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    Design and Evaluation of a Computer-Controlled Pressure Algometer

    Source: Journal of Medical Devices:;2011:;volume( 005 ):;issue: 003::page 31002
    Author:
    Michael M. Zimkowski
    ,
    Emily M. Lindley
    ,
    Vikas V. Patel
    ,
    Mark E. Rentschler
    DOI: 10.1115/1.4004416
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A challenge is always presented when attempting to measure the pain an individual patient experiences. Unfortunately, present technologies rely nearly exclusively on subjective techniques. Using these current techniques, a physician may use a manually operated algometer and a series of questionnaires to gauge an individual patient’s pain scale. Unfortunately these devices and test methods have been suggested to introduce error due to variability and inconsistent testing methods. Some studies have shown large variability, while others have shown minimal variability, both between patients and within the same patient during multiple testing sessions. Recent studies have also shown a lack of correlation between pain threshold and pain tolerance in pain sensitivity tests. Hand-held algometer devices can be difficult to maintain consistent application rates over multiple test periods, possibly adding to widespread variability. Furthermore, there are limited test results that correlate pain ratings with biological measures in real time. The computer-controlled pressure algometer described is not hand-held or dependent on significant examiner input. This new device is capable of recording electrocardiograph (ECG), blood pressure (BP), pressure pain threshold (PPT), and pressure pain tolerance (PPTol) in real time. One major goal is the capability of correlating pain stimuli with algometer pressure, heart rate, and blood pressure. If a predictable correlation between vital signs and pain could be established, significant gains in the understanding of pain could result. Better understanding of pain will ultimately lead to improvements in treatment and diagnosis of pain conditions, helping patients and physicians alike.
    keyword(s): Pressure , Blood , Design , Computers AND Testing ,
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      Design and Evaluation of a Computer-Controlled Pressure Algometer

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    contributor authorMichael M. Zimkowski
    contributor authorEmily M. Lindley
    contributor authorVikas V. Patel
    contributor authorMark E. Rentschler
    date accessioned2017-05-09T00:46:08Z
    date available2017-05-09T00:46:08Z
    date copyrightSeptember, 2011
    date issued2011
    identifier issn1932-6181
    identifier otherJMDOA4-28020#031002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/147206
    description abstractA challenge is always presented when attempting to measure the pain an individual patient experiences. Unfortunately, present technologies rely nearly exclusively on subjective techniques. Using these current techniques, a physician may use a manually operated algometer and a series of questionnaires to gauge an individual patient’s pain scale. Unfortunately these devices and test methods have been suggested to introduce error due to variability and inconsistent testing methods. Some studies have shown large variability, while others have shown minimal variability, both between patients and within the same patient during multiple testing sessions. Recent studies have also shown a lack of correlation between pain threshold and pain tolerance in pain sensitivity tests. Hand-held algometer devices can be difficult to maintain consistent application rates over multiple test periods, possibly adding to widespread variability. Furthermore, there are limited test results that correlate pain ratings with biological measures in real time. The computer-controlled pressure algometer described is not hand-held or dependent on significant examiner input. This new device is capable of recording electrocardiograph (ECG), blood pressure (BP), pressure pain threshold (PPT), and pressure pain tolerance (PPTol) in real time. One major goal is the capability of correlating pain stimuli with algometer pressure, heart rate, and blood pressure. If a predictable correlation between vital signs and pain could be established, significant gains in the understanding of pain could result. Better understanding of pain will ultimately lead to improvements in treatment and diagnosis of pain conditions, helping patients and physicians alike.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDesign and Evaluation of a Computer-Controlled Pressure Algometer
    typeJournal Paper
    journal volume5
    journal issue3
    journal titleJournal of Medical Devices
    identifier doi10.1115/1.4004416
    journal fristpage31002
    identifier eissn1932-619X
    keywordsPressure
    keywordsBlood
    keywordsDesign
    keywordsComputers AND Testing
    treeJournal of Medical Devices:;2011:;volume( 005 ):;issue: 003
    contenttypeFulltext
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