms prior to in vivo testing.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133890076","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974086
E.V. Papoulis, T. Stathaki
The system identification (SI) problem is addressed from the viewpoint of the generalised structural subband decomposition (GSSD). A system identification structure (SIS) that provides significant computational savings and a substantial increase in the convergence rate (CR) in coloured input environments is presented for the identification of the generalised polyphase components (GPC) of the unknown system. Sparsity constraints are imposed on the input for the identification of polyphase components to be feasible. The proposed structure is then modified so as to relax the imposed constraints on its input and render it appropriate for applications such as the acoustic echo cancellation. The result is an efficient-with respect its computational complexity-adaptive filtering structure that provides an attractive solution in situations where the concern is the reduction in the complexity.
{"title":"New structures for adaptive filtering based on the generalised structural subband decomposition","authors":"E.V. Papoulis, T. Stathaki","doi":"10.1109/ANZIIS.2001.974086","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974086","url":null,"abstract":"The system identification (SI) problem is addressed from the viewpoint of the generalised structural subband decomposition (GSSD). A system identification structure (SIS) that provides significant computational savings and a substantial increase in the convergence rate (CR) in coloured input environments is presented for the identification of the generalised polyphase components (GPC) of the unknown system. Sparsity constraints are imposed on the input for the identification of polyphase components to be feasible. The proposed structure is then modified so as to relax the imposed constraints on its input and render it appropriate for applications such as the acoustic echo cancellation. The result is an efficient-with respect its computational complexity-adaptive filtering structure that provides an attractive solution in situations where the concern is the reduction in the complexity.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133071553","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974068
F. Chee, T. Fernando, A. Savkin, P. V. van Heerden
A study was conducted to examine the use of the MiniMed(R) Continuous Glucose Monitoring System (CGMS) to measure blood sugar level (BSL) in real-time. Eight patients participated in the study after informed consent was obtained. When more than a 3 mmol/L deviation occurred between CGMS reading and BSL as determined by conventional blood glucose meter using blood sample drawn from an arterial line, CGMS was re-calibrated, and "regression calibration" was applied to better estimate the real-time BSL. The mean difference between the CGMS and Meter BSL readings was found to be -0.2 /spl plusmn/5.3 mmol/L (Mean/spl plusmn/1.96/spl times/Standard Deviation). Clarke's Error grid analysis showed that 64.6% of the CGMS BSL readings were clinically accurate (i.e. <20% deviation from Meter BSL) while 30.9% were clinically acceptable. A calibration technique suitable for use in estimating BSL in real-time is needed to make CGMS useful in clinical situations.
{"title":"The use of MiniMed CGMS in real-time glucose monitoring","authors":"F. Chee, T. Fernando, A. Savkin, P. V. van Heerden","doi":"10.1109/ANZIIS.2001.974068","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974068","url":null,"abstract":"A study was conducted to examine the use of the MiniMed(R) Continuous Glucose Monitoring System (CGMS) to measure blood sugar level (BSL) in real-time. Eight patients participated in the study after informed consent was obtained. When more than a 3 mmol/L deviation occurred between CGMS reading and BSL as determined by conventional blood glucose meter using blood sample drawn from an arterial line, CGMS was re-calibrated, and \"regression calibration\" was applied to better estimate the real-time BSL. The mean difference between the CGMS and Meter BSL readings was found to be -0.2 /spl plusmn/5.3 mmol/L (Mean/spl plusmn/1.96/spl times/Standard Deviation). Clarke's Error grid analysis showed that 64.6% of the CGMS BSL readings were clinically accurate (i.e. <20% deviation from Meter BSL) while 30.9% were clinically acceptable. A calibration technique suitable for use in estimating BSL in real-time is needed to make CGMS useful in clinical situations.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124326234","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 : 1900-01-01DOI: 10.1109/ANZIIS.2001.974092
B. R. Bracio, T. Bretschneider, J. Krozca, F. Breitenecker
The early detection of disorders of oxygen delivery to tissues of intensive care unit patients is of vital importance for them: State machines had been used to model four major disorders and the multiple scenarios identifying those. An existing simulation model of the human respiratory system had been extended with those models to detect oxygen related pathological conditions. The system is able to detect the disorders based on a given data set. The validation of the system had been done with offline data of ICU patients.
{"title":"Analysing biomedical data with state machines","authors":"B. R. Bracio, T. Bretschneider, J. Krozca, F. Breitenecker","doi":"10.1109/ANZIIS.2001.974092","DOIUrl":"https://doi.org/10.1109/ANZIIS.2001.974092","url":null,"abstract":"The early detection of disorders of oxygen delivery to tissues of intensive care unit patients is of vital importance for them: State machines had been used to model four major disorders and the multiple scenarios identifying those. An existing simulation model of the human respiratory system had been extended with those models to detect oxygen related pathological conditions. The system is able to detect the disorders based on a given data set. The validation of the system had been done with offline data of ICU patients.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125091712","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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