{"title":"The Measurement of Blood Pressure During Sleep","authors":"H. Dajani, R. Leung","doi":"10.1109/MEMEA.2008.4543011","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543011","url":null,"abstract":"The measurement of blood pressure (BP) variations during sleep can provide very useful information for diagnosing and managing hypertension, and for assessing cardiovascular function in general. This paper gives an overview of the clinical significance of nocturnal BP and of the technical challenges involved in measuring it, and compares technologies that perform intermittent measurements with technologies that measure the continuous BP waveform. It also identifies likely future developments in this field, including the convergence of ambulatory monitoring and the measurement of the continuous waveform, and the wider use of polysomnography (in which other cardio-respiratory signals are also recorded) as a screening tool for detecting sleep apnea in the management of hypertension.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"717 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116127104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measurement of Progress for Haptic Motor Rehabilitation Patients","authors":"R. Kayyali, S. Shirmohammadi, A. El Saddik","doi":"10.1109/MEMEA.2008.4543009","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543009","url":null,"abstract":"As Haptic devices become more affordable and economical, research in Haptic-based virtual rehabilitation systems is gaining more interest. In addition to the benefits provided by virtual rehabilitation, Haptics offer force and tactile feedback which can be crucial for many upper and lower extremity rehabilitation. In this paper, we present such a system that provides a rich media environment for motor rehabilitation of stroke patients. The system can be used by occupational therapists to measure and monitor the progress of rehab patients.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122252463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards the development of an Integrated Sensing System for Health Monitoring","authors":"S. Mukhopadhyay, G. Sen Gupta","doi":"10.1109/MEMEA.2008.4543000","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543000","url":null,"abstract":"This paper presents the design of a low-cost physical parameter measurement device used to monitor useful parameters like heart rate, temperature, blood pressure, blood oxygen saturation, etc. of a human subject. These measurements are wirelessly transmitted to a receiver which sends out an alarm if any of these values are out of the expected predicted measurements. This device consists of a wrist unit incorporated with the electronics for the sensors and a remote PC for data logging and alarm. The device consists of sensors that detect if the user needs medical attention and sends out an alarm to eliminate the need for a caregiver to monitor the patient all day. The device is intended to provide continuous medical monitoring without causing inconvenience to the user to be able to wear it all the time. The sensors used provide measurements for the heart rate, temperature, blood oxygen saturation and impact. These measurements are in analog form so a microcontroller is used to convert them into digital form and perform the required signal manipulation to provide the monitoring.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"44 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120872741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Precise Recognition of Complicated hand Operations Based on EEG and Master-Slave Neural Network","authors":"Xiaodong Zhang, H. Choi","doi":"10.1109/MEMEA.2008.4542988","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542988","url":null,"abstract":"As a good classifier, BP neural network has been applied in many engineering research questions. However, because of some inherent shortages, especially chaotic behaviors in the network learning, it is very difficult or impossible to apply the artificial neural network into the precise recognition of the complicated hand operations based on electroencephalography (simply denoted as EEG). Based on good properties of the Hopfield neural network, a new master-slave neural network model (simply denoted as MSNN) is presented in this paper firstly, whose master network is two Hopfield networks, and the other slave network is a BP network, respectively. After its structure had been innovatively designed, the training algorithm of the MSNN was simply discussed. And then, a two- channel EEG measurement system was set up, and the feature of the related EEG signals extracted. At last, some complicated hand operations are respectively recognized by using the MSNN and BP neural network. The comparable analysis results showed that the MSNN had a better asymptotic convergence rate and a higher mapping precision, so that it gave higher recognition possibilities than the BP network did, whose recognition possibility was improved from 50%, 40%, 40%, 40%, 50%, 40%, and 50% to 70%, 60%, 70%, 70%, 80%, 60%, and 80% for grasping, relaxation, dynamic grasping, dynamic loosing, grasping a small bar, grasping a hard paper, and grasping a baseball of the seven complicated hand operations, respectively.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132945066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Standardizing blood pressure measurement - is it possible?","authors":"R. Leca, V. Groza","doi":"10.1109/MEMEA.2008.4543013","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543013","url":null,"abstract":"It was a minor scandal that scientists paid no attention to Dr. Korotkov's provocative foray into their territory with his method for measuring blood pressure. That was in 1905, the \"miracle year\" in physics, yet no one wondered why it took a surgeon to resolve a physical measurement problem. More than 100 years later, Korotkov's method remains largely unchanged and unchallenged - a gold standard indeed. This imposes the question of why science and engineering keep failing us in what we need to know first and do best -physical examination of the pulse. We comment on this question to show that we still do not have the necessary means for even discussing the issue and that, in the gigantic business of modern medicine, this issue is the proverbial butterfly behind the chaos in healthcare.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116325642","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}
O. Postolache, P. Girão, P. Sinha, A. Anand, G. Postolache
{"title":"Health Status Monitor Based on Embedded Photoplethysmography and Smart Phone","authors":"O. Postolache, P. Girão, P. Sinha, A. Anand, G. Postolache","doi":"10.1109/MEMEA.2008.4542994","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4542994","url":null,"abstract":"The paper presents a wireless personal area network (WPAN) including two Bluetooth enabled measuring nodes that delivers information about some physiological parameters extracted from plethysmography signals and provides information of indoor air temperature and relative humidity. The data from the node of physiological and air parameter measurements are received by a smart phone device through Bluetooth communication. J2ME developed software assures Bluetooth device detection and identification, data reading, primary processing, data storage and automatic alarm generation. Critical health status associated with the assessed person leads to an automatic SMS generation. Elements related to heart rate variability estimation are also included.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"733 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120882970","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}
D. Beverly, Bradley, C. AdrianD., '. Chan, D. M.John, Hayes
{"title":"A 3D Scanning System for Biomedical Purposes Using the Laser Light-sectioning Method and Elliptical Fourier Descriptors","authors":"D. Beverly, Bradley, C. AdrianD., '. Chan, D. M.John, Hayes","doi":"10.1109/MEMEA.2008.4543007","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543007","url":null,"abstract":"The use of three-dimensional (3D) scanning systems has recently been gaining popularity in the biomedical field for a variety of applications requiring the external shape features of biological objects. The potential exists to expand the use of 3D models even further, by continuing to develop simpler, more cost effective scanning systems. In this paper, a simple, lost cost, 3D scanning system is presented, which employs the laser light-sectioning technique for data acquisition. Elliptical Fourier Descriptors are used for data smoothing and planar section reconstruction. Results of a proof of concept experiment for the proposed system demonstrate the validity of the chosen approach. Directions for future work are also discussed.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132082408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection of unreliable measurements in multi-sensor devices","authors":"Yednek Asfawl, A. Adler","doi":"10.1109/MEMEA.2008.4543003","DOIUrl":"https://doi.org/10.1109/MEMEA.2008.4543003","url":null,"abstract":"Multi-sensor monitoring devices that use skin surface or implanted sensors are susceptible to changes in temperature, sweat, and movement, such that the measured data cannot be used. This paper presents an automatic approach to detect such erroneous sensors. It is based on the assumption that valid measurements are related by a reconstruction model, while measurements from erroneous sensors are unrelated. The method estimates the data at each sensor based on the measurements from all other sensors, and compares it to the measurements. The sensor-data match is tested using ANOVA to detect the presence of an erroneous sensor. The method was tested on simulated and experimental data of electrical impedance tomography (EIT) and ECG data which showed consistent identification of erroneous electrodes.","PeriodicalId":186841,"journal":{"name":"2008 IEEE International Workshop on Medical Measurements and Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474466","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}