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At least 415 records · Page 23Linked to original sources

Cardiac electrophysiological studies: computer analysis using a digitiser and interactive visual display unit.

Recording of localised intracardiac electrical potentials provides useful and important information on conduction disease in man. Analysis of intracardiac recordings involves measurement of large numbers of timing intervals representing the sequence of activation of the various part of the cardiac conduction system. In this paper we describe a semi-automatic computer based analysis system tailored to the specific requirements of cardiac electrophysiological measurement. A digitising tablet is used in conjunction with a visual display oriented data handling package to input data directly to computer memory for sorting and further analysis. Particular attention is paid to providing the user with a system that is simple to learn yet is robust and flexible in use. The computer software is written entirely in the high level FORTRAN language. It is modular in design and is therefore easily adapted for the changing needs of a research oriented department.

Arrhythmias, Cardiac↗

The actor-observer effect in virtual reality presentations.

The use of virtual reality (VR) presentations are becoming a more and more frequent means of communicating information and displaying data to large groups of viewers. VR presentations put heavy demands on reproduction of visual, aural, and tactile information. A common situation in VR presentations is that one actor acts in the virtual environment (VE), while a group of people observes the actors actions in the VE, often from the perspective of the actor. The current paper aims to study actors' (participants actively interacting with the VE) and observers' (participants passively observing the actors' interaction with the VE) evaluations of the VR presentation. In an experiment, 16 actors and 16 observers either acted in or observed a VE and performed ratings of the quality of the presentation. The results showed that actors experienced higher presence and realism, and enjoyed the VR experience more than observers did. Observers, on the other hand, experienced that external events distracted their attention more than actors did. Finally, actors experienced more symptoms of simulation sickness. However, no differences between actors and observers were found for ratings of audio quality.

Adult↗

Uniform integration of genome mapping data using intersection graphs.

MOTIVATION: The methods for analyzing overlap data are distinct from those for analyzing probe data, making integration of the two forms awkward. Conversion of overlap data to probe-like data elements would facilitate comparison and uniform integration of overlap data and probe data using software developed for analysis of STS data. RESULTS: We show that overlap data can be effectively converted to probe-like data elements by extracting maximal sets of mutually overlapping clones. We call these sets virtual probes, since each set determines a site in the genome corresponding to the region which is common among the clones of the set. Finding the virtual probes is equivalent to finding the maximal cliques of a graph. We modify a known maximal-clique algorithm such that it finds all virtual probes in a large dataset within minutes. We illustrate the algorithm by converting fingerprint and Alu-PCR overlap data to virtual probes. The virtual probes are then analyzed using double-linkage intersection graphs and structure graphs to show that methods designed for STS data are also applicable to overlap data represented as virtual probes. Next we show that virtual probes can produce a uniform integration of different kinds of mapping data, in particular STS probe data and fingerprint and Alu-PCR overlap data. The integrated virtual probes produce longer double-linkage contigs than STS probes alone, and in conjunction with structure graphs they facilitate the identification and elimination of anomalies. Thus, the virtual-probe technique provides: (i) a new way to examine overlap data; (ii) a basis on which to compare overlap data and probe data using the same systems and standards; and (iii) a unique and useful way to uniformly integrate overlap data with probe data.

Algorithms↗

Missing value estimation methods for DNA microarrays.

MOTIVATION: Gene expression microarray experiments can generate data sets with multiple missing expression values. Unfortunately, many algorithms for gene expression analysis require a complete matrix of gene array values as input. For example, methods such as hierarchical clustering and K-means clustering are not robust to missing data, and may lose effectiveness even with a few missing values. Methods for imputing missing data are needed, therefore, to minimize the effect of incomplete data sets on analyses, and to increase the range of data sets to which these algorithms can be applied. In this report, we investigate automated methods for estimating missing data. RESULTS: We present a comparative study of several methods for the estimation of missing values in gene microarray data. We implemented and evaluated three methods: a Singular Value Decomposition (SVD) based method (SVDimpute), weighted K-nearest neighbors (KNNimpute), and row average. We evaluated the methods using a variety of parameter settings and over different real data sets, and assessed the robustness of the imputation methods to the amount of missing data over the range of 1--20% missing values. We show that KNNimpute appears to provide a more robust and sensitive method for missing value estimation than SVDimpute, and both SVDimpute and KNNimpute surpass the commonly used row average method (as well as filling missing values with zeros). We report results of the comparative experiments and provide recommendations and tools for accurate estimation of missing microarray data under a variety of conditions.

Algorithms↗

AMADA: analysis of microarray data.

SUMMARY: AMADA is a Windows program for identifying co-expressed genes from microarray data. It performs data transformation, principal component analysis, a variety of cluster analyses and extensive graphic functions for visualizing expression profiles.

Algorithms↗

CGH-Plotter: MATLAB toolbox for CGH-data analysis.

CGH-Plotter is a MATLAB toolbox with a graphical user interface for the analysis of comparative genomic hybridization (CGH) microarray data. CGH-Plotter provides a tool for rapid visualization of CGH-data according to the locations of the genes along the genome. In addition, the CGH-Plotter identifies regions of amplifications and deletions, using k-means clustering and dynamic programming. The application offers a convenient way to analyze CGH-data and can also be applied for the analysis of cDNA microarray expression data. CGH-Plotter toolbox is platform independent and requires MATLAB 6.1 or higher to operate.

Cluster Analysis↗

Facilitators and obstacles to sperm banking in young men receiving gonadotoxic chemotherapy for cancer: the perspective of survivors and health care professionals.

BACKGROUND: Testicular cancer and Hodgkin's disease are among the most common malignancies to affect young men of reproductive age. Although both are associated with high rates of infertility, sperm banking (SB) remains underutilized by both diagnostic groups. Reasons for this remain elusive. METHODS: This study used a qualitative design. In-depth interviews were conducted with 20 cancer survivors and 18 health care professionals (HCPs) to examine their perspectives on factors that facilitate or hinder SB. Interview data were analysed using a mixed approach and a three-step process of data reduction, data display and conclusion drawing and verification. RESULTS: Eight factors were identified as having an impact on SB, and findings suggest that effective promotion of SB involves adequate communication around the severity and personal risk for infertility, assessing the importance of patients place on having children, emphasizing the benefits of SB and addressing possible obstacles such as cost, misperceptions or cultural and other factors. In addition, the communicator should be perceived as appealing. CONCLUSIONS: These results are conceptually consistent with both the Health Belief Model and the Elaboration Likelihood Model of health promotion and are useful in informing HCPs on how to better promote SB.

Adult↗

Modification of Hewlett-Packard Chemstation (G1034C version C.02.00 and G1701AA version C.02.00 and C.03.00) data analysis program for addition of automatic extracted ion chromatographic groups.

A modification to data analysis macros to create "ion groups" and add a menu item to the data analysis menu bar is described. These "ion groups" consist of up to 10 ions for extracted ion chromatographs. The present manuscript describes modifications to yield a drop down menu in data analysis that contains user-defined names of groups (e.g., opiates, barbiturates, benzodiazepines) of ions that, when selected, will automatically perform extracted ion chromatographs with up to 10 ions in that group for the loaded datafile.

Barbiturates↗

Ovarian expression of a disintegrin and metalloproteinase with thrombospondin motifs during ovulation in the gonadotropin-primed immature rat.

Mammalian ovulation is a dynamic process that requires degradation of the collagenous connective tissue in the thecal layers of a mature follicle. In this reverse transcription-polymerase chain reaction differential display study, gonadotropin-primed immature rats were used to detect ovarian expression of a relatively new type of disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS-1) that is known to cleave extracellular matrix in acutely inflamed tissues. Immature Wistar rats were primed with 10 IU eCG s. c., and the temporal pattern of expression of the ADAMTS-1 gene was delineated by extracting ovarian RNA at 0, 2, 4, 8, 12, and 24 h after induction of ovulation by injecting the primed animals with 10 IU hCG s.c. The differential display data, Northern analyses, and in situ hybridization micrographs all showed significant up-regulation of ADAMTS-1 gene expression by 8 h after hCG administration. The in situ data indicated that the ADAMTS-1 mRNA was in the granulosa layer of mature follicles. Expression reached a peak at 12 h and remained elevated at 24 h after hCG. ADAMTS-1 gene expression was impaired by the antiprogesterone agent epostane, but this inhibition could be overcome by exogenous progesterone. ADAMTS-1 expression was not affected when ovulation was blocked by treatment of the animals with the anti-eicosanoid agent indomethacin. In conclusion, the temporal pattern of expression of this gene, and its apparent regulation by progesterone, suggests that ADAMTS-1 has a significant role in the inflammatory events of the ovulatory process.

ADAM Proteins↗

Spiritual needs of patients with cancer and family caregivers.

The purpose of this descriptive, cross-sectional, qualitative study was to describe the spiritual needs experienced in living with cancer from the perspective of patients with cancer and family caregivers. The sample included 28 African American and Euro-American patients with cancer and family caregivers receiving care from inpatient and outpatient units at two metropolitan hospitals in the southwestern United States. In-depth, tape-recorded, semistructured interviews were analyzed using the process of data reduction, data display, and verification. Seven categories of identified spiritual needs included needs associated with relating to an Ultimate Other; the need for positivity, hope, and gratitude; the need to give and receive love; the need to review beliefs, the need to have meaning; and needs related to religiosity and preparation for death. Informants responded with varying levels of awareness of personal spiritual needs. Caregivers were observed to have spiritual needs similar to those of patients. The findings of this study will inform nurses as they assess and document spiritual needs.

Black or African American↗

Statistical aspects of neurophysiologic topography.

The multitude of electrodes and the large number of EEG variables used in neurophysiologic topography call for new inferential statistical concepts in the analysis of data from corresponding studies. These concepts must take into consideration that significance levels and confidence coefficients lose their numerical meaning in situations with many significance tests and/or interval estimates performed on the data from one sample of subjects or patients. The application of one of these concepts. Descriptive Data Analysis (DDA), is discussed, using the data from a real EEG mapping example. Also, the use of DDA is proposed for the judgement of normality of EEG maps.

Brain↗

Graphical analysis of MR feature space for measurement of CSF, gray-matter, and white-matter volumes.

The problem of volume averaging in quantitating CSF, gray-matter, and white-matter fractions in the brain is solved using a three-compartment model and a simple graphical analysis of a multispectral MR feature space. Compartmentalization is achieved without the ambiguities of thresholding techniques or the need to assume that the underlying pixel probability distributions have a particular form. A 2D feature space is formed by double SE (proton density- and T2-weighted) MR data with image nonuniformity removed by a novel technique in which the brain itself serves as a uniformity reference. Compartments other than the basic three were rejected by the tailoring of limits in feature space. Phantom scans substantiate this approach, and the importance of the careful selection and standardization of pure tissue reference signals is demonstrated. Compartmental profiles from standardized subvolumes of three normal brains, based on a 3D (Talairach) coordinate system, demonstrate slice-by-slice detail; longitudinal studies confirm reproducibility. Compartmentalization may be described graphically and algebraically, complementing data displays in feature space and images of compartmentalized brain scans. These studies anticipate the application of our compartmentalization technique to patients with neurological disorders.

Adult↗

Recent developments and future issues in the use of health status assessment measures in clinical settings.

This paper provides a broad overview of the assessment of health status in clinical practice in three parts. Yesterday: The nation has undergone a paradigm shift in health-related thinking. The former paradigm emphasized only disease; the new emphasizes health, functioning, well-being, and disease. Measures of health and disease have evolved to reflect the new paradigm. Many are designed for clinical settings, based on measurement science, and are relatively brief. These newer measures have been used to document the natural history of disease, evaluate treatment effectiveness, and improve clinical case management. Today: Two barriers block full-scale use in clinical settings. The first barrier involves the meaning and interpretation of health status scores. Patients' scores are influenced by several types of patient mix variables and the timing of measurements. Interpretation is enhanced by valid normative data displaying the variability in health status among homogenous patient groups. The second barrier is utilization and mainstreaming. It involves all of the issues associated with changing the day-to-day behavior of clinicians and providers' routine processes to facilitate routine use of health status measures in clinical settings. Tomorrow: In the next decade, the nation will attempt to overhaul the health care system. As it does so, it will struggle with many issues: 1) clarifying the true aim of health care; 2) standardizing measures of health across patients, providers, and settings to evaluate benefit; 3) establishing cause and effect among structural-input factors, care delivery processes, and health outcomes valued by society; and 4) determining if and when cost containment actions have adverse effects on health outcomes. In this context, the importance of interpreting change in health status has a central role.

Activities of Daily Living↗

Magnetoencephalographic mapping: basic of a new functional risk profile in the selection of patients with cortical brain lesions.

OBJECTIVE: Surgical management of cortical lesions adjacent to or within the eloquent cerebral cortex requires a critical risk: benefit analysis of the procedure before intervention. This study introduced a measure of surgical risk, based on preoperative magnetoencephalographic (MEG) sensory and motor mapping, and tested its value in predicting surgical morbidity. METHODS: Forty patients (21 men and 19 women; mean age, 36.5 yr) with cortical lesions (12 arteriovenous malformations and 28 tumors) in the vicinity of the sensorimotor cortex were classified into high-, medium-, or low-risk categories by using the MEG-defined functional risk profile (FRP). This was based on the minimal distance between the lesion margin and the sensory and motor MEG sources, superimposed on a magnetic resonance imaging scan. Case management decisions were based on the MEG mapping-derived FRP in combination with biopsy pathological findings, radiographic findings, and anatomic characteristics of the lesion. A recently developed protocol was used to transform MEG source locations into the stereotactic coordinate system. This procedure provided intraoperative access to MEG data in combination with stereotactic anatomic data displays routinely available on-line during surgery. RESULTS: It was determined that 11 patients diagnosed as having gliomas had high FRPs. The margin of the lesion was less than 4 mm from the nearest MEG dipole or involved the central sulcus directly. A nonoperative approach was used for six patients of this group, based on the MEG mapping-derived FRP. In the group with arteriovenous malformations, 6 of 12 patients with high or medium FRPs underwent nonoperative therapy. The remaining 28 patients, whose lesions showed satisfactory FRPs, underwent uneventful lesion resection, without postoperative neurological deficits. CONCLUSION: Our results suggest that MEG mapping-derived FRPs can serve as powerful tools for use in presurgical planning and during surgery.

Adult↗

Nursing administrators' experiences in managing PDA use for inpatient units.

The adoption of information technology in patient care has become a trend in healthcare organizations. The impact of this technology on end users has been widely studied, but little attention has been given to its influence from a management perspective. The purpose of this study was to explore nurse managers' perceived experiences in implementing a policy to adopt personal digital assistant technology. A descriptive, exploratory qualitative approach (one-on-one, in-depth interviews) was used to collect data from 16 nurse managers of inpatient units at a medical center in Taiwan. Interview data were analyzed according to Miles and Huberman's data reduction, data display, and conclusion verification process. The results revealed that nurse managers experienced the limitations of technology, training issues, doctors' obstructive influence, role conflict, and improvement of future personal digital assistant use. These results can be used to improve strategic organizational planning and in-service training programs to implement information systems.

Adult↗

Active microelectronic array system for DNA hybridization, genotyping and pharmacogenomic applications.

Microelectronic arrays have been developed for DNA hybridization analysis of point mutations, single nucleotide polymorphisms, short tandem repeats and gene expression. In addition to a variety of molecular biology and genomic research applications, such devices will also be used for infectious disease detection, genetic and cancer diagnostics, and pharmacogenomic applications. These microelectronic array devices are able to produce defined electric fields on their surfaces that allow charged molecules and other entities to be transported to or from any test site or micro-location on the planar surface of the device. These molecules and entities include DNA, RNA, proteins, enzymes, antibodies and cells. Electronic-based molecule addressing and hybridization can then be carried out, where the electric field is now used to greatly accelerate the hybridization reactions that occur on the selected test sites. When reversed, the electric field can be used to provide an additional parameter for improved hybridization. Special low-conductance buffers have been developed that provide for the rapid transport of the DNA molecules and facilitate the electronic hybridization reactions under conditions that do not support hybridization. Important to the device function is the permeation layer that overcoats the underlying microelectrodes. Generally composed of a porous hydrogel material impregnated with attachment chemistry, this permeation layer prevents the destruction of analytes at the active microelectrode surface, ameliorates the adverse effects of electrolysis products on the sensitive hybridization and affinity reactions, and serves as a support structure for attaching DNA probes and other molecules to the array. The microelectronic chip or array device is incorporated into a cartridge package (NanoChip trade mark cartridge) that provides the electronic, optical, and fluidic interfacing. A complete instrument system (NanoChip trade mark Molecular Biology Workstation) provides a chip loader, fluorescent reader, computer control interface and data display screen. The probe loader component allows DNA probes or target molecules (polymerase chain reactions amplicons, genomic DNA, RNA, etc.) to be selectively addressed to the array test sites, providing the end-user with 'make your own chip' capabilities. The electronic hybridization can then be carried out and the chip analyzed using a fluorescent detector system. In addition to carrying out rapid, accurate and highly reliable genotyping (point mutations, single nucleotide polymorphisms, short tandem repeats), other future applications include gene expression analysis, or on-chip amplification, immunoassays and cell separation and selection. Smaller and more compact systems are also being designed for portable sample to answer and point of care diagnostics.

DNA Probes↗

Process management: two control charts.

It is not at all surprising that many persons avoid involvement in statistical process control. The statistical procedures developed in industry to monitor production processes are somewhat different from those employed in biostatistics and social science applications. Many find it difficult to adjust to these procedures and to apply statistical process control techniques to situations in health care settings. Not everyone involved in a QI process, however, needs to become versed in statistical process control techniques. At the Indiana University Medical Center several persons from different hospital departments have volunteered to form a cadre of internal statistical process control consultants. The group has come to be known by some as the statistical process control "think tank." No doubt a small group of individuals who are interested in statistics, quality control, and computers can be found in most hospitals. While it is necessary that the large majority of managers and supervisors in any health care organization are knowledgeable about process management and control charts at the concept level of understanding, it takes a relatively few to understand and use such control charts. As internal consultants, these few persons can provide technical assistance when such aid is needed.

Computer Graphics↗