MATPLM1, A MATLAB script for scoring of periodic limb movements: preliminary validation with visual scoring

•MATPLM1, a Matrix Laboratory (MATLAB) script, detects periodic limb movements in sleep (PLMS) from both legs based on World Associations of Sleep Medicine (WASM) scoring criteria.•MATPLM1 is accurate compared to detailed expert visual scoring of PLMS.•The usual visual scoring by trained technicians...

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Bibliographic Details
Published in:Sleep medicine Vol. 16; no. 12; pp. 1541 - 1549
Main Authors: Huang, Andy S., Skeba, Patrick, Yang, Myung S., Sgambati, Francis P., Earley, Christopher J., Allen, Richard P.
Format: Journal Article
Language:English
Published: Netherlands Elsevier B.V 01.12.2015
Subjects:
Aged
Electromyography - instrumentation
Electromyography - methods
Female
Humans
Male
MATPLM1
Middle Aged
Movement - physiology
Neurology
Nocturnal Myoclonus Syndrome - diagnosis
Periodic Leg Movements (PLM)
Periodic Limb Movements in Sleep (PLMS)
Restless Leg Syndrome (RLS)
Restless Legs Syndrome - diagnosis
Restless Legs Syndrome - physiopathology
Sleep Medicine
LM
IMI
EDF
PLMS
IRLSSG scale
MATPLM1
PAM-RL
PLM
Restless Leg Syndrome (RLS)
IRB
Periodic Limb Movements in Sleep (PLMS)
Periodic Leg Movements (PLM)
EMG
European Data Format
International Restless Legs Syndrome Study Group Severity Scale
Physical Activity Monitor for Restless Legs
Periodic Leg Movements
Periodic limb Movements of Sleep
Institutional Review Board
Electromyography
Inter-movement interval
Leg Movement
ISSN:1389-9457, 1878-5506, 1878-5506
Online Access:Get full text
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Summary:•MATPLM1, a Matrix Laboratory (MATLAB) script, detects periodic limb movements in sleep (PLMS) from both legs based on World Associations of Sleep Medicine (WASM) scoring criteria.•MATPLM1 is accurate compared to detailed expert visual scoring of PLMS.•The usual visual scoring by trained technicians significantly underscores PLMS. A Matrix Laboratory (MATLAB) script (MATPLM1) was developed to rigorously apply World Associations of Sleep Medicine (WASM) scoring criteria for periodic limb movements in sleep (PLMS) from bilateral electromyographic (EMG) leg recordings. This study compares MATPLM1 with both standard technician and expert detailed visual PLMS scoring. Validation was based on a ‘macro’ level by agreement for PLMS/h during a night recording and on a ‘micro’ level by agreement for the detection of each PLMS from a stratified random sample for each subject. Data available for these analyses were from 15 restless leg syndrome (RLS) (age: 61.5 ± 8.5, 60% female) and nine control subjects (age: 61.4 ± 7.1, 67% female) participating in another study. In the ‘micro’ analysis, MATPLM1 and the visual detection of PLMS events agreed 87.7% for technician scoring and 94.4% for expert scoring. The technician and MATPLM1 scoring disagreements were checked for 36 randomly selected events, 97% involved clear technician-scoring error. In the ‘macro’ analysis, MATPLM1 rates of PMLS/h correlated highly with visual scoring by the technician (r2 = 0.97) and the expert scorer (r2 = 0.99), but the technician scoring was consistently less than MATPLM1: median (quartiles) difference: 10 (5, 23). There was little disagreement with expert scorer [median (quartile) difference: −0.3 (−2.4, 0.3)]. The MATPLM1 produces reliable scoring of PLMS that matches expert scoring. The standard visual scoring without careful measuring of events tends to significantly underscore PLMS. These preliminary results support the use of MATPLM1 as a preferred method of scoring PLMS for EMG recordings that are of a good quality and without significant sleep-disordered breathing events.
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ISSN:1389-9457
1878-5506
1878-5506
DOI:10.1016/j.sleep.2015.03.008