Literature DB >> 24570335

Measuring mechanical pain: the refinement and standardization of pressure pain threshold measurements.

Michael Melia1, Martin Schmidt, Britta Geissler, Jochem König, Ulrike Krahn, Hans Jürgen Ottersbach, Stephan Letzel, Axel Muttray.   

Abstract

Pain thresholds are widely used in behavioral research, but unlike other pain modalities, a standardized assessment of pressure pain remains a challenge. In this research, we describe the application of an automatic pressure algometer with a linear increase in force. Ergonomically designed fixation devices were developed to increase the accuracy and to shorten the time of each measurement. Ten healthy volunteers were included in a pilot study to test the algometry method. Pressure pain thresholds (PPTs) were investigated over 2 experimental days in three nonconsecutive runs at 29 measurement sites. During the experiment, subjects reported their subjective sleepiness, level of state-anxiety, psychological status and the perceived pain intensity of each measurement. Pain intensity ratings indicate that instructions were followed. State-anxiety and subjective sleepiness levels were low throughout the experiment. The method has proven to be suitable for standardized PPT measurements across the body in an ergonomic, safe, and user-friendly fashion.

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Mesh:

Year:  2015        PMID: 24570335     DOI: 10.3758/s13428-014-0453-3

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  10 in total

1.  Instrumental validity and intra/inter-rater reliability of a novel low-cost digital pressure algometer.

Authors:  Daniel Jerez-Mayorga; Carolina Fernanda Dos Anjos; Maria de Cássia Macedo; Ilha Gonçalves Fernandes; Esteban Aedo-Muñoz; Leonardo Intelangelo; Alexandre Carvalho Barbosa
Journal:  PeerJ       Date:  2020-10-12       Impact factor: 2.984

2.  Reliability and responsiveness of algometry for measuring pressure pain threshold in patients with knee osteoarthritis.

Authors:  Ebru Kaya Mutlu; Arzu Razak Ozdincler
Journal:  J Phys Ther Sci       Date:  2015-06-30

3.  Effect of painless diabetic neuropathy on pressure pain hypersensitivity (hyperalgesia) after acute foot trauma.

Authors:  Tobias Wienemann; Ernst A Chantelau; Armin Koller
Journal:  Diabet Foot Ankle       Date:  2014-11-06

4.  Brain Response to Non-Painful Mechanical Stimulus to Lumbar Spine.

Authors:  Zaid M Mansour; Laura E Martin; Rebecca J Lepping; Saddam F Kanaan; William M Brooks; Hung-Wen Yeh; Neena K Sharma
Journal:  Brain Sci       Date:  2018-03-01

5.  Predicted Versus Non-Predicted Opioid Administration Using Preoperative Pain Sensitivity in Patients Undergoing Gynecological Surgery: A Randomized-Controlled Trial.

Authors:  Sun-Kyung Park; Hansol Kim; Seokha Yoo; Won Ho Kim; Young-Jin Lim; Jin-Tae Kim
Journal:  J Clin Med       Date:  2021-02-04       Impact factor: 4.241

6.  A novel metric of reliability in pressure pain threshold measurement.

Authors:  Bernard Liew; Ho Yin Lee; David Rügamer; Alessandro Marco De Nunzio; Nicola R Heneghan; Deborah Falla; David W Evans
Journal:  Sci Rep       Date:  2021-03-25       Impact factor: 4.379

7.  A Statistical Model to Determine Biomechanical Limits for Physically Safe Interactions With Collaborative Robots.

Authors:  R Behrens; G Pliske; M Umbreit; S Piatek; F Walcher; N Elkmann
Journal:  Front Robot AI       Date:  2022-02-03

8.  Algometer Assessment of Pressure Pain Threshold After Onabotulinumtoxin-A and Physical Therapy Treatments in Patients With Chronic Migraine: An Observational Study.

Authors:  Manuela Deodato; Antonio Granato; Marta Ceschin; Alessandra Galmonte; Paolo Manganotti
Journal:  Front Pain Res (Lausanne)       Date:  2022-02-10

9.  Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations.

Authors:  Doyeon Han; Moonyoung Park; Junsuk Choi; Heonseop Shin; Donghwan Kim; Sungsoo Rhim
Journal:  Sensors (Basel)       Date:  2022-04-13       Impact factor: 3.576

10.  Endowing a NAO Robot With Practical Social-Touch Perception.

Authors:  Rachael Bevill Burns; Hyosang Lee; Hasti Seifi; Robert Faulkner; Katherine J Kuchenbecker
Journal:  Front Robot AI       Date:  2022-04-19
  10 in total

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