ITBM-RBM最新文献

Diabetes is a disorder of metabolism—the way our bodies use digested food for growth and energy. The most common form of diabetes is type 2 diabetes. Abnormal plantar pressures are considered to play a major role in the pathologies of neuropathic ulcers in the diabetic foot. The purpose of this study was to examine the plantar pressure distribution in normal, diabetic type 2 with and without neuropathy subjects. Footscans were obtained using the F-Scan (Tekscan USA) in-shoe pressure measurement system. Various pedobarographic parameters such as the total plantar force, total contact area, peak pressures, percentage medial impulse (PMI), load and power ratio (PR, the ratio of high frequency power to the total power in an image) were evaluated. These parameters were subjected to ANOVA (analysis of variance) test with more than 95% confidence interval giving excellent P-values in all the categories.

The telemedicine and medical remote monitoring in particular, today represents an effective solution to the health professional shortcomings facing to the increasing older population. In addition to the comfort of being at home, this system decreases the cost of long hospitalization. The proposed system achieves the home medical telesurveillance by means of microphones and medical sensors to detect a distress situation. This system is designed for elderly people at home or for the patient with chronic illness. The experimental apartment is equipped with medical sensors (tensiometer, oxymeter, balance, etc.), infrared position sensors, and acoustic sensors (1 microphone/room). The originality of the system comes from the replacement of the video surveillance with a sound surveillance. The sound analysis system is divided in two stages: firstly, the detection/extraction of the sounds is operated and secondly, a classification of these sounds in known classes takes place. A wavelet-based algorithm with good performance when applied in noisy environments is proposed. The acoustical classification step uses a Gaussian Mixture Models to classify the sounds according to the 7 predefined classes. The detection algorithm allows an equal error rate of 0% for the signal to noise ratio superior or equal to 10 dB and 4% for the 0 dB. The proposed system coupled with a classical medical telesurveillance system will bring extra information needed for the reliability of the global system.

Practice of Point of Care Testing in medical care centre is very unequal in France despite official guidelines of governmental agencies and laboratory professionals. Last years, a lot of advances in devices technology have been performed particularly in term of connectivity, quality control and traceability with apparition of new global solutions. These possibilities open new perspectives in point of care testing organization in France. We suggest an overall view with the introduction of a coordinator of all point of care testing to coordinate the different actors at every step of the project, from decision to installation of the chosen solutions.

In this paper a mathematical model for blood glucose regulation is developed using compartmental techniques and simulated in windows programming using OWL. The modeling and simulation of the endocrine control system gives the following results: (a) liver failures, (b) pancreas failure and (c) kidney failure. It also helps in the diagnosis of diseases like juvenile diabetes, hypoglycemia and hyperglycemia. It is also programmed to deliver insulin level to the blood upon hyperglycemia. The simulated results are found to justify the pathological behavior.

Lower limb amputee gait evaluation is allowed by kinematic and ground reaction force analysis. Motion capture is a non invasive means of gait evaluation. A protocol taking account of the foot and lower limb joints has been proposed. Thirty-five subjects participated in this study. Stride parameters and spatiotemporal parameters were recorded in a database. Correlations were established between the metatarsophalangeal joint, the walking speed and the propulsive forces. These correlations underline the functional significance of feet in the propulsion phase. This study aims at comparative analysis between lower limb amputees and sound people and at prosthetic feet evaluation.

Scolioses are pathologies changing the three-dimensional shape of spines. Numerous biomechanical studies reconstructed spines, from photogrammetric radiography. Each vertebra is represented by several landmarks, of which frontal and sagittal projections are recorded on the digitised film. These reconstructions, involving a great number of points, are accurate, but are time consuming. They describe evolving pathologies but the technique requires a specific radiographic protocol. A new approach has been studied in order to decrease time needed recording and treating data and delivering accurately parameters used clinically. It is applied to frontal deformations due to scoliosis. One numerical radiographic image is only needed. Three-dimensional spine is considered as a continuous beam of which frontal projection is bounded by two continuous curves. A small number of points, from 6 to 9, are recorded representing bounds. A continuous curve (B-spline) is constrained to pass through the recorded landmarks. Interactive software allows experimenter to adapt the global continuous bounding curve to the real projection by acting on local records. A mean curve representing the beam frontal projection is drawn. This mean curve is segmented in regions showing homogeneous concavities. Parameters describing the shape and angular tilting of each region are proposed for clinical applications. Vertebral bodies are located along the mean spinal curve. Analogous techniques are applied estimating axial rotation of vertebrae about the mean line of spine. The new approach is displayed using radiographic files of scoliotic patients. The new technique will be extended to the sagittal view with the goal of three-dimensional reconstructions.

Epileptic seizures are difficult to detect and classify using electroencephalogram (EEG) due to superimposed muscle artifacts. The objective of this study is to determine features that could differentiate the abnormal EEG activity due to epileptic seizure from a normal background activity. A study group of 20 subjects suffering from a commonly occurring primary epileptic seizure, generalized tonic clonic seizure (GTCS) was compared with a control group of 20 subjects without GTCS. Independent component analysis (ICA) was used to extract independent signals from inter ictal EEG signals. Fast Fourier transform was applied to the independent components and the features were extracted. Wilcoxon rank sum test was performed to find the spectral features that could classify abnormal activity from normal activity. Mean, median, fifth percentile and power in range 2.5–4.5 Hz with P< 0.001 were the features that could differentiate abnormal activity from normal activity. Coefficient of variation, median absolute deviation, 95th percentiles were not able to differentiate normal from abnormal activity.