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The impact of microprocessors on medical instrumentation is explored, with particular reference to their role within a health care system that has finite resources. The authors present two examples of microprocessor use from their own experience and attempt to highlight both the merits and the disadvantages of the use of such technology by the hospital medical engineer.
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The collector is an adaptive algorithm for pattern recognition. It proposes new in-line fully-automatic technique to learn and recognize effective patterns of input data stream. Evoked potentials (EP) were recorded by ADDA 100 KHz, 4 channels, and described by 200 points per each EP. The collector recognized different studies of conditioned response (CR) by patterns of EPs in amygdalar central nucleus. In dogs with implanted into the limbic structures concentric electrodes an instrumental CR was elaborated to electrical stimulation of the dorsal hippocampus. Generalization or transfer of this CR was tested by means of electrostimulation of amygdalar basal nucleus. The generalization in the first experiment took place approximately in 86% of cases, in the second one in 52% of cases. In the first experiment the amplitudes of initial negativity and of late positive waves were smaller than those in the second one and in the experiments before conditioning.
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This study was done at the ENT Department of the Ege University Medical Faculty on twenty trainee singers. Using the two-channel signal processing method, the electroglottographic (EGG) signals and the voice signals were digitized with an analog-digital converting card during an ascending and descending glissando exercised by the trainee singer. These signals were recorded on the computer's hard disk and the obtained data was analysed. It has been determined that the EGG signals were more irregular the singing formant of the voice signal was very weak or absent and the change of register was more significant in less trained singers. This method can be used to evaluate objectively the change of voice registers in the training of the singers and be easily performed by adding an analog-digital converting card to a PC computer, without the need of expensive modern devices.
The maximum length sequence (MLS) technique is applied to improve data collection of a clinically important long latency visual potential. Given a limited time for measuring the response and with low number of stimulus presentation, the MLS technique exceeded the conventional method of ensemble averaging in attaining a higher signal-to-noise ratio (SNR). The theoretical consideration of such improvement is developed along with the system implementation. Typical examples of the results obtained in a human subject are presented.
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A microprocessor-based device has been designed to control oxygen saturation (SaO2) in neonates by adjusting the inspired air-oxygen mixture (FiO2) delivered by a mechanical blender. The user sets a target SaO2, which the controller attempts to maintain. Alarms are actuated if the neonate's SaO2 is outside predefined limits. SaO2 levels are extracted from a commercial pulse oximeter and analyzed by an eight-bit microprocessing unit (MPU). Delivered percentages of FiO2 are adjusted by a motorized air-oxygen blender. The controller has a menu-driven user interface and can graphically present four-hour trends of the SaO2, FiO2, or blender setting. Sixteen hours of collected data can be stored and later downloaded to a personal computer. A real-time multitasking operating system forms the nucleus of the controller's software. Major tasks that share MPU time are control, filtering, user display, data collection, data archiving, alarm monitoring, and user input. Analog SaO2 levels are read and converted to digital values, which are then filtered to extract noise. A differential control algorithm is used to determine the required FiO2 blender setting. The blender is then adjusted to the new setting, after which the controller waits to repeat the process of sampling SaO2 and adjusting FiO2. System response time and blender increments are adjustable to allow a user to tune the controller to the patient's needs. Alarm conditions of concern within the device are SaO2 and FiO2 sensor disconnection, blender disconnection, and SaO2 limiting errors. In preliminary trials, for a target of 92.0% SaO2, a prototype controller maintained an average of 91.6% with a standard deviation of 5.0% over a one-hour period.(ABSTRACT TRUNCATED AT 250 WORDS)
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Computerized axial tomography is a new method of tissue examination with x-rays whereby a picture can be produced which is a representation of a slice of the skull. This is done by irradiating the skull from 180 or 225 incremental angles and measuring the absorption at each of these angles. Then with the aid of a computer a tomogram is produced which can be displayed on a screen. These tomograms are representations of a cross-section of the skull composed of 160 X 160 points showing the various intracranial structures with great detail. The present study demonstrates the diagnostic possibilities of the high definition matrix with reference to brain disorders in a large sample of patients for the first time. Some tumours are shown as areas of decreased absorption compared with normal brain tissue. Others, however, have been found to have higher absorption values. With glioblastomas very contrasting pictures are produced with coexistng areas of decreased, increased and similar values to brain tissue. The most important finding is the visualization of brain oedema which appears as a low density area. A grading system of brain oedemas is proposed. The brain oedema associated with tumours has been found to propagate mainly in the white matter producing finger-like shapes. Out of 209 intracranial tumours 203 were recognized in the plain scan, a further five after contrast enhancement. In patients who have suffered from a stroke the differentiation between haemorrhage and infarction is made simple due to the contrasting appearance between the two types of lesion. Location, size and propagation direction of a haematoma as well as rupture of a haemorrhage into the ventricular system can be defined exactly. With brain infarction the hypoxically damaged tissue is well delineated and readily attributable to a given vascular area. In head injuries, for the first time it is possible to differentiate brain contusion with oedema from intracerebral haematoma. Coup and contre-coup are demonstrated. All types of acute intracranial haematomas may be diagnosed easily. With chronic subdural haematomas the new method fails if the contents of the haematoma shows the same absorption values as brain tissue. Late sequelae of head trauma such as contusion defects and necrosis of tissue after oedema can be seen in the tomogram. With infantile hydrocephalus, subdural effusions and malformations of the brain, computerized axial tomography offers a complete diagnosis so that other invasive, neuroradiological investigations may be avoided. Orbital tumors are picked out with great clarity. The high definition matrix allows the demonstration of the optic nerve, the lense and the suspension of the eyeball. Without doubt in the coming years computerized axial tomography will play a dominant role in the diagnosis of brain disorders.
A small-size and low-cost microcomputer using an Intel 8080 micro-processer is employed to provide real-time data collection and reduction of a three-channel electronic-readout thrombelastograph (TEG). Computed values of significant clotting parameters are obtained instantly allowing for rapid analysis and monitoring of many patients. Computer hardware was designed to optimize signal sampling rates, processing time and storage.
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The present paper is concerned with problems of automatic analysis of radiograms, specially cinegastrographies. This study is connected with the utilisation of an interactive system including optical digitizer with its units of control and visualization. This system can explore the radiologic film in its current size of 30 X 40 cm. The particular interest of this application is extracting several parameters characterizing the size and the shape of the stomach. A middle axis can be extracted by computing, from this one a spatio-temporal diagram can be obtained. From this methodology of representation, several states of gastric motility could be characterized.
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Imitators of physiological signals are in need for production of electronic medical equipment and modeling the biological systems. The known imitators are rather intricate and incapable to control the output signal within a wide range. The imitator now offered allows to reproduce any signal that reflects the activity of a cardiovascular system under normal and pathologic conditions.