Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136)
1094-687X
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Ultrasound image denoising via maximum a posteriori estimation of wavelet coefficients
Tập 3 - Trang 2553-2556 vol.3
Speckle noise removal by means of digital image processors could improve the
diagnostic potential of medical ultrasound. This paper addresses the speckle
suppression issue within the framework of wavelet analysis. As a first step of
our approach, the logarithm of the original image is decomposed into several
scales through a multiresolution analysis employing the 2-D wavelet transform.
Then, we de...
#Ultrasonic imaging #Image denoising #Maximum a posteriori estimation #Wavelet coefficients #Speckle #Wavelet analysis #Digital images #Biomedical imaging #Medical diagnostic imaging #Multiresolution analysis
Performance of a head-movement interface for wheelchair control
Tập 2 - Trang 1590-1593 Vol.2
Head movement has been used as a control interface for people with motor
impairments in a range of applications. Chin operated joysticks and switch
arrays have been incorporated in control systems for electric wheelchairs but
have several disadvantages, including being difficult to operate and
aesthetically unattractive. A prototype wheelchair control interface has been
developed that makes use of...
#Wheelchairs #Artificial neural networks #Head #Switches #Control systems #Prototypes #Neural networks #Electrooculography #Neurofeedback #Accelerometers
A novel fuzzy neural network estimator for predicting hypoglycaemia in insulin-induced subjects
Tập 2 - Trang 1657-1660 vol.2
Predicting the onset of hypoglycaemia can avoid major health complications in
Type I insulin-dependent-diabetes-mellitus (IDDM) patients. This paper describes
the design of a novel fuzzy neural network estimator algorithm (FNNE) for
predicting the glycaemia profile and onset of hypoglycaemia in insulin-induced
subjects, by modelling the changes in heart rate and skin impedance parameters.
Hypoglyc...
#Fuzzy neural networks #Heart rate #Skin #Impedance #Testing #Algorithm design and analysis #Prediction algorithms #Predictive models #Insulin #Blood
A self-organising fuzzy estimator for hypoglycaemia monitoring in diabetic patients
Tập 3 - Trang 1371-1374 vol.3
Hypoglycaemia is the most common complication experienced by patients with Type
1 insulin dependent diabetes mellitus (IDDM). During hypoglycaemia,
physiological parameter changes occur in patients, due to the sympathetic
nervous system, of which the most predominant parameters are sweating and heart
rate. Non-invasive monitoring and detecting hypoglycaemia in diabetic patients
requires simultaneo...
#Patient monitoring #Diabetes #Heart rate #Insulin #Biomedical monitoring #Sympathetic nervous system #Heart rate measurement #Heart rate detection #Electroencephalography #Engines
Inclusion of ECG and EEG analysis in neural network models
Tập 2 - Trang 1621-1624 vol.2
Evaluation of biomedical signals is important in the diagnosis of numerous
diseases, chiefly in cardiology through the use of electrocardiograms, and to a
more limited extent, in neurology through the use of electroencephalograms.
While automated techniques exist for both ECG and EEG analysis, it is likely
that additional information can be extracted from these signals through the use
of new metho...
#Electrocardiography #Electroencephalography #Neural networks #Brain modeling #Signal analysis #Biological neural networks #Cardiac disease #Cardiovascular diseases #Cardiology #Nervous system
The realistic versus the spherical head model in EEG dipole source analysis in the presence of noise
Tập 1 - Trang 994-997 vol.1
The performance of the three-shell spherical head model versus the performance
of the realistic head model is investigated when solving the inverse problem
with a single dipole, in the presence of noise. This is evaluated by inspecting
the average dipole location error when applying a spherical and a realistic head
model, for 1000 noisy scalp potentials, originating from the same test dipole
and h...
#Brain modeling #Electroencephalography #Head #Noise level #Electrodes #Scalp #Gaussian noise #Conductors #Epilepsy #Inverse problems
Surface electromyography (sEMG) of the sternocleidomastoid (SCM) muscle for variable control using head movement technology
Tập 2 - Trang 1598-1601 Vol.2
We have explored the feasibility of an alternative strategy using biological
signals such as sEMG of the sternocleidomastoid muscle (SCM) for variable
control of our head movement system. Seven volunteers were instrumented with
bilateral sEMG sensors on the SCM. Basic neck movements of lateral tilts and
graded head rotations were performed. Data were normalized as a percentage of
maximum voluntary...
#Electromyography #Muscles #Electric variables control #Biological control systems #Control systems #Instruments #Biosensors #Neck #Reproducibility of results #Statistical analysis
Comparison of near infrared spectroscopy (NIRS) signal quantitation by multilinear regression and neural networks
Tập 2 - Trang 1625-1628 vol.2
Signal quantitation in most near infrared-spectroscopy (NIRS) instruments is
achieved through solving simultaneous equations or multiple regression analysis.
The aim of this study was to compare NIRS signal quantitation by conventional
multiple regression to artificial neural networks. Sixteen adult sheep were used
in the study of the effects of changes in cerebral blood flow and metabolism
throug...
#Infrared spectra #Neural networks #Artificial neural networks #Blood flow #Instruments #Equations #Regression analysis #Biochemistry #Ischemic pain #Optical attenuators
Robust computer-assisted laser treatment using real-time retinal tracking
Tập 3 - Trang 2499-2502 vol.3
We propose a new computerized system to accurately guide laser shots to the
diseased areas within the retina based on predetermined treatment planning. The
proposed system consists of a fundus camera interfaced to a computer that allows
real-time capturing and processing of a sequence of images at video frame rates.
The first image in the sequence is used as a reference for manual treatment
planni...
#Robustness #Retina #Image segmentation #Cameras #Computer interfaces #Real time systems #Blood vessels #Biomedical imaging #Filters #Tracking
Detection of stellates and masses in digitised mammograms
Tập 3 - Trang 2709-2711 vol.3
If detected early, breast cancer can be treated with better patient outcomes and
significantly lower costs. From recent (1998) retrospective breast cancer
studies, in approximately half of missed cases, a minimal sign was already
visible on a prior mammogram. Using information technology such as spatial
dendrograms (stealth-related technology) and repartment hierarchical
identification (successive...
#Breast cancer #Cancer detection #Australia #Costs #Tumors #Lesions #Shape #Brightness #Image segmentation #Hospitals