Applying continuous chaotic modeling to cardiac signal analysis

Cohen, Madeline; Hudson, Donna L.; Deedwania, Prakash

doi:10.1109/51.537065

Cited by 164 publications

(136 citation statements)

References 14 publications

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“…These kinds of scatter plots are very useful in modelling biological systems such as haemodynamics and heart rate variability (Cohen et al 1996). With this approach, rather than defining a time series as chaotic or not chaotic, the degree of variability or chaos is evaluated (Cohen et al 1996).…”

Section: Central Tendency Measure (Ctm)mentioning

confidence: 99%

“…With this approach, rather than defining a time series as chaotic or not chaotic, the degree of variability or chaos is evaluated (Cohen et al 1996).…”

Section: Central Tendency Measure (Ctm)mentioning

confidence: 99%

“…For instance, complexity and regularity measures of EEG signals have been taken to study the depth of anaesthesia and Alzheimer disease (Abásolo et al 2005). Variability measures of ECG allow to distinguish between normal and chronic heart failure subjects (Cohen et al 1996). Some authors have applied non-linear methods over different respiratory patters to study sleep stages and the coordination between brain and lungs (Burioka et al 2003) or panic disorder (Caldirola et al 2004).…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear characteristics of blood oxygen saturation from nocturnal oximetry for obstructive sleep apnoea detection

Álvarez¹,

Hornero²,

Abásolo³

et al. 2006

Physiol. Meas.

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Nocturnal oximetry is an attractive option for the diagnosis of obstructive sleep apnoea (OSA) syndrome because of its simplicity and low cost compared to polysomnography (PSG). The present study assesses non-linear analysis of blood oxygen saturation (SaO 2 ) from nocturnal oximetry as a diagnostic test to discriminate between OSA positive and OSA negative patients. A sample of 187 referred outpatients, clinically suspected of having OSA, were studied using nocturnal oximetry performed simultaneously with complete PSG. A positive OSA diagnosis was found for 111 cases, while the remaining 76 cases were classified as OSA negative. The following oximetric indexes were obtained: cumulative time spent below a saturation of 90% (CT90), oxygen desaturation indexes of 4% (ODI4), 3% (ODI3) and 2% (ODI2), and the delta index (∆ index). SaO 2 records were subsequently processed applying two non-linear methods: central tendency measure (CTM) and Lempel-Ziv (LZ) complexity. Significant differences (p < 0.01) were found between OSA positive and OSA negative patients. Using CTM we obtained a sensitivity of 90.1% and a specificity of 82.9%, while with LZ the sensitivity was 86.5% and the specificity was 77.6%. CTM and LZ accuracy was higher than that provided by ODI4, ODI3, ODI2 and CT90. The results suggest that non-linear analysis of SaO 2 signals from nocturnal oximetry could yield useful information in OSA diagnosis.

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Section: Central Tendency Measure (Ctm)mentioning

confidence: 99%

“…With this approach, rather than defining a time series as chaotic or not chaotic, the degree of variability or chaos is evaluated (Cohen et al 1996).…”

Section: Central Tendency Measure (Ctm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear characteristics of blood oxygen saturation from nocturnal oximetry for obstructive sleep apnoea detection

Álvarez¹,

Hornero²,

Abásolo³

et al. 2006

Physiol. Meas.

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“…Efforts have been made in determining nonlinear parameters like CD for pathological signals and it has been shown that they are useful indicators of pathologies. Methods based on chaos theory have been applied in tracking HRV signals and predicting the onset events such as ventricular tachycardia detecting congestive heart failure situations [6]. A novel method based on a phase-space technique to distinguish normal and abnormal cases has been proposed for cardiovascular signals [32].…”

Section: Correlation Dimension Analysismentioning

confidence: 99%

Effect of reflexological stimulation on heart rate variability

et al. 2004

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“…Estes mesmos métodos podem ser aplicados a séries RR e usados na análise da VFC [20,21,22] para detecção de arritmias cardíacas, como fibrilação ventricular [23], entre outras anormalidades e doenças cardiovasculares [24,25,26,27]. A aplicação de métodos não lineares também pode ser feita para o estudo de outros tipos de sinais biomédicos [9].…”

Section: Processamento E Análiseunclassified

Avaliação da q-transformada de Fourier como ferramenta não linear de estudos de sinais biomédicos

Duque¹

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AgradecimentosPrimeiramente, meus mais profundos e sinceros agradecimentos a Deus, que nos presenteia com a vida e a oportunidade de aprender e evoluir neste mundo.Agradeço imensamente aos meus amados pais que sempre batalharam para proporcionar uma vida digna e honesta a nossa família e um futuro melhor para seus filhos. Agradeço também a meu querido irmão e a minha adorável namorada pela participação especial e insubstituível que têm na minha vida. Aos demais familiares que sempre torceram por mim, obrigado por tudo.Ao professor Dr. Luiz Otavio Murta Junior, meu orientador e amigo, admirável pessoa que está sempre disposto a nos ajudar, o meu sincero obrigado! Aos colegas e amigos do CSIM, quero agradecer pelos bons momentos passados diariamente em nosso laboratório, com conversas enriquecedoras e descontraídas.Meus agradecimentos também a todos os professores que compartilharam comigo um pouco de suas experiências.Agradeço a CAPES pelo apoio financeiro e também ao programa FAMB por oferecer condições para o desenvolvimento do projeto.

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Applying continuous chaotic modeling to cardiac signal analysis

Cited by 164 publications

References 14 publications

Nonlinear characteristics of blood oxygen saturation from nocturnal oximetry for obstructive sleep apnoea detection

Nonlinear characteristics of blood oxygen saturation from nocturnal oximetry for obstructive sleep apnoea detection

Effect of reflexological stimulation on heart rate variability

Avaliação da q-transformada de Fourier como ferramenta não linear de estudos de sinais biomédicos

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