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At least 73 records · Page 4Linked to original sources
PubMed1986

A method for reconstructing patterns of somatosensory cerebral cortical activity.

An interactive graphics package was developed in order to acquire, display, and manipulate images of cerebral cortical autoradiographic data. The primary purpose for development of the system was to reconstruct accurate 2-dimensional maps of the functional activity within the somatosensory cerebral cortex. A Datacube Q-bus graphics module (QVG/QAF-123) was interfaced with the Micro PDP-11/23 to accept a standard RS170 video input signal, and autoradiographs of serial sections (each 20 microns thick) of a cerebral cortex were digitized individually to 768 X 512 X 8 bit resolution. Input look-up tables were used to standardize the autoradiographic data. Boundaries of the somatosensory cortex were entered (with a Summagraphics MM 1201 digitizer), and the image data was stored on disk file (a method of data compression was devised). A method for segmenting the image data for many (sequential) sections was developed that provided arrays from which the maps were generated. Thresholding, histogram equalization, edge detection and edge enhancement, and filters in both the spatial and frequency domains were employed to process the images of the maps. Plots of optical density values along any axis of the maps and gray level histograms of any map region could also be generated. Maps made by the described method are much higher in resolution than those produced by traditional (manual) methods, and permit analysis of the reconstructions in both the frequency and spatial domains.

Animals↗
PubMed1989

Evaluation of a quadtree-based compression algorithm with digitized urograms.

The effect of a quadtree-based data-compression algorithm on the diagnostic yield in digitized radiographs was studied for 100 urograms. Each image was digitized and reviewed at nine decreasing compression ratios ranging from 90:1 to 4.2:1, followed by a review of the uncompressed digital images. Four radiologists independently reviewed the digitized images and the original radiographs and agreed on a reference standard of 201 findings. Sensitivity, measured by the number of findings noted on the compressed digital images, decreased with increasing compression ratios at and above the 11:1 level. No loss of sensitivity was noted with a compression ratio of 4.2:1. Sensitivity decreased more precipitously for calcifications than for soft-tissue masses. Only a minimal loss of sensitivity for bilateral renal function was noted, even with high compression ratios. False-positive rates were unaffected by compression. The authors conclude that quadtree compression ratios of 11:1 and higher may result in loss of sensitivity in clinically relevant findings.

Algorithms↗
PubMed1990

Automated anesthesia surgery medical record system.

Manual recording of physiological data in patients receiving anesthesia or intensive care infrequently meets medical requirements or legal documentation standards. Automated recording allows the generation of reliable data that can be integrated into the patient's medical record. Such a system is beginning to function at University Hospital at Stony Brook, New York. Bedside medical devices (pulse oximeters, non-invasive blood pressure monitors, capnographs, infusion pumps and physiological monitors) from 18 operating rooms and 16 beds in the Anesthesia Intensive Care Unit are connected to a baseband Ethernet system. Data from the above devices are stored in a MicroVAX computer system. Data compression and interpretation, computation of derived values, statistical analysis of data from two related parameters are done by the bedside graphical microcomputer workstation. The MicroVAX computer and the workstation are also connected to the Ethernet system. The overall architecture of the automatic record system conforms to emerging standards for information exchange between bedside monitors and computer systems. Health care recipients and providers are likely to reap the benefits.

Anesthesia↗
PubMedDate not supplied

Real-time distortionless high-factor compression scheme.

Nowadays, digital subtraction angiography systems must be able to sustain real-time acquisition (30 frames per second) of 512 x 512 x 8 bit images and store several sequences of such images on low cost and general-purpose mass memories. Concretely, that means a 7.8 Mbytes per second rate and about 780 Mbytes disk space to hold a 100-s cardiac examination. To fulfill these requirements at competitive cost, a distortionless compressor/decompressor system can be designed: during acquisition, the real-time compressor transforms the input images into a lower quantity of coded information through a predictive coder and a variable-length Huffman code. The process is fully reversible because during review, the real-time decompressor exactly recovers the acquired images from the stored compressed data. Test results on many raw images demonstrate that real-time compression is feasible and takes place with absolutely no loss of information. The designed system indifferently works on 512 or 1024 formats, and 256 or 1024 gray levels.

Angiography, Digital Subtraction↗
PubMed1992

System identification for the ECG using CZT.

A new approach for extraction of clinically useful parameters from the ECG signal is presented using the system identification technique of CZT on the DCT-transformed signal. A one to one relationship between the model singularities and the significant points in the time signal is arrived at. The method allows the determination of R-R interval needed in rhythm analysis. The complex cepstrum is used for identifying and removing the effect of zeros outside the unit circle. A significant data compression of 1 in 10 is achieved. A large number of continuous strips of ECG data are analyzed and the results are presented.

Algorithms↗
PubMed1986

Compression of radiological images with 512, 1,024, and 2,048 matrices.

A comprehensive study was performed using the full-frame bit-allocation compression technique on 78 radiological images, including digitized radiographs, computed radiographs, and computed tomography images. Each radiograph was digitized to 2,048 X 2,048 X 10, 1,024 X 1,024 X 10, and 512 X 512 X 10 matrices, respectively, with a laser scanner. Five compression ratios were used to compress each image, and reconstructed images from each compressed data set were obtained. Altogether, the authors studied 842 images, including the original and compressed-reconstructed images and the images obtained from the difference between the original and the reconstructed images. The results indicate that acceptable compression ratios for 2,048, 1,024, and 512 matrices are 25:1, 20:1, and 10:1, respectively, based on a mean-square error of 0.02%.

Angiography↗
PubMedDate not supplied

Clinical application of electrocardiographic trend recording.

New electronic technology has made trend recording (R-R intervals versus time) feasible on a routine basis outside of acute-care units at nursing stations on regular hospital floors. The physician or nurse is able to monitor the rate and rhythm changes of his patient easily with this form of data compression which minimizes the scanning of reams of ECG paper. The information obtained from such electrocardiographic data results in improved surveillance of arrhythmias and leads to better patient care.

Arrhythmia, Sinus↗
PubMed1992

Wavelet transform as a potential tool for ECG analysis and compression.

The recently introduced wavelet transform is a member of the class of time-frequency representations which include the Gabor short-time Fourier transform and Wigner-Ville distribution. Such techniques are of significance because of their ability to display the spectral content of a signal as time elapses. The value of the wavelet transform as a signal analysis tool has been demonstrated by its successful application to the study of turbulence and processing of speech and music. Since, in common with these subjects, both the time and frequency content of physiological signals are often of interest (the ECG being an obvious example), the wavelet transform represents a particularly relevant means of analysis. Following a brief introduction to the wavelet transform and its implementation, this paper describes a preliminary investigation into its application to the study of both ECG and heart rate variability data. In addition, the wavelet transform can be used to perform multiresolution signal decomposition. Since this process can be considered as a sub-band coding technique, it offers the opportunity for data compression, which can be implemented using efficient pyramidal algorithms. Results of the compression and reconstruction of ECG data are given which suggest that the wavelet transform is well suited to this task.

Electrocardiography↗
PubMed1986

Is diagnostic severity grading for head injuries possible?

The classification of head injured patients is more difficult than that for most other disease processes. The quantum of data to be embedded into each patient's grading code depends on the purpose to which that grading is used. If the information is merely required for broad epidemiological surveys, it may be confined to a double rubric which represents the most significant diagnostic component and an arbitrary index of associated severity. For this purpose, diagnostic severity grading is possible provided the task is delegated to experienced members of the neurosurgical team. If the grading is to be used in attempts to compare one patient group with another or for predictions of complications or outcome, a more detailed data-set is required. This may be accomplished with the use of multiple ICD diagnostic codes but assignations of severity to each diagnostic component requires very subjective judgement. Such an approach is unlikely to be successful and the only alternative is to define a data-set of "pure" information which includes all the relevant clinical, radiological, and operative findings without resorting to artificial data compression by using potentially misinterpretable deduced codes.

Craniocerebral Trauma↗
PubMed1978

Particle slippage and rearrangement during compression of pharmaceutical powders.

Compression data from different size fractions of lactose, chloroquine diphosphate, stearic acid and calcium carbonate have been analysed using the Walker and the Heckel compression equations. Points of inflection in graphs of log applied pressure vs the reciprocal of the packing fraction at low pressures corresponded closely to figures for theoretical packing conditions for equisized spheres and are attributed to a change in the stage of compression. The degree of particle slippage and rearrangement taking place during compression has been shown to increase as the particle size of the powder decreases and to be more extensive for powders composed of non-spherical particles. In addition, three types of compression behaviour have been distinguished for the four powders studied.

Calcium Carbonate↗
PubMed1991

A triphasic theory for the swelling and deformation behaviors of articular cartilage.

Swelling of articular cartilage depends on its fixed charge density and distribution, the stiffness of its collagen-proteoglycan matrix, and the ion concentrations in the interstitium. A theory for a tertiary mixture has been developed, including the two fluid-solid phases (biphasic), and an ion phase, representing cation and anion of a single salt, to describe the deformation and stress fields for cartilage under chemical and/or mechanical loads. This triphasic theory combines the physico-chemical theory for ionic and polyionic (proteoglycan) solutions with the biphasic theory for cartilage. The present model assumes the fixed charge groups to remain unchanged, and that the counter-ions are the cations of a single-salt of the bathing solution. The momentum equation for the neutral salt and for the intersitial water are expressed in terms of their chemical potentials whose gradients are the driving forces for their movements. These chemical potentials depend on fluid pressure p, salt concentration c, solid matrix dilatation e and fixed charge density cF. For a uni-uni valent salt such as NaCl, they are given by mu i = mu io + (RT/Mi)ln[gamma 2 +/- c(c + cF)] and mu w = mu wo + [p-RT phi (2c + cF) + Bwe]/pwT, where R, T, Mi, gamma +/-, phi, pwT and Bw are universal gas constant, absolute temperature, molecular weight, mean activity coefficient of salt, osmotic coefficient, true density of water, and a coupling material coefficient, respectively. For infinitesimal strains and material isotropy, the stress-strain relationship for the total mixture stress is sigma = - pI-TcI + lambda s(trE)I + 2 musE, where E is the strain tensor and (lambda s, mu s) are the Lamé constants of the elastic solid matrix. The chemical-expansion stress (-Tc) derives from the charge-to-charge repulsive forces within the solid matrix. This theory can be applied to both equilibrium and non-equilibrium problems. For equilibrium free swelling problems, the theory yields the well known Donnan equilibrium ion distribution and osmotic pressure equations, along with an analytical expression for the "pre-stress" in the solid matrix. For the confined-compression swelling problem, it predicts that the applied compressive stress is shared by three load support mechanisms: 1) the Donnan osmotic pressure; 2) the chemical-expansion stress; and 3) the solid matrix elastic stress. Numerical calculations have been made, based on a set of equilibrium free-swelling and confined-compression data, to assess the relative contribution of each mechanism to load support. Our results show that all three mechanisms are important in determining the overall compressive stiffness of cartilage.

Biomechanical Phenomena↗
PubMed2026

Non-destructive prediction of lead content in oilseed rape leaves by fluorescence hyperspectral technology based on neural network.

Based on fluorescence hyperspectral imaging (FHSI), this study targeted rapid, non-destructive quantification of lead (Pb) content in oilseed rape leaves treated with varying silicon (Si) concentrations, acquiring fluorescence spectra over the 484.43-1001.61 nm wavelength range. To optimize spectral data quality, preprocessing methods (Savitzky-Golay smoothing, first derivative, detrending) were comprehensively compared. Characteristic wavelengths were then selected via interval variable iterative shrinkage, which effectively compressed data dimensionality and reduced computational load. A hybrid SE-CL1DA model, fusing a 1D convolutional neural network, a long short-term memory network and SE attention mechanism was constructed, with Bayesian optimization tuning hyperparameters to boost stability. The BO-SE-CL1DA outperformed both traditional machine learning and insufficiently optimized deep learning model (Rp2=0.9609, RMSE = 0.0377 mg/kg, RPD = 5.1736), thus enabling accurate Pb estimation, supporting Si-regulated heavy metal stress management and facilitating agricultural contamination monitoring.

Plant Leaves↗
PubMed1983

Compressional characteristics of four starches.

Compression data about barley, corn, potato and wheat starches were obtained by two methods: the ejected tablet method and the tablet-in-die-method. These data were analysed using the Heckel and the Cooper-Eaton equations. The Heckel equation appeared to be the more sensitive in distinguishing the various stages during the compression. Die filling and rearrangement processes for the starches were especially dependent on particle size and shape and thus on contact area between particles. Densification of large starch particles (potato starch) owed more to die filling and less to rearrangement. Densification of small particles (corn starch) was the reverse. Starch having a wide particle size distribution (wheat) or an irregular particle shape (barley) underwent a relatively small amount of densification as a result of die filling and a relatively great amount of densification because of rearrangement of particles during tableting. The tendency of the starches to total and pure plastic deformation was dependent on particle size, size distribution and particle shape. Corn starch was the most prone to plastic flow with only little elastic recovery. Potato starch also flowed plastically with ease. Barley and wheat starches were the more elastic.

Drug Compounding↗
PubMed1986

Teleradiology.

Teleradiology refers to the transmission of radiographic images from one location to another. Most of the work to date has involved scanning of conventional radiographs at clinics and other medical facilities with no full-time radiologist and transmitting the images to a medical center or hospital, where they are viewed on a television monitor and interpreted by a diagnostic radiologist. In this article, the author describes the 1982 and 1984 Teleradiology Field Trials, the objectives of which were (1) to compare the quality of film and video images in the field, which involved determination of sensitivity, specificity, and overall accuracy under both sets of viewing conditions; (2) to evaluate the reliability, maintenance, and communication functions of the teleradiology system; (3) to determine the costs involved in developing such a system and for day-to-day operation; and (4) to formulate recommendations for hardware, software, communication protocols, operating procedures, staff qualifications, and training requirements for future systems. Today, commercially available systems include high-speed digitization of radiographs, data compression, local storage, automatic transmission, selective retrieval, image enhancement, and interfacing with conventional computer systems.

Computers↗
PubMed1977

[Analysis of gamma-ray spectra by using fast Fourier transform (author's transl)].

In order to simplify the mass data processing in a response matrix method for gamma-ray spectral analysis, a method using a Fast Fourier Transform devised. The validity of the method was confirmed by a computer simulation for spectra of a NaI detector. The method uses the fact that spectral data can be represented by Fourier series with reduced number of terms. The estimation of intensities of gamma-ray components is performed by a matrix operation using the compressed data of an observation spectrum and standard spectra in Fourier coefficients. The identification of gamma-ray energies is also easy. Several features in the method and a general problem to be solved in a response matrix method are described.

Fourier Analysis↗
PubMed1991

Effect of moisture content on compression properties of two dextrose-based directly compressible diluents.

Moisture sorption characteristics and the effect of moisture content on the compression properties of two dextrose-based directly compressible diluents, namely, Emdex (diluent A) and Sweetrex (diluent B) were studied. Both diluents sorbed moisture rapidly at relative humidities greater than 60%. For both the diluents, pressures required to compress tablets to the same relative density decreased with increasing moisture content. Yield pressures calculated from linear Heckel plots obtained from the compression data of both diluents reflected decreasing values with increasing moisture content. Three-way surface profile graphs of moisture content versus tablet parameters such as crushing force, relative density, and compression pressure give a unique overall picture of the compression properties of a diluent and offer the tablet formulator a useful tool for diluent comparison.

Chemical Phenomena↗
PubMed2025

SKiM: accurately classifying metagenomic ONT reads in limited memory.

MOTIVATION: Oxford Nanopore Technologies' devices, such as MinION, permit affordable, real-time DNA sequencing, and come with targeted sequencing capabilities. Such capabilities create new challenges for metagenomic classifiers that must be computationally efficient yet robust enough to handle potentially erroneous DNA reads, while ideally inspecting only a few hundred bases of a read. Currently available DNA classifiers leave room for improvement with respect to classification accuracy, memory usage, and the ability to operate in targeted sequencing scenarios. RESULTS: We present SKiM: Short K-mers in Metagenomics, a new lightweight metagenomic classifier designed for ONT reads. Compared to state-of-the-art classifiers, SKiM requires only a fraction of memory to run, and can classify DNA reads with higher accuracy after inspecting only their first few hundred bases. To achieve this, SKiM introduces new data compression techniques to maintain a reference database built from short k-mers, and treats classification as a statistical testing problem. AVAILABILITY AND IMPLEMENTATION: SKiM source code, documentation, and test data are available from: https://gitlab.com/SCoRe-Group/skim.

Metagenomics↗
PubMedDate not supplied

Automated electrocardiogram analysis: the state of the art.

The overwhelming number of electrocardiograms (ECGs) now recorded routinely has prompted the development of computer analysis which in turn has benefited electrocardiography with important technological advances. All automated ECG analysis systems adopt a similar approach: a measurement program and a program that interprets the clinical significance of these measurements along with a rhythm analysis algorithm. Measurement, selection and classification of parameters vary according to the program used. Data compression is applied to the signal to reduce processing time and allow long-term storage. Diagnostic accuracy, however, is not greatly improved over that of experienced cardiologists. Programs studied using a validated data bank provided by an international group of cardiologists show a variability not only in parameter measurement but also in diagnostic statement and in the way in which such statements are expressed. Recommendations for measurement standards have been made to fulfil the need for exchange of diagnostic criteria. No recommendations concerning the selection of parameters have been proposed, and so new parameters or combinations of parameters can be introduced with the ultimate aim of increased diagnostic performance.

Diagnosis, Computer-Assisted↗