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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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Performance of a head-movement interface for wheelchair control
Tập 2 - Trang 1590-1593 Vol.2
P.B. Taylor, H.T. Nguyen
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...... hiện toàn bộ
#Wheelchairs #Artificial neural networks #Head #Switches #Control systems #Prototypes #Neural networks #Electrooculography #Neurofeedback #Accelerometers
New insights into the relationship between Poincare plot geometry and linear measures of heart rate variability
Tập 1 - Trang 526-529 vol.1
M. Brennan, M. Palaniswami, P. Kamen
The Poincare plot is an emerging Heart Rate Variability (HRV) analysis technique, the geometry of which has been shown to distinguish between healthy and unhealthy subjects in clinical settings. The Poincare plot is able to display nonlinear aspects of the interval sequence and is therefore of interest in characterizing the nonlinear aspects of HRV. The problem is, how do we quantitatively charact...... hiện toàn bộ
#Geometry #Heart rate #Heart rate variability #Measurement standards #Autocorrelation #Ear #Electric variables measurement #Cardiology #Hospitals #Displays
A novel fuzzy neural network estimator for predicting hypoglycaemia in insulin-induced subjects
Tập 2 - Trang 1657-1660 vol.2
N. Ghevondian, H.T. Nguyen, S. Colagiuri
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...... hiện toàn bộ
#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
G. Hastings, N. Ghevondian, Hung Nguyen
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...... hiện toàn bộ
#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
M.E. Cohen, D.L. Hudson
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...... hiện toàn bộ
#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
B. Vanrumste, G. Van Hoey, R. Van de Walle, P. Van Hese, M. D'Have, P. Boon, I. Lemahieu
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...... hiện toàn bộ
#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
A. Martinez-Coll, C. Papacosta, H. Nguyen
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...... hiện toàn bộ
#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
A. Martinez-Coll, H.T. Nguyen
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...... hiện toàn bộ
#Infrared spectra #Neural networks #Artificial neural networks #Blood flow #Instruments #Equations #Regression analysis #Biochemistry #Ischemic pain #Optical attenuators
Detection of stellates and masses in digitised mammograms
Tập 3 - Trang 2709-2711 vol.3
H.T. Nguyen, W.T. Hung, B.S. Thornton, W. Lee, A. Rickard, M.W. Berry
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...... hiện toàn bộ
#Breast cancer #Cancer detection #Australia #Costs #Tumors #Lesions #Shape #Brightness #Image segmentation #Hospitals
Robust computer-assisted laser treatment using real-time retinal tracking
Tập 3 - Trang 2499-2502 vol.3
N.H. Solouma, A.-B.M. Youssef, Y.A. Badr, Y.M. Kadah
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...... hiện toàn bộ
#Robustness #Retina #Image segmentation #Cameras #Computer interfaces #Real time systems #Blood vessels #Biomedical imaging #Filters #Tracking