Estimation of the respiratory rate from ballistocardiograms using the Hilbert transform.
Biomed Eng Online
; 21(1): 54, 2022 Aug 04.
Article
em En
| MEDLINE
| ID: mdl-35927665
ABSTRACT
BACKGROUND:
Measuring the respiratory rate is usually associated with discomfort for the patient due to contact sensors or a high time demand for healthcare personnel manually counting it.METHODS:
In this paper, two methods for the continuous extraction of the respiratory rate from unobtrusive ballistocardiography signals are introduced. The Hilbert transform is used to generate an amplitude-invariant phase signal in-line with the respiratory rate. The respiratory rate can then be estimated, first, by using a simple peak detection, and second, by differentiation.RESULTS:
By analysis of a sleep laboratory data set consisting of nine records of healthy individuals lasting more than 63 h and including more than 59,000 breaths, a mean absolute error of as low as 0.7 BPM for both methods was achieved.CONCLUSION:
The results encourage further assessment for hospitalised patients and for home-care applications especially with patients suffering from diseases of the respiratory system like COPD or sleep apnoea.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Síndromes da Apneia do Sono
/
Balistocardiografia
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article