Pub Date : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360098
Carmen C. Y. Poon, Yuan-ting Zhang, Yinbo Liu
The pulse transit time (PTT)-based approach has been proposed as a noninvasive and cuffless alternative to the conventional occluding-cuff approaches to be used in wearable medical devices for long-term and continuous monitoring of blood pressure (BP). Nevertheless, the PTT-based technique requires an individualized calibration procedure. In order to derive a simple procedure for estimating individualized coefficients for this approach, this paper aims to model PTT under the effects of hydrostatic pressure due to hand elevation. In this study, 11 volunteers were recruited. BP and PTT were measured while the subjects elevated their hands to specific heights above heart level (h). The results of the study show that PTT changes significantly with h (p<0.05) and the relationship between them generally agrees with that derives from the theoretical model. This suggests that using the proposed model, individualized coefficients for estimating BP by the PTT-based approach can be obtained from some simple movements such as hand elevation.
{"title":"Modeling of Pulse Transit Time under the Effects of Hydrostatic Pressure for Cuffless Blood Pressure Measurements","authors":"Carmen C. Y. Poon, Yuan-ting Zhang, Yinbo Liu","doi":"10.1109/ISSMDBS.2006.360098","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360098","url":null,"abstract":"The pulse transit time (PTT)-based approach has been proposed as a noninvasive and cuffless alternative to the conventional occluding-cuff approaches to be used in wearable medical devices for long-term and continuous monitoring of blood pressure (BP). Nevertheless, the PTT-based technique requires an individualized calibration procedure. In order to derive a simple procedure for estimating individualized coefficients for this approach, this paper aims to model PTT under the effects of hydrostatic pressure due to hand elevation. In this study, 11 volunteers were recruited. BP and PTT were measured while the subjects elevated their hands to specific heights above heart level (h). The results of the study show that PTT changes significantly with h (p<0.05) and the relationship between them generally agrees with that derives from the theoretical model. This suggests that using the proposed model, individualized coefficients for estimating BP by the PTT-based approach can be obtained from some simple movements such as hand elevation.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116452768","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360114
A. Akahori, Y. Kishimoto, K. Oguri
Recently, a person who has a risk or patient of metabolic syndrome or diabetes or life-style related diseases are increasing. So, walking has gotten a lot of attention as a prevention method. Pedometer is often used in walking. Recently, pedometer calculates energy expenditure from number of steps and their weight. But, there is not pedometer which calculated energy expenditure from consider the walking involved with slope. So in this study, we use only one three-axis acceleration sensor. And we proposed the estimate activity algorithm to analysis of data from sensor. For evaluation experiment 50 data were collected from 10 healthy subjects. As a result, a good result of no less than 95% was obtained in "stop", "walk", "upstairs", and "downstairs".
{"title":"Estimate activity for M-health using one three-axis accelerometer","authors":"A. Akahori, Y. Kishimoto, K. Oguri","doi":"10.1109/ISSMDBS.2006.360114","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360114","url":null,"abstract":"Recently, a person who has a risk or patient of metabolic syndrome or diabetes or life-style related diseases are increasing. So, walking has gotten a lot of attention as a prevention method. Pedometer is often used in walking. Recently, pedometer calculates energy expenditure from number of steps and their weight. But, there is not pedometer which calculated energy expenditure from consider the walking involved with slope. So in this study, we use only one three-axis acceleration sensor. And we proposed the estimate activity algorithm to analysis of data from sensor. For evaluation experiment 50 data were collected from 10 healthy subjects. As a result, a good result of no less than 95% was obtained in \"stop\", \"walk\", \"upstairs\", and \"downstairs\".","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940683","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360095
Bing-Nan Li, M. Dong, M. Vai
Health prognosis based on pulsatile blood flow signals owns a long tradition in oriental medicine. The secrets of pulse diagnosis have been partially explained by anatomy and hemodynamic analysis in contemporary western medicine. Now it is possible to obtain pulsatile blood flow signals by means of various mechanical, photoelectrical, and acoustic transducers. Meanwhile, with the introduction of advanced signal processing methods, pulsatile blood flow signals have exhibited great potentials to reveal intrinsic pathophysiological condition of cardiovascular system. Therefore, sphygmogram analyzers based on pulse signal monitoring and analysis have been proposed for health prognosis of cardiovascular system in home health monitoring. This paper is aimed to review methods and systems for pulse signal monitoring and analysis in a tutorial manner.
{"title":"Pulse Signal Monitoring and Analysis for Home Healthcare","authors":"Bing-Nan Li, M. Dong, M. Vai","doi":"10.1109/ISSMDBS.2006.360095","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360095","url":null,"abstract":"Health prognosis based on pulsatile blood flow signals owns a long tradition in oriental medicine. The secrets of pulse diagnosis have been partially explained by anatomy and hemodynamic analysis in contemporary western medicine. Now it is possible to obtain pulsatile blood flow signals by means of various mechanical, photoelectrical, and acoustic transducers. Meanwhile, with the introduction of advanced signal processing methods, pulsatile blood flow signals have exhibited great potentials to reveal intrinsic pathophysiological condition of cardiovascular system. Therefore, sphygmogram analyzers based on pulse signal monitoring and analysis have been proposed for health prognosis of cardiovascular system in home health monitoring. This paper is aimed to review methods and systems for pulse signal monitoring and analysis in a tutorial manner.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124813422","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360120
Shaohui Huang, Boliang Wang, Xiaoyang Huang
Liver segmentation on computed tomography (CT) images is a challenging task because the images are often corrupted by noise and sampling artifacts. Thus we choose GVF snake to perform the task. Unfortunately, GVF snake use Gaussian function to generate the edge map. We find that this often cause new problems such as blur the liver boundary. To avoid this, a Canny edge detector is a good choice. Another problem during the segmentation is that GVF snake cannot works well with bad initialization, especially when encounter deep concavities. Fortunately we find that if the initial contour can cross the "bottleneck" of the deep concave, it can easily reach the boundary of liver. Thus an algorithm was developed to generate the initial contour automatically. We introduce a new "maximum force angle map" to evaluate the direction variability of the GVF forces. This map can mark up the "bottleneck " and give a trace to run through it. There may be other trace we do not need in the map. With the help of transcendental knowledge about the liver, such as the position, the shape and the Hounsfield unit range of the liver, the correct trace can be found. The contour of this trace is suitable for using as initial contour for GVF snake. By this means we finally segment the liver slice by slice correctly.
{"title":"Using GVF Snake to Segment Liver from CT Images","authors":"Shaohui Huang, Boliang Wang, Xiaoyang Huang","doi":"10.1109/ISSMDBS.2006.360120","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360120","url":null,"abstract":"Liver segmentation on computed tomography (CT) images is a challenging task because the images are often corrupted by noise and sampling artifacts. Thus we choose GVF snake to perform the task. Unfortunately, GVF snake use Gaussian function to generate the edge map. We find that this often cause new problems such as blur the liver boundary. To avoid this, a Canny edge detector is a good choice. Another problem during the segmentation is that GVF snake cannot works well with bad initialization, especially when encounter deep concavities. Fortunately we find that if the initial contour can cross the \"bottleneck\" of the deep concave, it can easily reach the boundary of liver. Thus an algorithm was developed to generate the initial contour automatically. We introduce a new \"maximum force angle map\" to evaluate the direction variability of the GVF forces. This map can mark up the \"bottleneck \" and give a trace to run through it. There may be other trace we do not need in the map. With the help of transcendental knowledge about the liver, such as the position, the shape and the Hounsfield unit range of the liver, the correct trace can be found. The contour of this trace is suitable for using as initial contour for GVF snake. By this means we finally segment the liver slice by slice correctly.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126852315","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360089
N. Ince, Cheol-Hong Min, A. Tewfik
We describe an inexpensive in-home monitoring system designed to assist patients with traumatic brain injuries plan and execute daily activities. The system consists of fixed and wearable wireless sensors, including motion, pressure, door, flow, accelerometer, magnetometer, temperature, light and sound sensors. The sensors provide information that can be used to localize the patient, detect the activity they are engaged in and interruptions that may prevent them from completing the activity in a timely manner. During the system design and training phase, we augment the system with time stamped video and audio collection to provide a ground truth and label training data.
{"title":"Integration of Wearable Wireless Sensors and Non-Intrusive Wireless in-Home Monitoring System to Collect and Label the Data from Activities of Daily Living","authors":"N. Ince, Cheol-Hong Min, A. Tewfik","doi":"10.1109/ISSMDBS.2006.360089","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360089","url":null,"abstract":"We describe an inexpensive in-home monitoring system designed to assist patients with traumatic brain injuries plan and execute daily activities. The system consists of fixed and wearable wireless sensors, including motion, pressure, door, flow, accelerometer, magnetometer, temperature, light and sound sensors. The sensors provide information that can be used to localize the patient, detect the activity they are engaged in and interruptions that may prevent them from completing the activity in a timely manner. During the system design and training phase, we augment the system with time stamped video and audio collection to provide a ground truth and label training data.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117014754","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360099
F. Gramatica, R. Carabalona, M. Casella, C. Cepek, E. Di Fabrizio, M. Di Rienzo, L. Gavioli, M. Matteucci, F. Rizzo, M. Sancrotti
Partially or completely paralyzed patients can benefit from advanced neuro-prostheses in which a continuous recording of electroencephalogram (EEG) is required, operating some processing and classification to control a computer (BCI, brain-computer interfaces). Patients are so allowed to control external devices or to communicate simple messages through the computer, just concentrating their attention on codified movements or on a letter or icon on a digital keyboard. Conventional electrodes usually require skin preparation and application of electrolytic gel for high quality low amplitude biopotentials recordings and are not suitable for being easily used by patient or caregivers at home in BCI or equivalent systems. In this report we describe the fabrication and characterization of dry (gel not required), non-invasive, user-friendly biopotential electrodes. The electrodes consist of a bidimensional array of micro-needles designed to pierce the first dielectric skin layer (stratum corneum) and establishing a direct contact with the living and electrical conducting cells in the epidermis (no blood vessels and nerve terminations). The easy and immediate application of the spiked electrodes makes them also attractive for every surface long-term biosignal measurements, even at patient's home (EEG, electrocardiogram, etc).
{"title":"Micropatterned non-invasive dry electrodes for Brain-Computer Interface","authors":"F. Gramatica, R. Carabalona, M. Casella, C. Cepek, E. Di Fabrizio, M. Di Rienzo, L. Gavioli, M. Matteucci, F. Rizzo, M. Sancrotti","doi":"10.1109/ISSMDBS.2006.360099","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360099","url":null,"abstract":"Partially or completely paralyzed patients can benefit from advanced neuro-prostheses in which a continuous recording of electroencephalogram (EEG) is required, operating some processing and classification to control a computer (BCI, brain-computer interfaces). Patients are so allowed to control external devices or to communicate simple messages through the computer, just concentrating their attention on codified movements or on a letter or icon on a digital keyboard. Conventional electrodes usually require skin preparation and application of electrolytic gel for high quality low amplitude biopotentials recordings and are not suitable for being easily used by patient or caregivers at home in BCI or equivalent systems. In this report we describe the fabrication and characterization of dry (gel not required), non-invasive, user-friendly biopotential electrodes. The electrodes consist of a bidimensional array of micro-needles designed to pierce the first dielectric skin layer (stratum corneum) and establishing a direct contact with the living and electrical conducting cells in the epidermis (no blood vessels and nerve terminations). The easy and immediate application of the spiked electrodes makes them also attractive for every surface long-term biosignal measurements, even at patient's home (EEG, electrocardiogram, etc).","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127146290","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360112
B. Gill, P. C. Fletter, P. Zaszczurynski, A. Perlin, D. Yachia, M. Damaser
Clinical urodynamics is the present standard for diagnosing voiding dysfunction. The nonphysiological nature of this exam often hinders symptom reproduction in the laboratory. Currently, a small intrabladder device is being developed to conduct ambulatory urodynamics. This study investigates the feasibility of using fluid volume conductance for the realtime intravesical volume measurement needed in urodynamics. Prototype devices are polymer bodies having 4 electrodes. Electrode configurations and probe geometries were tested in bladder-like latex vessels using saline having conductivity similar to urine. Sensitivity to temperature and fluid concentration were determined using fresh pig bladders in vitro. The voltage across the fluid volume was found to be inversely related to volume. The ideal probe configuration was found to be an ellipsoid having strip electrodes spaced at 25deg. Increasing fluid temperature and concentration increased solution conductivity, significantly decreasing the measured voltage. Urine's dynamic chemical properties therefore necessitate real-time compensation of conductivity in clinical application; which could be accomplished with another smaller electrode array.
{"title":"Fluid Volume Conductance for Determination of Bladder Volume","authors":"B. Gill, P. C. Fletter, P. Zaszczurynski, A. Perlin, D. Yachia, M. Damaser","doi":"10.1109/ISSMDBS.2006.360112","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360112","url":null,"abstract":"Clinical urodynamics is the present standard for diagnosing voiding dysfunction. The nonphysiological nature of this exam often hinders symptom reproduction in the laboratory. Currently, a small intrabladder device is being developed to conduct ambulatory urodynamics. This study investigates the feasibility of using fluid volume conductance for the realtime intravesical volume measurement needed in urodynamics. Prototype devices are polymer bodies having 4 electrodes. Electrode configurations and probe geometries were tested in bladder-like latex vessels using saline having conductivity similar to urine. Sensitivity to temperature and fluid concentration were determined using fresh pig bladders in vitro. The voltage across the fluid volume was found to be inversely related to volume. The ideal probe configuration was found to be an ellipsoid having strip electrodes spaced at 25deg. Increasing fluid temperature and concentration increased solution conductivity, significantly decreasing the measured voltage. Urine's dynamic chemical properties therefore necessitate real-time compensation of conductivity in clinical application; which could be accomplished with another smaller electrode array.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126760001","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360092
S. Nag, D. Sharma
A widespread requirement exists for a low cost and reliable health monitor in the clinical as well as home environment. The e-jacket presented here is an example of a smart clothing system with multiple bioparameter acquisition of electrocardiogram (ECG), pulse oximetry, body motion/tilt and skin temperature. The battery operated circuit has an integrated graphic liquid crystal display (LCD) screen and a 2.4 GHz wireless link. An RS232 interface provides a plug-in port for easy accessibility to remote telemedicine applications. The system incorporates an efficient ARM7 microcontroller to coordinate a list of software tasks with associated time stamp. Comfort analysis and reliability aspects have been carefully studied along with intelligent power conservation schemes. A low cost and reliable tele-medical network is proposed using an innovative e-textile solution.
{"title":"Wireless E-Jacket for Multiparameter Biophysical Monitoring and Telemedicine Applications","authors":"S. Nag, D. Sharma","doi":"10.1109/ISSMDBS.2006.360092","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360092","url":null,"abstract":"A widespread requirement exists for a low cost and reliable health monitor in the clinical as well as home environment. The e-jacket presented here is an example of a smart clothing system with multiple bioparameter acquisition of electrocardiogram (ECG), pulse oximetry, body motion/tilt and skin temperature. The battery operated circuit has an integrated graphic liquid crystal display (LCD) screen and a 2.4 GHz wireless link. An RS232 interface provides a plug-in port for easy accessibility to remote telemedicine applications. The system incorporates an efficient ARM7 microcontroller to coordinate a list of software tasks with associated time stamp. Comfort analysis and reliability aspects have been carefully studied along with intelligent power conservation schemes. A low cost and reliable tele-medical network is proposed using an innovative e-textile solution.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121879129","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360085
J. Espina, T. Falck, J. Muehlsteff, X. Aubert
This paper describes an unobtrusive IEEE 802.15.4-based wireless body sensor network (BSN) that enables continuous cuff-less blood pressure monitoring, opening up new perspectives for hypertension diagnosis and treatment, cardio-vascular event detection, and stress monitoring. We estimate the arterial blood pressure based on the pulse arrival time (PAT), which is measured with a waist electrocardiogram (ECG) and an ear photo-plethysmogram (PPG). The PAT measurement requires the synchronization of the wireless sensors' clocks. This is achieved with the flooding time synchronization protocol (FTSP). The evaluation of both the implemented time synchronization and the robustness of the wireless data transmission yielded promising results. Future work will include the study of packet collisions in synchronized IEEE 802.15.4 networks, the enhancement of the BSN with additional context-providing sensors (e.g. accelerometer, magnetometer, thermistor), and the integration of the blood pressure estimation algorithm in a wireless sensor unit.
{"title":"Wireless Body Sensor Network for Continuous Cuff-less Blood Pressure Monitoring","authors":"J. Espina, T. Falck, J. Muehlsteff, X. Aubert","doi":"10.1109/ISSMDBS.2006.360085","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360085","url":null,"abstract":"This paper describes an unobtrusive IEEE 802.15.4-based wireless body sensor network (BSN) that enables continuous cuff-less blood pressure monitoring, opening up new perspectives for hypertension diagnosis and treatment, cardio-vascular event detection, and stress monitoring. We estimate the arterial blood pressure based on the pulse arrival time (PAT), which is measured with a waist electrocardiogram (ECG) and an ear photo-plethysmogram (PPG). The PAT measurement requires the synchronization of the wireless sensors' clocks. This is achieved with the flooding time synchronization protocol (FTSP). The evaluation of both the implemented time synchronization and the robustness of the wireless data transmission yielded promising results. Future work will include the study of packet collisions in synchronized IEEE 802.15.4 networks, the enhancement of the BSN with additional context-providing sensors (e.g. accelerometer, magnetometer, thermistor), and the integration of the blood pressure estimation algorithm in a wireless sensor unit.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130752327","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 : 2006-09-01DOI: 10.1109/ISSMDBS.2006.360121
H. Rabbani, M. Vafadoost, I. Selesnick, S. Gazor
Recently, it has been shown that algorithms exploiting dependencies between coefficients for modeling probability density function (pdf) of wavelet coefficients, could achieve better results for image denoising in wavelet domain compared with the ones based on the independence assumption. In this context, we design a bivariate maximum a posteriori (MAP) estimator which relies on a mixture of bivariate Gaussian models. This model not only is bivariate but also is mixture and therefore, using this new statistical model, we are able to better capture heavy-tailed natures of the data as well as the interscale dependencies of wavelet coefficients. The simulation results show that our proposed technique achieves better performance than several published methods both visually and in terms of peak signal-to-noise ratio (PSNR).
{"title":"Image Denoising Based on A Mixture of Bivariate Gaussian Models in Complex Wavelet Domain","authors":"H. Rabbani, M. Vafadoost, I. Selesnick, S. Gazor","doi":"10.1109/ISSMDBS.2006.360121","DOIUrl":"https://doi.org/10.1109/ISSMDBS.2006.360121","url":null,"abstract":"Recently, it has been shown that algorithms exploiting dependencies between coefficients for modeling probability density function (pdf) of wavelet coefficients, could achieve better results for image denoising in wavelet domain compared with the ones based on the independence assumption. In this context, we design a bivariate maximum a posteriori (MAP) estimator which relies on a mixture of bivariate Gaussian models. This model not only is bivariate but also is mixture and therefore, using this new statistical model, we are able to better capture heavy-tailed natures of the data as well as the interscale dependencies of wavelet coefficients. The simulation results show that our proposed technique achieves better performance than several published methods both visually and in terms of peak signal-to-noise ratio (PSNR).","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132168168","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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