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Design and Validation of a Periodic Leg Movement Detector
Periodic Limb Movements (PLMs) are episodic, involuntary movements caused by fairly specific muscle contractions that occur during sleep and can be scored during nocturnal polysomnography (NPSG). Because leg movements (LM) may be accompanied by an arousal or sleep fragmentation, a high PLM index (i....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260847/ https://www.ncbi.nlm.nih.gov/pubmed/25489744 http://dx.doi.org/10.1371/journal.pone.0114565 |
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author | Moore, Hyatt Leary, Eileen Lee, Seo-Young Carrillo, Oscar Stubbs, Robin Peppard, Paul Young, Terry Widrow, Bernard Mignot, Emmanuel |
author_facet | Moore, Hyatt Leary, Eileen Lee, Seo-Young Carrillo, Oscar Stubbs, Robin Peppard, Paul Young, Terry Widrow, Bernard Mignot, Emmanuel |
author_sort | Moore, Hyatt |
collection | PubMed |
description | Periodic Limb Movements (PLMs) are episodic, involuntary movements caused by fairly specific muscle contractions that occur during sleep and can be scored during nocturnal polysomnography (NPSG). Because leg movements (LM) may be accompanied by an arousal or sleep fragmentation, a high PLM index (i.e. average number of PLMs per hour) may have an effect on an individual’s overall health and wellbeing. This study presents the design and validation of the Stanford PLM automatic detector (S-PLMAD), a robust, automated leg movement detector to score PLM. NPSG studies from adult participants of the Wisconsin Sleep Cohort (WSC, n = 1,073, 2000–2004) and successive Stanford Sleep Cohort (SSC) patients (n = 760, 1999–2007) undergoing baseline NPSG were used in the design and validation of this study. The scoring algorithm of the S-PLMAD was initially based on the 2007 American Association of Sleep Medicine clinical scoring rules. It was first tested against other published algorithms using manually scored LM in the WSC. Rules were then modified to accommodate baseline noise and electrocardiography interference and to better exclude LM adjacent to respiratory events. The S-PLMAD incorporates adaptive noise cancelling of cardiac interference and noise-floor adjustable detection thresholds, removes LM secondary to sleep disordered breathing within 5 sec of respiratory events, and is robust to transient artifacts. Furthermore, it provides PLM indices for sleep (PLMS) and wake plus periodicity index and other metrics. To validate the final S-PLMAD, experts visually scored 78 studies in normal sleepers and patients with restless legs syndrome, sleep disordered breathing, rapid eye movement sleep behavior disorder, narcolepsy-cataplexy, insomnia, and delayed sleep phase syndrome. PLM indices were highly correlated between expert, visually scored PLMS and automatic scorings (r(2) = 0.94 in WSC and r(2) = 0.94 in SSC). In conclusion, The S-PLMAD is a robust and high throughput PLM detector that functions well in controls and sleep disorder patients. |
format | Online Article Text |
id | pubmed-4260847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42608472014-12-15 Design and Validation of a Periodic Leg Movement Detector Moore, Hyatt Leary, Eileen Lee, Seo-Young Carrillo, Oscar Stubbs, Robin Peppard, Paul Young, Terry Widrow, Bernard Mignot, Emmanuel PLoS One Research Article Periodic Limb Movements (PLMs) are episodic, involuntary movements caused by fairly specific muscle contractions that occur during sleep and can be scored during nocturnal polysomnography (NPSG). Because leg movements (LM) may be accompanied by an arousal or sleep fragmentation, a high PLM index (i.e. average number of PLMs per hour) may have an effect on an individual’s overall health and wellbeing. This study presents the design and validation of the Stanford PLM automatic detector (S-PLMAD), a robust, automated leg movement detector to score PLM. NPSG studies from adult participants of the Wisconsin Sleep Cohort (WSC, n = 1,073, 2000–2004) and successive Stanford Sleep Cohort (SSC) patients (n = 760, 1999–2007) undergoing baseline NPSG were used in the design and validation of this study. The scoring algorithm of the S-PLMAD was initially based on the 2007 American Association of Sleep Medicine clinical scoring rules. It was first tested against other published algorithms using manually scored LM in the WSC. Rules were then modified to accommodate baseline noise and electrocardiography interference and to better exclude LM adjacent to respiratory events. The S-PLMAD incorporates adaptive noise cancelling of cardiac interference and noise-floor adjustable detection thresholds, removes LM secondary to sleep disordered breathing within 5 sec of respiratory events, and is robust to transient artifacts. Furthermore, it provides PLM indices for sleep (PLMS) and wake plus periodicity index and other metrics. To validate the final S-PLMAD, experts visually scored 78 studies in normal sleepers and patients with restless legs syndrome, sleep disordered breathing, rapid eye movement sleep behavior disorder, narcolepsy-cataplexy, insomnia, and delayed sleep phase syndrome. PLM indices were highly correlated between expert, visually scored PLMS and automatic scorings (r(2) = 0.94 in WSC and r(2) = 0.94 in SSC). In conclusion, The S-PLMAD is a robust and high throughput PLM detector that functions well in controls and sleep disorder patients. Public Library of Science 2014-12-09 /pmc/articles/PMC4260847/ /pubmed/25489744 http://dx.doi.org/10.1371/journal.pone.0114565 Text en © 2014 Moore et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Moore, Hyatt Leary, Eileen Lee, Seo-Young Carrillo, Oscar Stubbs, Robin Peppard, Paul Young, Terry Widrow, Bernard Mignot, Emmanuel Design and Validation of a Periodic Leg Movement Detector |
title | Design and Validation of a Periodic Leg Movement Detector |
title_full | Design and Validation of a Periodic Leg Movement Detector |
title_fullStr | Design and Validation of a Periodic Leg Movement Detector |
title_full_unstemmed | Design and Validation of a Periodic Leg Movement Detector |
title_short | Design and Validation of a Periodic Leg Movement Detector |
title_sort | design and validation of a periodic leg movement detector |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4260847/ https://www.ncbi.nlm.nih.gov/pubmed/25489744 http://dx.doi.org/10.1371/journal.pone.0114565 |
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