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Ambulatory monitoring of tremor and other movements before and after thalamotomy: A new quantitative technique

Identifieur interne : 002B16 ( Main/Corpus ); précédent : 002B15; suivant : 002B17

Ambulatory monitoring of tremor and other movements before and after thalamotomy: A new quantitative technique

Auteurs : E. J. W. Van Someren ; W. A. Van Gool ; B. F. M. Vonk ; M. Mirmiran ; J. D. Speelman ; D. A. Bosch ; D. F. Swaab

Source :

RBID : ISTEX:25ADCB82D565E060A659415900900694244AA087

Abstract

Tremor, e.g. in Parkinson patients, often shows large spontaneous fluctuations in severity over the day, to such an extent that a short observation is usually not sufficient to assess the overall severity or the effect of a treatment. Since momentary impressions of the tremor can thus be misleading, long-term ambulatory recordings would be helpful in the evaluation of severity and treatment effectiveness. As existing methods for long-term tremor registration have several shortcomings, a new method is proposed: an algorithm was designed to discriminate tremor from other movements and to describe the amount (i.e. the proportion of tremor or movements per time unit) as well as the intensity (i.e. average acceleration amplitude) of the two types of movement. In the evaluation of the severity of tremor both the amount and intensity of tremor episodes are of importance. The algorithm was tested on 24-h analog tape recordings of wrist-movement in 10 young and 10 aged controls, as well as in 8 patients with tremor - both before and after a tremor relieving thalamotomy. The algorithm scored movements as ‘tremor’ exclusively in patients prior to the operation. Fluctuations in tremor severity over the day were detected, and tremor could be discriminated from non-pathological movements. Moreover, following thalamotomy, motor slowing (bradykinesia) was detectable using this algorithm. Based on these test results, a miniaturized device in wrist-watch format is now being developed for long-term registrations.

Url:
DOI: 10.1016/0022-510X(93)90148-R

Links to Exploration step

ISTEX:25ADCB82D565E060A659415900900694244AA087

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<ce:text>Correspondence to: E.J.W. van Someren, Netherlands Institute for Brain Research, Meibergdreef 33, 1105 AZ Amsterdam, The Netherlands. Tel.: (+31-20)5665 500; Fax: (+31-20) 6918466.</ce:text>
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<ce:date-received day="2" month="7" year="1992"></ce:date-received>
<ce:date-revised day="4" month="12" year="1992"></ce:date-revised>
<ce:date-accepted day="8" month="12" year="1992"></ce:date-accepted>
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<ce:abstract-sec>
<ce:simple-para>Tremor, e.g. in Parkinson patients, often shows large spontaneous fluctuations in severity over the day, to such an extent that a short observation is usually not sufficient to assess the overall severity or the effect of a treatment. Since momentary impressions of the tremor can thus be misleading, long-term ambulatory recordings would be helpful in the evaluation of severity and treatment effectiveness. As existing methods for long-term tremor registration have several shortcomings, a new method is proposed: an algorithm was designed to discriminate tremor from other movements and to describe the amount (i.e. the proportion of tremor or movements per time unit) as well as the intensity (i.e. average acceleration amplitude) of the two types of movement. In the evaluation of the severity of tremor both the amount and intensity of tremor episodes are of importance. The algorithm was tested on 24-h analog tape recordings of wrist-movement in 10 young and 10 aged controls, as well as in 8 patients with tremor - both before and after a tremor relieving thalamotomy. The algorithm scored movements as ‘tremor’ exclusively in patients prior to the operation. Fluctuations in tremor severity over the day were detected, and tremor could be discriminated from non-pathological movements. Moreover, following thalamotomy, motor slowing (bradykinesia) was detectable using this algorithm. Based on these test results, a miniaturized device in wrist-watch format is now being developed for long-term registrations.</ce:simple-para>
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<ce:keywords>
<ce:section-title>Keywords</ce:section-title>
<ce:keyword>
<ce:text>Tremor</ce:text>
</ce:keyword>
<ce:keyword>
<ce:text>Movement</ce:text>
</ce:keyword>
<ce:keyword>
<ce:text>Ambulatory monitoring</ce:text>
</ce:keyword>
<ce:keyword>
<ce:text>Parkinson's disease</ce:text>
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<ce:keyword>
<ce:text>Thalamotomy</ce:text>
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<description>Correspondence to: E.J.W. van Someren, Netherlands Institute for Brain Research, Meibergdreef 33, 1105 AZ Amsterdam, The Netherlands. Tel.: (+31-20)5665 500; Fax: (+31-20) 6918466.</description>
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<affiliation>Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands</affiliation>
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<name type="personal">
<namePart type="given">B.F.M.</namePart>
<namePart type="family">Vonk</namePart>
<affiliation>Vitatron Medical, Dieren, The Netherlands</affiliation>
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<namePart type="given">M.</namePart>
<namePart type="family">Mirmiran</namePart>
<affiliation>Netherlands Institute for Brain Research, Amsterdam, The Netherlands</affiliation>
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<affiliation>Department of Neurosurgery, Academic Medical Centre, Amsterdam, The Netherlands</affiliation>
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<namePart type="given">D.F.</namePart>
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<affiliation>Netherlands Institute for Brain Research, Amsterdam, The Netherlands</affiliation>
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<abstract lang="en">Tremor, e.g. in Parkinson patients, often shows large spontaneous fluctuations in severity over the day, to such an extent that a short observation is usually not sufficient to assess the overall severity or the effect of a treatment. Since momentary impressions of the tremor can thus be misleading, long-term ambulatory recordings would be helpful in the evaluation of severity and treatment effectiveness. As existing methods for long-term tremor registration have several shortcomings, a new method is proposed: an algorithm was designed to discriminate tremor from other movements and to describe the amount (i.e. the proportion of tremor or movements per time unit) as well as the intensity (i.e. average acceleration amplitude) of the two types of movement. In the evaluation of the severity of tremor both the amount and intensity of tremor episodes are of importance. The algorithm was tested on 24-h analog tape recordings of wrist-movement in 10 young and 10 aged controls, as well as in 8 patients with tremor - both before and after a tremor relieving thalamotomy. The algorithm scored movements as ‘tremor’ exclusively in patients prior to the operation. Fluctuations in tremor severity over the day were detected, and tremor could be discriminated from non-pathological movements. Moreover, following thalamotomy, motor slowing (bradykinesia) was detectable using this algorithm. Based on these test results, a miniaturized device in wrist-watch format is now being developed for long-term registrations.</abstract>
<note type="content">Section title: Research article</note>
<subject>
<genre>Keywords</genre>
<topic>Tremor</topic>
<topic>Movement</topic>
<topic>Ambulatory monitoring</topic>
<topic>Parkinson's disease</topic>
<topic>Thalamotomy</topic>
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<dateIssued encoding="w3cdtf">199307</dateIssued>
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<identifier type="ISSN">0022-510X</identifier>
<identifier type="PII">S0022-510X(00)X0286-9</identifier>
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<date>199307</date>
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<start>1</start>
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