Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00332157" target="_blank" >RIV/68407700:21230/19:00332157 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21460/19:00332157 RIV/68407700:21730/19:00332157

Výsledek na webu

<a href="https://doi.org/10.1016/j.bspc.2019.02.023" target="_blank" >https://doi.org/10.1016/j.bspc.2019.02.023</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.bspc.2019.02.023" target="_blank" >10.1016/j.bspc.2019.02.023</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder

Popis výsledku v původním jazyce

We aimed at evaluating semi-automatic detection and quantification of polysomnographic REM sleep without atonia (RSWA). As basic requirements, we defined lower time demand, the possibility of comparison of several evaluations and ease of examination for neurologists. We focused on well-known primary processing of surface electromyographic signals and selected recordings that were free of technical artifacts that could compromise automated signal detection. Thus we created a comprehensive method consisting of several modules (data preprocessing, signal filtration, envelopes creation, detection of ECG QRS complexes, iterative RSWA detection, detection evaluation and interactive visualization). The original dataset consisted of 7 individual polysomnography (PSG) recordings of individual human adult subjects with REM sleep behavior disorder (RBD). RSWA detection was performed with three different methods for envelope creation (envelope by moving average filter, envelope by Savitzky–Golay filtration and peaks interpolation). Best RSWA detection was achieved using the envelope by moving average filter (average precision 64.24 ± 12.34% and recall 91.63 ± 10.07%). The lowest precision was 42.86% with 100% recall.

Název v anglickém jazyce

Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder

Popis výsledku anglicky

We aimed at evaluating semi-automatic detection and quantification of polysomnographic REM sleep without atonia (RSWA). As basic requirements, we defined lower time demand, the possibility of comparison of several evaluations and ease of examination for neurologists. We focused on well-known primary processing of surface electromyographic signals and selected recordings that were free of technical artifacts that could compromise automated signal detection. Thus we created a comprehensive method consisting of several modules (data preprocessing, signal filtration, envelopes creation, detection of ECG QRS complexes, iterative RSWA detection, detection evaluation and interactive visualization). The original dataset consisted of 7 individual polysomnography (PSG) recordings of individual human adult subjects with REM sleep behavior disorder (RBD). RSWA detection was performed with three different methods for envelope creation (envelope by moving average filter, envelope by Savitzky–Golay filtration and peaks interpolation). Best RSWA detection was achieved using the envelope by moving average filter (average precision 64.24 ± 12.34% and recall 91.63 ± 10.07%). The lowest precision was 42.86% with 100% recall.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Biomedical Signal Processing and Control

ISSN

1746-8094

e-ISSN

1746-8108

Svazek periodika

51

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

243-252

Kód UT WoS článku

000465051300025

EID výsledku v databázi Scopus

2-s2.0-85062469173