Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Pattern Recognition, Automated”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 37 records · Page 2Linked to original sources
PubMed1993

Pattern recognition for automated DNA sequencing: I. On-line signal conditioning and feature extraction for basecalling.

The massive scale of DNA sequencing for the Human Genome Initiative compels efforts to reduce the cost and increase the throughput of DNA sequencing technology. Contemporary automated DNA sequencing systems do not yet meet estimated performance requirements for cost-effective and timely completion of this project. Greater accuracy of basecalling software would minimize manual review and editing of basecalling results, and facilitate assembly of primary sequences to large contig(uous) arrays. In this report we describe a neural network model for photometric signal conditioning during raw data acquisition with an automated DNA sequencer. This network supports on-line extraction and evaluation of informative arrays of oligomer separations and yields, as a feature table for accurate, real-time basecalling.

Automation↗
PubMed1978

Computerised measures of electro-oculographic activity during sleep.

Since electro-oculographic (EOG) activity during human sleep appears to be of medical diagnostic and prognostic value, the vast amount of EOG data representative of even a single night's sleep warrants the development of automated pattern recognition and information extraction techniques. Such a technique for the analysis of sleep EOG rapid eye movement (REM) is presented in which the time of occurrence, area, height, duration and binocular symphrony for each REM are measured. This automated technique for sleep EOG analysis is currently used in the investigation of periodicities and values of REM parameters for normal subjects and in the differential diagnosis of affective disorders.

Affective Symptoms↗
PubMed1977

[A new image-processing system designed for densitometry and pattern analysis of microscopic specimen. Application to the automated recognition and counting of cells in the various phases of the mitotic cycle (author's transl)].

A new image analysing system, designed for microphotometric measurement and pattern recognition has been applied in the discrimination of cells from the various phases of the mitotic cycle. The data acquisition procedure is controlled by a programmable electronic unit and involves the combination of the shifting of the microscope moving stages and the scanning of the successive fields by a mechanical device. The data processing is achieved by a computer. The preliminary results we obtained have shown that such a system allows the automatic recognition and counting of the M, G1, S and G2 cells as also the G0 resting cells. The most useful parameters of the cell proliferation kinetics are thus obtained from a single specimen of a cell population.

Cell Count↗
PubMed1984

Detection of abnormal cells in white cell differentials: comparison of the HEMATRAK automated system with manual methods.

Automated differential systems can rapidly count larger numbers of cells compared with the standard manual procedure. When a fixed number of abnormal cells are interspersed randomly with a large number of normal cells, it can be shown mathematically that counting more cells increases the chances of detecting at least one abnormal cell. To test this hypothesis in a clinical setting, the authors compared 200-cell and 400-cell automated differentials obtained via the HEMATRAK Model 360 system with results of 100-cell differentials performed either manually or automatically for a group of 141 blood smears. Manual 100-cell differentials also were performed in a reference laboratory for comparison. In close agreement with theoretical expectation, both 200-cell and 400-cell differentials detected significantly more abnormal cells than did either the manual or automated 100-cell differential. Results of the latter two were not significantly different. Eighty-seven per cent of the slides that, according to the 100-cell manual differential, were without abnormal cells were found to have such cells on the 400-cell automated differential. Atypical lymphocytes and nucleated red blood cells were the abnormal cells most frequently identified.

Automation↗
PubMed1995

Speech technology in 2001: new research directions.

Research in speech recognition and synthesis over the past several decades has brought speech technology to a point where it is being used in "real-world" applications. However, despite the progress, the perception remains that the current technology is not flexible enough to allow easy voice communication with machines. The focus of speech research is now on producing systems that are accurate and robust but that do not impose unnecessary constraints on the user. This chapter takes a critical look at the shortcomings of the current speech recognition and synthesis algorithms, discusses the technical challenges facing research, and examines the new directions that research in speech recognition and synthesis must take in order to form the basis of new solutions suitable for supporting a wide range of applications.

Automation↗
PubMed1988

Automated classification of periodontal disease using bitewing radiographs.

The feasibility of applying a prototype, computer-based pattern recognition system to the objective classification of periodontal disease using dental radiographs was tested. Twenty-nine observer-classified bitewing radiographs, representing seven individuals with varying grades of periodontal disease, were selected. The radiographs were digitized using a computer-controlled TV camera. Mathematical features of these radiographs were interactively extracted using a digital image processing system (International Imaging Systems Model 75 and System/575). The features extracted from these radiographs included the brightness levels of cortical and trabecular bone and ratios of bone-loss to linear-crown height. Twenty-eight mathematically defined features (variables) were determined for each radiograph. Stepwise linear discriminant analysis used these features to classify subjects based on the presence and extent of periodontal disease. This pattern recognition system was able to grade periodontal disease in our test series with percentages of correct classifications ranging from 78.8% to 91%. This technology is particularly applicable to the development of morbidity and activity indices for periodontal diseases.

Alveolar Process↗
PubMed1993

Real-time automated computerized detection of venous air emboli in dogs.

OBJECTIVE: My objective was to develop a real-time pattern recognition system to monitor the precordial Doppler and end-tidal CO2 for characteristic changes of venous air emboli. The system also must check the adequacy of the input signals, to allow for unattended operation. The sensitivity of the precordial Doppler monitoring of the resulting system was the focus of this study. METHODS: The computerized system electronically sampled systolic sounds, the amplitude envelope of Doppler pulsations, and, optionally, end-tidal CO2. Features were defined and calculated from the samples, the means and standard deviations of which were also calculated. During real-time test administrations of intravenous air in anesthetized dogs, each new sample was compared with previous statistics and, when parameters changed beyond calculated limits, an alarm was activated. RESULTS: The sensitivity of the on-line system to an intravenous air injection of 0.025 ml/kg was 33%; to 0.05 ml/kg, 73%; to 0.1 ml/kg, 90%; and to 0.2 ml/kg, 100%. A confounding factor, air lodging in the veins, was detected in the smaller injections; when this was corrected, the sensitivity of the system improved beyond these results. CONCLUSION: An on-line, real-time system, developed for continuous observation of precordial Doppler, has a sensitivity comparable to human observers. This system may improve clinical monitoring particularly in situations where the occurrence of a venous air embolism is not a high probability and, therefore, monitoring is not currently used because of its requirement for human observation. Systems such as the one described may allow many more patients to be monitored for this complication.

Algorithms↗
PubMed1992

Rapid and automated characterisation of seed genotype using Micrograd electrophoresis and pattern-matching software.

New precast microgels are described for use in quickly identifying seed of cereal varieties by determining protein composition within an hour. For example, gliadin proteins are extracted from crushed wheat grain, wheatmeal or flour with ethylene glycol (centrifugation not necessary) and 5 microliters extract is applied to a Micrograd gel (3-15% gel gradient) for ten minutes' electrophoresis at 300 volts in sodium lactate buffer (pH 3.1). Alternatively, precast gels are available for SDS gel electrophoresis for examining a different aspect of grain composition as a means of identification. To further expedite identification, software packages have been developed to match the protein pattern for an unknown sample against those of authentic samples, thus to provide quick and definite identity, based on electrophoretic banding, densitometer scan, HPLC profile, multiple antibody reaction or RFLP pattern (PatMatch program). Furthermore, the program WhatWheat offers advice on the best combination of methods to use for a specific task of identification.

Automation↗