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Medical Measurements and Applications, 2009. MeMeA 2009. IEEE International Workshop on

Date 29-30 May 2009

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  • [Front cover]

    Publication Year: 2009 , Page(s): i
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  • [Copyright notice]

    Publication Year: 2009 , Page(s): ii
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  • Table of contents

    Publication Year: 2009 , Page(s): iii - xi
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  • Welcome message

    Publication Year: 2009 , Page(s): xii
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  • Committee

    Publication Year: 2009 , Page(s): xiii
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  • Thermoelectric generator design based on power from body heat for biomedical autonomous devices

    Publication Year: 2009 , Page(s): 1 - 4
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (6981 KB) |  | HTML iconHTML  

    Energy harvesting from human body has been undergoing an interesting and quick development thanks to the technological availability of new electronic components and the growing of different applications, in particular, for biomedical and social impacts on human beings' daily life. The main scope of this paper is to modeling and to design a thermoelectric generator that extracts energy from human tissue warmth in order to supply a biomedical hearing prosthesis for deaf persons. An array of sensors based on thermocouple effect has been used. A conditioning and accumulator circuitry has been designed and tested. View full abstract»

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  • Near-field microwave and mm-wave noninvasive diagnosis of human skin

    Publication Year: 2009 , Page(s): 5 - 7
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (689 KB) |  | HTML iconHTML  

    Microwave and mm-wave reflectometry is one of the potential techniques for diagnosis of human skin for detection of diseases such as skin cancer. It is shown that using an open-ended waveguide probe, non-contact measurements of the reflection properties of skin may be conducted leading to distinction between dielectric properties of normal and diseased skin. This technique can then be extended into a differential technique which enables skin property differentiation independent of the location on the body. This paper discusses the basics of the method along with some preliminary results. View full abstract»

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  • EMG wavelet analysis and metabolic study during cardiofitness activity

    Publication Year: 2009 , Page(s): 8 - 12
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (887 KB) |  | HTML iconHTML  

    Fitness centers offer a series of machines that can be used by participants independently from their training status. CardiowaveTM (CW) is a new device (Technogym R , Italy) that works simultaneously on three axes with a sliding movement of the lower limbs, activating different muscle groups according to the position maintained (i.e., Basic, B; Intermediate, I; Advanced, A; Free style, F). Thus, the purpose of the present study was to evaluate the muscle activity and exercise intensity in untrained individuals during all four positions and in the 3 intensity levels in order to optimize training programs for untrained individuals. Nine healthy and sedentary individuals (UT) were recruited for the study. To familiarize with the exercise protocol, participants underwent four sessions, each including a 12-min exercise protocol on a position performed at three intensity levels (i.e., 120, 200, 300 rpm). During the experimental sessions, surface electromyography (EMG) activity of rectus femoris, biceps femoris, and vastus medialis was recorded. Heart rate (HR), blood lactate, oxygen uptake (VO2) and RPE were evaluated during the test. An ANOVA for repeated measures was utilized in order to evaluate differences (p<0.05) in HR and muscle activation between the four difference positions. For each muscle a 4 (Positions) times 3 (intensity level) times 2 (Groups) ANOVA for repeated measures was applied to verify statistical differences (p<0.05) in EMG data expressed as percentages of basal values. View full abstract»

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  • Combining pixon concept with wavelet thresholding in medical image segmentation

    Publication Year: 2009 , Page(s): 13 - 16
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1102 KB) |  | HTML iconHTML  

    This paper presents an innovative pixon-based method for image segmentation. The novel method uses the combination of wavelet thresholding and the pixon concept. In our method the wavelet thresholding technique is used to smooth the image and prepare it for a more efficient pixon forming. In addition, utilizing the wavelet transform results in decreasing the pixons number, a faster performance and more robustness against unwanted environmental noises. In the next stage, the appropriate pixons are extracted and eventually we segment the image with the use of a hierarchical clustering method. The results of applying the proposed method on several different images indicate its better performance in image segmentation compared to the other methods. View full abstract»

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  • Portable embedded medical box implementation for health monitoring applications in avionic environments

    Publication Year: 2009 , Page(s): 17 - 21
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1677 KB) |  | HTML iconHTML  

    In the work described in this article, several types of health monitoring sensor modules have been integrated in a compact portable enclosure - such as Electrocardiogram, pulse rate, blood pressure, oximetry, temperature. In addition, a control board was designed and implemented with the purpose of interfacing and processing the data arriving from the sensor modules, and their transfer to a standard RS232 interface. The board was designed for low power operation at the minimum output data rate. To this end, maximum measurement time and also low sampling rate regarding the continuous health monitoring measurements (ECG, Oximetry) were considered. A two layered (Master-Slave) microcontroller architecture was configured to process the sensor output frame and embed relevant information, such as seat number, in order to make storage and data retrieval possible over a large network. A graphic display was also integrated with the aim of projecting passenger health state and triggering alarms when necessary. The medical box is connected to a wireless optical data network inside the aircraft cabin providing maximum flexibility. Although the primary purpose of the system realized was the alerting of trained onboard staff about a broad spectrum of possible health failures, remote health monitoring at ground presents itself as a possibility under the network infrastructure already in place. View full abstract»

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  • An ambient intelligent body sensor network for e-Health applications

    Publication Year: 2009 , Page(s): 22 - 25
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (604 KB) |  | HTML iconHTML  

    Body sensor network (BSN) has played a key role in the rapid advancement of e-Health applications. If it is properly designed, a BSN can act as an ambient intelligent environment by providing us not only time critical human body information but also the context and events mapped with raw sensory data. In this paper, we propose the design of a BSN, which offers two features 1) capability of pushing sensory data and events from one's BSN, and ambient information from surrounding environment to a remote healthcare center and 2) facility of remotely querying any sensory data from one's BSN even if he is at home or outside. As a proof of concept, we created a testbed which can interact with the BSN in both communication ways. Finally, we present some preliminary test results that show the viability of the system. View full abstract»

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  • Parametric representation of human breast shapes

    Publication Year: 2009 , Page(s): 26 - 30
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1329 KB) |  | HTML iconHTML  

    This paper proposes a novel technique to describe the shapes of women breasts in a low dimensional parameter space. The parameterization is obtained applying Principal Component Analysis (PCA) to a data set of about 40 Nuclear Magnetic Resonances of female breasts taken in a prone position. The resulting principal modes may be used as clinical indicator and have a direct medical interpretation. View full abstract»

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  • A remote doctor for homecare and medical diagnoses on cardiac patients by an adaptive ECG analysis

    Publication Year: 2009 , Page(s): 31 - 36
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1826 KB) |  | HTML iconHTML  

    Today the telemedicine applications are experiencing rapid growth. The possibility of having portable devices to use comfortably at home for monitoring the health of the patient has involved many research areas. In this paper a remote doctor for homecare and medical diagnoses on cardiac patient is proposed. An original smart system has been projected in order to adapt itself to the patient and develop, in this way, a personalized diagnosis taking into account his personal data and his clinical history; a practical and economical device that can adapt to any type of patient. The system is based on a PDA and an ECG sensor which acquires, at a fixed sampling frequency, the heart electrical impulses. In details, a removable and updatable memory is used to store the clinical and personal patient data, while an additional internal and read-only memory stores information on the metrological status of the measurement system. On PDA display, it is possible to observe the ECG signal graph, the information relating to diagnosis and the measurement uncertainty. The patient also has the opportunity to print the results by a Bluetooth printer. Through build-in models the ECG waveform is analyzed in order to diagnose possible arrhythmias occurrences or the happening of a heart attack according to some parameters like age, sex and physical constitution of the patient, and information on the measurement uncertainty. The embedded information on the system metrological performances and patient data are used to configure the computing algorithm and so to reduce the happening of diagnosis faults. View full abstract»

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  • Wavelet estimation of pulse rate variability from oscillometric blood pressure measurements

    Publication Year: 2009 , Page(s): 37 - 40
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (707 KB) |  | HTML iconHTML  

    We propose a wavelet-based spectral density estimation method for characterizing pulse rate variability of short duration oscillometric blood pressure signals produced by a digital blood pressure monitor during routine measurements. To validate our wavelet metric we compare its performance with other techniques by studying correlations of pulse rate variability with age and mean arterial pressure. Our results indicate that the proposed wavelet metric offers a superior and accurate characterization of variability of short duration oscillometric blood pressure signals. View full abstract»

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  • A numerical hand model for a virtual glove rehabilitation system

    Publication Year: 2009 , Page(s): 41 - 44
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (767 KB) |  | HTML iconHTML  

    Hand rehabilitation, following stroke or hand surgery, is a repetitive and long duration therapy that can be facilitated with the assistance of gloves based on sensors. These devices can be substituted by a simple and inexpensive system based on the images acquired by 4 cameras and numerical analysis. In this paper we present a numerical hand model used in this system which describes the kinematic of the hand. Preliminary experimental data to test the proposed model have also been reported. View full abstract»

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  • A hand-arm vibration meter monitoring the percussion exposure for health risk prevention applications

    Publication Year: 2009 , Page(s): 45 - 50
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2331 KB) |  | HTML iconHTML  

    In the paper a vibration meter estimating the hand-arm exposure of worker using percussion machines is proposed. The device is able to check the safety requirements and the health risk during the machine use. A recurrent exposure to high vibration levels may be cause of pathologies affecting vascular and neurological systems. With the passing of time syndromes to hand-arm bones and muscles may occur. By means of national and international regulations, maximum exposure levels to vibration are fixed so to prevent possible health risks. The projected vibration meter is equipped with three orthogonal transducers sensing the acceleration transmitted to the hand-arm system. A DSP unit processes data so to estimate the daily worker exposure to vibration according to the guidelines of the Standard ISO 5349. A memory device has the task to identify the user and to store data and information about the worker's vibration absorption. An acoustic alarm and a warning message on device display alert the worker when the ISO safety limits are exceeded. In this circumstance the worker has to stop the use of the machine. The projected system represents a tool able to assure the safety conditions during the percussion machines use. It assists the worker in order to avoid absorption of high levels of vibration according to the regulations. Trace on the vibration exposure history of the worker is kept by means of a Web page. View full abstract»

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  • A novel portable device for pathological voice analysis

    Publication Year: 2009 , Page(s): 51 - 54
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (954 KB) |  | HTML iconHTML  

    This paper presents a novel implementation of a DSP based acquisition and elaboration system for vocal signals. The proposed system performs real time spectro-acustic analysis of acquired voice samples and gives a visual feedback to patients alerting them about the eventual presence of anomalies. The prototype will be used for rehabilitation purpose (after medical treatment or surgery) or prevention purpose (early diseases detection). View full abstract»

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  • A basic study of ultrasonic shear wave elastography in tissue-mimicking phantoms

    Publication Year: 2009 , Page(s): 55 - 59
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1412 KB) |  | HTML iconHTML  

    Since many diseases cause changes in the mechanical properties of soft tissues, it is of interest to image their elasticity. Detection of tumors in early stages is challenging but paramount for the proper treatment of patients and thus to reduce the mortality rate. Elasticity imaging (elastography) has great potential to improve tumor diagnosis and is being developed and tested by several research groups with ultrasound and magnetic resonance imaging (MRI). As opposed to MRI, medical ultrasound is widely available, much more cost-effective and most of all a real-time imaging modality. In this paper we evaluate ultrasonic shear wave elastography, a dynamic approach to determine soft tissue properties. Our feasibility study using tissue-mimicking phantoms demonstrates that low frequency shear wave oscillation amplitudes in the micrometer range can be measured using commercial ultrasound scanners in combination with a particular signal processing method. Stiff tissue regions (tumors) show smaller shear wave amplitudes than the surrounding normal tissue. Not only can the examination time be reduced from about 10-20 minutes (MRI) to a few seconds, it may also soon be possible to detect certain cardiovascular dysfunctions in real-time using ultrasonic shear wave elastography. View full abstract»

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  • Implementation of ECG signal processing and analysis techniques in digital signal processor based system

    Publication Year: 2009 , Page(s): 60 - 63
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (703 KB) |  | HTML iconHTML  

    This work describes the implementation of wavelet-based de noising algorithm on electrocardiogram (ECG) signal and detection of important parameter such as heart rate, amplitude, timings of the ECG, etc. The algorithm is implemented in DSP (TI TMS320C67times) based starter kit (DSK) with a two-electrode ECG preamplifier. The signal from the ECG preamplifier is acquired through the Codec input of the DSP starter kit. The acquired data is subjected to signal processing techniques such as removal of power line frequencies and high frequency component removal using wavelet-denoising technique. ECG component analysis such as QRS peak detection, heart rate calculation, etc is performed using nonlinear filter technique called first order derivative and moving average filter. The performance of the algorithm (such as speed, calculation efficiency, accuracy, etc) is studied in the DSP environment as well as MATLAB environment for comparison. The results of this study reveal the potentiality of the DSP system for routine clinical use. View full abstract»

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  • Microtuators of SMA for Braille display system

    Publication Year: 2009 , Page(s): 64 - 68
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (853 KB) |  | HTML iconHTML  

    This paper presents a new configuration of microactuator based on the shape memory alloys (SMA) NiTi (Nickel-Titanium), that it can be applied in touch interfaces high resolution. The essentials criterions for the project of a tactile display and factors as time of reply and force mechanics on the Braille display surface had been satisfied. The time was 1s for the displacement of the pin Braille of the order of 0.7 mm, from a current level around 350 mA, and the force for the microactuator was superior 120 mN. View full abstract»

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  • Temperature and humidity measurements in nasal cavity

    Publication Year: 2009 , Page(s): 69 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (858 KB) |  | HTML iconHTML  

    This work presents a method for making temperature and humidity measurements within the nasal cavity. First, the need for obtaining such measurements and the necessity of implementing such a practical set up is pointed out. Then, a measuring scheme is presented with focused characteristics like accuracy, and fast response to the quantities being monitored. View full abstract»

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  • Practical calibation for upper extremety patients in haptic rehabilitation

    Publication Year: 2009 , Page(s): 73 - 78
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (689 KB) |  | HTML iconHTML  

    As haptic devices become more affordable and economical, research in Haptic-based virtual rehabilitation systems is gaining more interest. A prototype haptic virtual rehabilitation system was developed in our lab using the CyberGrasp system with the goal of assisting patients who suffered from stroke leading to temporary upper extremity disability. However, calibration of the system for each user is currently tedious and time-consuming. In this paper, we propose a practical method to calibrate the CyberGlove using a Neural Network. The neural network is trained with the hand segment size and the manually collected calibrated data of 12 subjects. The hand segment sizes are extracted from a 2-D hand image. The preliminary results are very encouraging and show its effectiveness for the sensors on the index, the middle, the ring, the pinky fingers. View full abstract»

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  • Objetive assessment of olfactory function using functional magnetic resonance (fMRI)

    Publication Year: 2009 , Page(s): 79 - 82
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1234 KB) |  | HTML iconHTML  

    In this work, a device for generating automated olfactory stimuli in functional magnetic resonance imaging (fMRI) studies is described. The novel issues of our design are: synchronization between the acquisition and the olfactory task, automated control of experimental parameters (odorants sequences, frequency, time and concentration of stimuli). Finally, we present the preliminary results obtained on a General Electric 3 Tesla MRI scanner belong to The Alzheimer Project of the Fundacion Reina Sofia. View full abstract»

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  • Unobstrusive heart rate and respiratory rate monitor embedded on a wheelchair

    Publication Year: 2009 , Page(s): 83 - 88
    Cited by:  Papers (12)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (800 KB) |  | HTML iconHTML  

    A biomedical system embedded on a wheelchair able to measure heart rate, respiratory rate, and the wheelchair motion state is presented. A wireless multi-channel acquisition module is connected to a BCG (ballistocardiography) unit and to an inertial 3-axial MEMS accelerometer based unit. The sensing units are embedded on the seat and backrest of the wheelchair and the acquired data is transmitted through Wi-Fi connection to a remote processing unit expressed by a laptop PC. Considering the different motion situations of the wheelchair when utilized by the user, an important part of the work was focused on BCG noise and artifacts removal as well as to heart rate and respiratory rate accurate estimation from BCG signal using wavelet based filtering and ICA (Independent Component Analysis) algorithms. Experimental results for different scenarios of wheelchair utilization are included in the paper. View full abstract»

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  • Evaluating the post-stroke patients progress using an Augmented Reality Rehabilitation system

    Publication Year: 2009 , Page(s): 89 - 94
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1426 KB) |  | HTML iconHTML  

    A stroke has been considered one of the leading causes of death in the world. Survivors suffer from major or minor disabilities in their motor functions so that they are unable to carry on their daily activities, therefore, they go through a rehabilitation process to recover their motor abilities up to a certain point. Recently, the fields of virtual reality and haptic have been investigated for use in rehabilitation. In this paper, we propose a novel approach based on Augmented Reality (AR) technology with two main goals as driving forces: First, the system enhances the patient involvement in the rehabilitation exercise, and second, the system measures the patient performance without the direct supervision of a therapist. We called this system AR-REHAB, for Augmented Reality REHABilitation. In addition, the system is empowered with an intelligent decision support engine to assess the patients' progress to help therapists fine-tune the exercises based on the patient's progress. View full abstract»

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