Work Description

Title: Data for "Comparison of Anorectal Function Measured using Wearable Digital Manometry and a High Resolution Manometry System." article (PLOS ONE) PONE-D-20-01826R1 Open Access Deposited

h
Attribute Value
Methodology
  • Bland & Altman method is used to compare results from the Digital Manometry (DM) and the High-Resolution Anorectal Manometry (HR-ARM) systems.

  • Details of methodologies are expressed in "Comparison of Anorectal Function Measured using Wearable Digital Manometry and a High Resolution Manometry System." (PLOS ONE)
Description
  • Please refer to the "README.txt" for more details.

  • MATLAB R2018a (Mathworks, Natick, MA, USA) was used to process this data.

  • Excel (Microsoft Office) was used to store survey data on the comfort of both systems and also to provide absolute and relative intraobserver variablities for the DM device.
Creator
Depositor
  • attari@umich.edu
Contact information
Discipline
Funding agency
  • Other Funding Agency
Other Funding agency
  • University of Michigan (U-M) Claude Pepper Older Americans Independence Center, National Institute on Aging

  • University of Michigan (U-M) Michigan Translational Research & Commercialization (MTRAC)

  • University of Michigan (U-M) Coulter Foundation Grant
Keyword
Citations to related material
  • Comparison of anorectal function measured using wearable digital manometry and a high resolution manometry system Attari A, Chey WD, Baker JR, Ashton-Miller JA (2020) Comparison of anorectal function measured using wearable digital manometry and a high resolution manometry system. PLOS ONE 15(9): e0228761. https://doi.org/10.1371/journal.pone.0228761
Resource type
Last modified
  • 11/19/2022
Published
  • 10/27/2020
Language
DOI
  • https://doi.org/10.7302/2sq4-2b29
License
To Cite this Work:
Attari, A. (2020). Data for "Comparison of Anorectal Function Measured using Wearable Digital Manometry and a High Resolution Manometry System." article (PLOS ONE) PONE-D-20-01826R1 [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/2sq4-2b29

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Files (Count: 7; Size: 39.8 KB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
README.txt 2020-09-04 2020-10-26 1.94 KB Open Access
Analyses_H1_H2.m 2020-09-04 2020-10-26 14.7 KB Open Access
DM_HR-ARM_Data.mat 2020-09-04 2020-10-26 1.66 KB Open Access
Survey_Data.csv 2020-10-26 2020-10-26 940 Bytes Open Access
Analyses_H3.m 2020-09-04 2020-10-26 1.73 KB Open Access
DM_Intraobserver_Variability.xlsx 2020-09-04 2020-10-26 16.6 KB Open Access
DM_Intraobserver_Variability.csv 2020-10-26 2020-10-26 2.27 KB Open Access

This work contains data and codes used to prepare plots and results for the following journal paper (open access):

"Comparison of anorectal function measured using wearable digital manometry and a high resolution manometry system"
Ali Attari ,William D. Chey,Jason R. Baker,James A. Ashton-Miller
PLOS ONE, Published: September 29, 2020
https://doi.org/10.1371/journal.pone.0228761

This work include:

"Analyses_H1_H2.m"
Matlab code to test hypothesis H1 & H2 in the paper above by analyzing DM and HR-ARM pressure
data (and EMG values for DM) from subjects that are stored in "DM_HR-ARM_Data.mat".
It generates six base MATLAB plots (*.fig) that are brought together in the Fig 5(A-D) and Fig 6 of the paper.
Please refer to the comment section at the beginning of the file.
Please only use MATLAB R2018a or higher (Mathworks, Natick, MA, USA) to run this.

"DM_HR-ARM_Data.mat"
DM and HR-ARM pressure data (and EMG values for DM) from subjects.
This file is not meant to be opened standalone.
Please use "Analyses_H1_H2.m" code which accesses this file.

“Survey_Data.csv”
Summary of the surveys on the comfort level of each device is stored in “Survey_Data.csv”.

“Analyses_H3.m”
Use MATLAB again to run the “Analyses_H3.m” to get the p-values for comparison of the comfort levels.

“DM Intraobserver Variability.xlsx”
Provides the Intraobserver variability for the DM device.
For HR-ARM, please refer to the literature.

“DM Intraobserver Variability.csv”
Comma separated format of “DM Intraobserver Variability.xlsx” in case there is a compatibility issue.

NOTE:
In all files, units for all pressure data are in [mmHg].
Units for EMG change data are in [uV/uV].

for more information please contact the corresponding author below.

--
Ali Attari, PhD (attari@umich.edu)
University of Michigan
Biomechanics Research Laboratory
College of Engineering
University of Michigan
10/25/2020

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