Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “MONITORING SYSTEMS”

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 847 records · Page 47Linked to original sources
PubMed1993

An automatic monitoring system for epithelial cell height.

This paper describes an automatic method to measure cell height (h) of epithelia grown as monolayers on transparent filter supports. Tissues are mounted in an Ussing-type chamber enabling solution exchange on both sides. The apical and basal side of the epithelial cells are marked with fluorescent beads. The image of the fluospheres is captured with a video camera and processed by a computer-based video imaging system. One basal reference bead in a gelatin layer on the filter support and up to three beads attached at the apical surface are used to monitor changes in cell height of three cells simultaneously. The focusing of the microbeads is done automatically by moving the objective with a piezoelectric device mounted on the nosepiece of the microscope. The algorithm for locating the bead is based on the changes in fluorescent light intensity emitted by the fluospheres. The method has an accuracy higher than 0.1 micron and a time resolution as low as 6 s if measurements are restricted to one bead at the apical side. The method was tested on artificial model systems and used to measure volume changes in renal cultured epithelia (A6) after exposing the serosal surface to hypotonic solutions and replacing cell-impermeable sucrose by an organic compound (glycerol) with a smaller reflection coefficient. Serosal hypotonicity elicited a rapid volume increase followed by regulatory volume decrease, whereas the organic compound replacement caused a steady increase in cell volume.

Autoanalysis↗
PubMed1982

An activity-based sleep monitor system for ambulatory use.

Wrist activity measured with a piezoceramic transducer was digitized and analyzed together with subjects' sleep/wake status to derive an optimal method for automatic computer sleep/wake scoring. Several algorithms for quantifying periods of activity were considered, and an algorithm that summed changes in activity level over a 2-s interval was found most sensitive. A computer program for scoring sleep/wake from the resulting digital activity records was then developed, and parameters derived by comparison with subjects' sleep/wake status as determined by EEG. EEG and activity sleep/wake scores agreed 94.46% of the time. A further prospective test of the automatic scoring system with new data yielded agreement of 96.02%. Finally, the data collection and recording functions were implemented in a wearable microprocessor-based digital activity monitor. The automatic scoring program was adjusted to use activity data collected by this monitor, and agreed 93.88% with EEG scoring. A prospective test with new data agreed 93.04% with EEG. Automatic scoring of activity data for sleep/wake is not only fast and accurate, but allows sleep to be monitored in non-laboratory situations. In addition, the score is objective and reliable, and free of scorer bias and drift.

Computers↗
PubMed1998

Community medical care monitoring system for chronic patient.

The chronic disease usually can not be cured well but controlling by the daily care activity, regular diagnosis and dosage under the physician's instructions. In this research, we propose a community medical care monitoring model for monitoring and managing the chronic patients of community through the WWW (World Wide Web) service network and/or telephone voice service network. It can collect more patients' physiological data measured at home or community health agent. Therefore, the chronic disease patients will be getting better cure from his doctor's diagnosis due to the patient's effort.

Chronic Disease↗
PubMed1984

Monitoring system gas concentrations.

With proper measurement of inhaled and exhaled gas concentrations as well as end-tidal concentrations, patient concentrations of oxygen, carbon dioxide, and the volatile anesthetic agents may be inferred; additional information for vigilance monitoring, control of depth of anesthesia, and calculation of physiologic variables can be obtained. From this information, the anesthesiologist will be able to administer improved patient care through more immediate and complete knowledge and control of both equipment and patient function.

Anesthetics↗