A Novel Adaptive Noise Elimination Algorithm in Long RR Interval Sequences for Heart Rate Variability Analysis.
R-R interval
RRI
algorithm
artifact
elimination
heart rate variability
noise
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
26 Nov 2022
26 Nov 2022
Historique:
received:
30
10
2022
revised:
23
11
2022
accepted:
24
11
2022
entrez:
11
12
2022
pubmed:
12
12
2022
medline:
15
12
2022
Statut:
epublish
Résumé
As heart rate variability (HRV) studies become more and more prevalent in clinical practice, one of the most common and significant causes of errors is associated with distorted RR interval (RRI) data acquisition. The nature of such artifacts can be both mechanical as well as software based. Various currently used noise elimination in RRI sequences methods use filtering algorithms that eliminate artifacts without taking into account the fact that the whole RRI sequence time cannot be shortened or lengthened. Keeping that in mind, we aimed to develop an artifacts elimination algorithm suited to long-term (hours or days) sequences that does not affect the overall structure of the RRI sequence and does not alter the duration of data registration. An original adaptive smart time series step-by-step analysis and statistical verification methods were used. The adaptive algorithm was designed to maximize the reconstruction of the heart-rate structure and is suitable for use, especially in polygraphy. The authors submit the scheme and program for use.
Identifiants
pubmed: 36501915
pii: s22239213
doi: 10.3390/s22239213
pmc: PMC9741331
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Research Council of Lithuania
ID : S-MIP-19-63
Organisme : Gediminas Gruodis donation
ID : Allocated in a public institution "Informeda"
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