Effects of new PLM scoring rules on PLM rate in relation to sleep and resting wake for RLS and healthy controls.

Purpose: This study evaluates the differences in periodic leg movement (PLM) rates for Restless Legs Syndrome (RLS) and healthy controls when using the updated PLM scoring criteria developed by IRLSSG in 2016 versus the prior PLM scoring criteria developed by IRLSSG in 2006. Four major problems with the prior standards had been objectively identified, i.e.

Intervening Leg Movements Disrupt PLMS Sequences.

Study Objectives: Periodic leg movements during sleep (PLMS) occur within a subject as a series with a remarkably stable period defined by the intermovement interval (IMI). Sometimes a non-PLMS movement occurs intervening between two PLMS. PLMS scoring rules totally ignore these intervening leg movements (iLM).

Defining morphology of periodic leg movements in sleep: an evidence-based definition of a minimum window of sustained activity.

Objective: Current standard guidelines for scoring periodic leg movements (PLM) define the start and end of a movement but fail to explicitly specify the movement morphology necessary to classify an EMG event as a PLM, rather than some other muscle event. This is currently left to the expert visual scorer to determine. This study aimed to define this morphology to provide a consistent standard for visual scoring and to improve automatic periodic leg movements in sleep scoring.

Inter-movement interval as a primary stable measure of periodic limb movements of sleep.

Aim: Periodic leg movements in sleep (PLMS) are generally evaluated by the number of events per hour during sleep, but this is an unstable measure with marked nightly variability and also fails to assess the basic periodicity that essentially characterizes these movements. The inter-movement interval (IMI) evaluates a putative biological process producing the period of PLMS. By contrast, the actual number of PLMS reflects the expression of this biological process that would likely be affected by multiple factors, particularly those disrupting sleep.

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

Background And Purpose: 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.

Methods And Subjects: 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.