Development and validation of a pressure-type automated quantitative sensory testing system for point-of-care pain assessment.
Quantitative sensory testing (QST) can provide useful information about the underlying mechanisms involved in chronic pain. However, currently available devices typically employed suffer from operator-dependent effects, or are too cumbersome for routine clinical care. This paper presents the design...
| Published in: | Medical & Biological Engineering & Computing Vol. 51; no. 6; pp. 633 - 645 |
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| Main Authors: | , , , , , , |
| Format: | research Journal Article |
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Springer Nature
Jun2013
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104072796&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104072796 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jun2013 vid: 51 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104072796 NLM23381890 2012112719 10.1007/s11517-013-1033-x NLM23381890 104072796 ppf: 633 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Development and validation of a pressure-type automated quantitative sensory testing system for point-of-care pain assessment. aug: au: Harte, Steven E Mitra, Mainak Ichesco, Eric A Halvorson, Megan E Clauw, Daniel J Shih, Albert J Kruger, Grant H affil: Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan Medical School, Ann Arbor, MI, 48106, USA. sug: subj: Chronic Pain Diagnosis Pain Measurement Equipment and Supplies Clinical Information Systems Adult Equipment Design Female Human Middle Age Pain Measurement Methods Pain Threshold Physiology Patient Education Methods Adult: 19-44 years Middle Aged: 45-64 years Female ab: Quantitative sensory testing (QST) can provide useful information about the underlying mechanisms involved in chronic pain. However, currently available devices typically employed suffer from operator-dependent effects, or are too cumbersome for routine clinical care. This paper presents the design and initial validation of a novel automated pressure-pain type QST platform, termed the multi-modal automated sensory testing (MAST) system. The MAST configuration presented consists of wireless, hand-held thumbnail pressure stimulators (with circular 10 mm² rubber tips) and graphical touch screen interface devices to manage the QST process and obtain patient feedback. Validation testing of the custom-designed force sensor showed a 1 % error for low forces increasing to 2 % error for larger loads up to 100 N (full-scale). Validation of the controller using three ramp rates (64, 248, and 496 kPa/s) and six pressures (32, 62, 124, 273, 620, and 1116 kPa) showed an overall mean error of 1.7 % for applied stimuli. Clinical evaluation revealed decreased pressure pain thresholds in chronic pain patients (98.07 ± SE 16.34 kPa) compared to pain free, healthy control subjects (259.88 ± SE 33.54 kPa, p = 0.001). The MAST system is portable and produces accurate, repeatable stimulation profiles indicating potential for point-of-care applications. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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