Evidence map›Paper›PMID 24398586›Full record

ArticlePhysiological measurement2014

Miniature ambulatory skin conductance monitor and algorithm for investigating hot flash events.

Dennis E Bahr, John G Webster, Deborah Grady, Fredi Kronenberg, Jennifer Creasman, Judy Macer, Mark Shults, Mitchell Tyler, Xin Zhou

Abstract read
In one paragraph

Article in Physiological measurement, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Effects of menopause on temperature regulation.Temperature (Austin, Tex.) · 2025
    Review
  5. Article
  6. Review
  7. Automatic Detection of Hot Flash Occurrence and Timing from Skin Conductance Activity.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dennis E BahrDepartment of Research and Development, Bahr Management, Inc., Middleton, WI 53562, USA. Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA.
John G Webster
Deborah Grady
Fredi Kronenberg
Jennifer Creasman
Judy Macer
Mark Shults
Mitchell Tyler
Xin Zhou

Funding

Miniature Ambulatory Hot Flash MonitorR44AT003183 · NCCIH · BAHR MANAGEMENT, INC. · PI WEBSTER, JOHN G · 2008 to 2008
$750k
Miniature sternal skin-attached hot flash recorderR43AT003183 · NCCIH · BAHR MANAGEMENT, INC. · PI WEBSTER, JOHN G · 2005 to 2005
$250k
Tools and Technology to Measure Menopausal SymptomatologyR43AT004070 · NCCIH · BAHR MANAGEMENT, INC. · PI WEBSTER, JOHN G · 2006 to 2006
$245k
NCCIH NIH HHS 2R44AT3183-02NCCIH NIH HHS R43 AT003183NCCIH NIH HHS R43 AT004070NCCIH NIH HHS R43AT3183-01NCCIH NIH HHS R43AT4070-01NCCIH NIH HHS R44 AT003183
6 · The paper itself

Abstract

A skin conductance monitoring system was developed and shown to reliably acquire and record hot flash events in both supervised laboratory and unsupervised ambulatory conditions. The 7.2 × 3.8 × 1.2 cm(3) monitor consists of a disposable adhesive patch supporting two hydrogel electrodes and a reusable, miniaturized, enclosed electronic circuit board that snaps onto the electrodes. The monitor measures and records the skin conductance for seven days without external wires or telemetry and has an event marker that the subject can press whenever a hot flash is experienced. The accuracy of the system was demonstrated by comparing the number of hot flashes detected by algorithms developed during this research with the number identified by experts in hot flash studies. Three methods of detecting hot flash events were evaluated, but only two were fully developed. The two that were developed were an artificial neural network and a matched filter technique with multiple kernels implemented as a sliding form of the Pearson product-moment correlation coefficient. Both algorithms were trained on a 'development' cohort of 17 women and then validated using a second similar 'validation' cohort of 20. All subjects were between the ages of 40 and 60 and self-reported ten or more hot flashes per day over a three day period. The matched filter was the most accurate with a mean sensitivity of 0.92 and a mean specificity of 0.90 using the data from the development cohort and a mean sensitivity of 0.92 and a mean specificity of 0.87 using the data from the validation cohort. The matched filter was the method implemented in our processing software.

Indexed as

AlgorithmsGalvanic Skin ResponseFemaleHot FlashesHumansMiniaturizationMonitoring, Ambulatory

Identifiers

PMID24398586
PMCPMC3951394

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.