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Medical Measurements and Applications, 2008. MeMeA 2008. IEEE International Workshop on

Date 9-10 May 2008

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  • [Front cover]

    Publication Year: 2008 , Page(s): C1
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  • [Copyright notice]

    Publication Year: 2008 , Page(s): ii
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  • MeMeA 2008 - IEEE International Workshop on Medical Measurements and Applications Proceedings

    Publication Year: 2008 , Page(s): iii
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  • Table of contents

    Publication Year: 2008 , Page(s): iv - vii
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  • Message from the Chairmen

    Publication Year: 2008 , Page(s): viii
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  • The How and Why of Medical Devices Standards

    Publication Year: 2008 , Page(s): ix
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    The utilization of medical devices includes prevention, diagnosis and treatment of disease. Despite the many benefits, devices also pose potential adverse effects. As a result, standards have been implemented as a precluding determinant to protect the public against adverse effects and support approval for clinical use. Standards are formulated based on the following: 1. Safety, efficacy and protection of society 2. Need for helping patients 3. Scientific knowledge available at the time of device/drug approval 4. Level of risk that is acceptable, reasonable and can be acceptable by all stakeholders including patients, society, hospitals, healthcare providers and governments Valid, scientific evidence is required for reasonable assurance of the safety of a particular medical device. It is imperative that this evidence be measured using a dynamic set of standards formulated by all stakeholders. View full abstract»

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  • MeMeA 2008 Technical Program Committee

    Publication Year: 2008 , Page(s): x
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  • Hand-Gesture and Facial-Expression Human-Computer Interfaces for Intelligent Space Applications

    Publication Year: 2008 , Page(s): 1 - 6
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    The paper discusses two body-language human-computer interaction modalities, namely the hand gesture and facial expression, for intelligent space applications such as elderly care and smart home applications. View full abstract»

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  • Precise Recognition of Complicated hand Operations Based on EEG and Master-Slave Neural Network

    Publication Year: 2008 , Page(s): 7 - 12
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (399 KB) |  | HTML iconHTML  

    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. View full abstract»

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  • Haptic Rehabilitation Exercises Performance Evaluation Using Fuzzy Inference Systems

    Publication Year: 2008 , Page(s): 13 - 18
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3527 KB) |  | HTML iconHTML  

    Nowadays stroke is becoming a leading cause of chronic disability in adults. Hand stroke patients loose the ability to control their hands and Angers. Rehabilitation of stroke patients with functional occupational therapy is conducted by training the patient to perform exercises from everyday life. A set of task oriented exercises utilizing haptic virtual environments was developed in our previous work; based on well established and common exercises known as Jebsen Test of Hand Function (JTHF). Quantizing the performance of the patient in an exercise is usually the responsibility of the therapist and is currently performed subjectively. The aim of this paper is to introduce a Fuzzy Inference System (FIS) that is able to utilize haptic data to quantize the patient's performance. However, when testing the system, it has been found that the CyberForce system is incapable of providing normative data for evaluating the patient performance due to calibration and consistency issues. View full abstract»

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  • Comparative Analysis of Tactile Sensitivity between Blind, Deaf and Unimpaired People

    Publication Year: 2008 , Page(s): 19 - 24
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1644 KB) |  | HTML iconHTML  

    - This paper presents the methodological procedures and the results of a tactile sensitivity analysis to vibrotactile stimuli. The procedure consists in the attempt of a visual, hearing impaired person as well as an unimpaired one, initially trained, to identify three vibrotactile standard stimuli ( target frequency from 17.8, 31.6 and 56.2 Hz) having as starting point the sending of an initial stimulus (initial frequency ). The results were obtained through the analyses between the rightness mean while identifying the target frequency, among 1) visually and hearing impaired people as well as unimpaired ones: 2) visually and hearing impaired men and women and unimpaired ones: 3) visually and hearing impaired children, teenagers and adults as well as unimpaired ones; and 4) people with congenital and acquired blindness or deafness. A comparative analysis was done between the tactile sensitivity of the forefinger and the thumb, middle, ring and little fingers, as well as a comparison between the sensitivities in the target frequencies in the three groups (blind, deaf and unimpaired people). The results assessment obtained in the experiment was based on the t-student statistical method for paired and independent samples and ANOVA with a classification criterion. View full abstract»

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  • Rapid Ball-and-Socket Joint Collision Detection

    Publication Year: 2008 , Page(s): 25 - 28
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5273 KB) |  | HTML iconHTML  

    Physically based modeling simulations require efficient physical interaction between objects in a scene. We developed a rapid and accurate system to detect collision and compute approximate stress between spherical objects by rasterizing the polygons with distance data in spherical coordinate system. Our system achieves much faster and more accurate performance in this case compared to the existing approaches. Weighted sampling is studied based on the conchoid representation of the hip joint. View full abstract»

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  • MRI Image Enhancement By PROPELLER Data Fusion

    Publication Year: 2008 , Page(s): 29 - 32
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4625 KB) |  | HTML iconHTML  

    The MRI image reconstruction supported by Toeplitz- based iterative super-resolution algorithm is presented in the paper. It is shown that the approach improves MRI spatial resolution in cases when multi-blade sequences are used. The PROPELLER MRI method collects data from rectangular regions (blades) rotated around the origin of the k-space. Inter-blade patient motion is the premise for the use of super-resolution technique. Images obtained from sets of irregularly located frequency domain samples are combined into the high resolution MRI image. The super-resolution reconstruction replaces usually applied direct averaging of low- resolution images. Furthermore high order affine motion model has been applied. View full abstract»

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  • Development of a Bed Sensor for an Integrated Digital Home Monitoring System

    Publication Year: 2008 , Page(s): 33 - 38
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (6254 KB) |  | HTML iconHTML  

    In modern civilization people live longer than before and it is expected that this increased longevity will be enjoyed in a safe, sound and secured living environment. But with increased of age mental abilities are reduced and there is a necessity of caregiver which may interfere with their privacy. In this research work, we target towards the development of a wireless sensors based home monitoring system especially for elder people. The current system is based on sensors which detect use of electrical appliances whether they are connected to electrical mains. But it has been realized to there is a requirement of a few more sensors to making a smart home monitoring system. This paper has reported the development of a bed-sensor which forms one sensor of the home monitoring system. View full abstract»

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  • Health Status Monitor Based on Embedded Photoplethysmography and Smart Phone

    Publication Year: 2008 , Page(s): 39 - 43
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1504 KB) |  | HTML iconHTML  

    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. View full abstract»

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  • Characterization and Design of EEG Classifier: Uncertainty and Modeling

    Publication Year: 2008 , Page(s): 44 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4958 KB) |  | HTML iconHTML  

    EEG signals reveal interesting information about human being's cerebral activity. Nowadays information contents can help physicians especially in rehabilitation operations, that is, it is possible to design specific biomedical experimentation in order to help patients to retrieve acceptable and good conditions of their physical apparatus or specific areas of them. In this paper, preliminary criteria of designing and implementing an EEG classification are proposed. A modeling of classification rules is also described. View full abstract»

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  • An Adaptively Tunable Model of the Cardiac Signal for the Bio-Impedance Signal Decomposer (BISD)

    Publication Year: 2008 , Page(s): 49 - 52
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5244 KB) |  | HTML iconHTML  

    The paper presents the further development of the bio- impedance signal decomposer (BISD) of the total bio-impedance (BI) signal to its cardiac and respiratory components. The Jacobi orthonormal polynomials based adaptively tunable model of the cardiac BI signal is proposed in the paper, which plays very important role in the decomposition task. The importance arises from the fact, that the BISD must be reliable and have to correct operate with signals taken from different persons, and in such cases, when the cardiac BI signal of a person is changing in time. For the proposed system the reliability significantly depends on the difference between the model of the cardiac signal and the real cardiac signal (the reference signal). The averaged through several periods version of the already separated cardiac BI signal is used as reference signal in the proposed algorithm for tuning the parameters of the cardiac BI signal model using a modified Newton adaptation algorithm. After the model is elaborated, the system separates the cardiac and the respiratory components more accurately by tracking the cardiac BI signal. View full abstract»

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  • Full range Complex Fourier Domain Optical Coherence Tomography based on a Quadrature Mach-Zehnder Interferometer

    Publication Year: 2008 , Page(s): 53 - 55
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (848 KB) |  | HTML iconHTML  

    An optical setup for a full range complex Fourier domain optical coherence tomography is proposed and the associated features discussed. We propose a novel interferometric platform based on a quadrature Mach-Zehnder interferometer with a 3 times 3 fiber coupler. This interferometric configuration is used in a homodyne configuration and the complex interferometric signal is reconstructed so the complex conjugate ambiguity is removed. A fast swept laser source with a bandwidth of 100 nm is used as light source. The depth information is extracted through inverse Fourier transform of the complex interferometric signal. Tomographic images of a human fingerprint were displayed. View full abstract»

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  • Nasal cycle analysis with the use of acoustic rhinometry

    Publication Year: 2008 , Page(s): 56 - 60
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    The work presents the results of a new way of nasal cycle assessment using acoustic rhinometry as a data source and cross-spectrum to process measurement results. The results of the research conducted on the group of 12 young volunteers were shown. Nasal cycles were present in 75% cases and lasted 110 minutes on average. The described methodology shall be of clinical importance in the course of allergy assessment as well as widely understood rhinology diagnostics. View full abstract»

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  • Search for abnormal thermal patterns in clinical thermal infrared imaging

    Publication Year: 2008 , Page(s): 61 - 65
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1346 KB) |  | HTML iconHTML  

    This paper presents a technique to uncover abnormal thermal patterns in clinical thermal infrared images. When little information is known about pathological states, the search for abnormal thermal patterns is difficult. Supervised approaches require extensive knowledge about the distribution of abnormal patterns and are not appropriate for blind searches. We propose an approach that is based on a fusion of clusters from feature images and from an unsupervised clustering adaptive resonance theory (ART) neural network. We show that abnormal thermal patterns can be recovered in a selected number of controlled cases, where the number and location of anomalies are known. First results indicate the potential usefulness of our method for large scale screening of patients. View full abstract»

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  • Towards the development of an Integrated Sensing System for Health Monitoring

    Publication Year: 2008 , Page(s): 66 - 70
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1135 KB) |  | HTML iconHTML  

    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. View full abstract»

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  • Breathing Signal Fusion in Pressure Sensor Arrays

    Publication Year: 2008 , Page(s): 71 - 76
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2525 KB) |  | HTML iconHTML  

    Pressure sensors can be used to unobtrusively obtain breathing signals from a person in bed. Obtaining a single representation of the breathing signal from an array of such sensors requires data-level fusion. We propose a decision directed adaptive linear estimator to perform this fusion online. The proposed method was compared with three other online fusion methods and two offline methods using one hundred data records collected from five healthy participants. The decision directed adaptive linear estimator had signal to noise ratios comparable to the offline correlation method that it was adapted from and better mutual information results. In the presence of movement noise and for low amplitude signals, the proposed method also provides good fusion performance. View full abstract»

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  • Toward Fully Integrated CMOS Based Capacitive Sensor for Lab-on-Chip Applications

    Publication Year: 2008 , Page(s): 77 - 80
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    In this paper, we present a hybrid capacitive sensor featuring a 0.18mum CMOS integrated circuit incorporated with a microfluidic channel and a polyelectrolyte sensing layer (PSL). We describe the formation of ultrathin PSL atop a microfabricated gold electrode (MGE) and CMOS sensor, and thereafter demonstrate the viability of this new approach for Lab- on-Chip (LoC) applications. A direct-write fabrication process (DWFP) is also employed to create microchannel above CMOS chip in order to direct chitosan and alginate solutions toward the electrodes and form an on- chip PSL for detection purposes. View full abstract»

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  • Detection of unreliable measurements in multi-sensor devices

    Publication Year: 2008 , Page(s): 81 - 86
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (6959 KB) |  | HTML iconHTML  

    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. View full abstract»

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  • Discrimination of Inconsistencies in Medical Data

    Publication Year: 2008 , Page(s): 87 - 92
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    Missing and erroneous values in patient cases can significantly impact the ability to perform biomedical research for identifying risk factors and causes of clinical events and disease progression. We present a framework that classifies the inconsistencies in a database to automatically process the data for research purposes. The goal is to improve the quality of medical databases by identifying the reason that data are missing, and automatically processing outliers and typographical errors to retain more information from a database. This framework presents an alternative to deleting cases with outliers and typographical errors, while also imputing relevant values into cases with missing data based on the reason that the data is missing, the source of the data, and the data type. View full abstract»

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