Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure
• The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions betwe...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
von Tscharner, Vinzenz [verfasserIn] |
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| Format: |
E-Artikel |
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Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
7 |
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| Übergeordnetes Werk: |
Enthalten in: Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood - Yan, Yinkun ELSEVIER, 2017, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:31 ; year:2017 ; pages:350-356 ; extent:7 |
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10.1016/j.bspc.2016.08.014 |
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| 520 | |a • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. | ||
| 520 | |a • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. | ||
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10.1016/j.bspc.2016.08.014 doi GBVA2017008000020.pica (DE-627)ELV030430704 (ELSEVIER)S1746-8094(16)30115-X DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 630 640 610 VZ von Tscharner, Vinzenz verfasserin aut Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure 2017transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. Multi scale transition Elsevier Fuzzy sample entropy Elsevier Surrogate analysis Elsevier Heart rate variability Elsevier Regularity Elsevier Complexity Elsevier Zandiyeh, Payam oth Enthalten in Elsevier Yan, Yinkun ELSEVIER Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood 2017 Amsterdam [u.a.] (DE-627)ELV020088493 volume:31 year:2017 pages:350-356 extent:7 https://doi.org/10.1016/j.bspc.2016.08.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_60 AR 31 2017 350-356 7 045F 610 |
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10.1016/j.bspc.2016.08.014 doi GBVA2017008000020.pica (DE-627)ELV030430704 (ELSEVIER)S1746-8094(16)30115-X DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 630 640 610 VZ von Tscharner, Vinzenz verfasserin aut Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure 2017transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. Multi scale transition Elsevier Fuzzy sample entropy Elsevier Surrogate analysis Elsevier Heart rate variability Elsevier Regularity Elsevier Complexity Elsevier Zandiyeh, Payam oth Enthalten in Elsevier Yan, Yinkun ELSEVIER Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood 2017 Amsterdam [u.a.] (DE-627)ELV020088493 volume:31 year:2017 pages:350-356 extent:7 https://doi.org/10.1016/j.bspc.2016.08.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_60 AR 31 2017 350-356 7 045F 610 |
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10.1016/j.bspc.2016.08.014 doi GBVA2017008000020.pica (DE-627)ELV030430704 (ELSEVIER)S1746-8094(16)30115-X DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 630 640 610 VZ von Tscharner, Vinzenz verfasserin aut Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure 2017transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. Multi scale transition Elsevier Fuzzy sample entropy Elsevier Surrogate analysis Elsevier Heart rate variability Elsevier Regularity Elsevier Complexity Elsevier Zandiyeh, Payam oth Enthalten in Elsevier Yan, Yinkun ELSEVIER Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood 2017 Amsterdam [u.a.] (DE-627)ELV020088493 volume:31 year:2017 pages:350-356 extent:7 https://doi.org/10.1016/j.bspc.2016.08.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_60 AR 31 2017 350-356 7 045F 610 |
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10.1016/j.bspc.2016.08.014 doi GBVA2017008000020.pica (DE-627)ELV030430704 (ELSEVIER)S1746-8094(16)30115-X DE-627 ger DE-627 rakwb eng 610 610 DE-600 610 VZ 630 640 610 VZ von Tscharner, Vinzenz verfasserin aut Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure 2017transfer abstract 7 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. • The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. Multi scale transition Elsevier Fuzzy sample entropy Elsevier Surrogate analysis Elsevier Heart rate variability Elsevier Regularity Elsevier Complexity Elsevier Zandiyeh, Payam oth Enthalten in Elsevier Yan, Yinkun ELSEVIER Independent influences of excessive body weight and elevated blood pressure from childhood on left ventricular geometric remodeling in adulthood 2017 Amsterdam [u.a.] (DE-627)ELV020088493 volume:31 year:2017 pages:350-356 extent:7 https://doi.org/10.1016/j.bspc.2016.08.014 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_60 AR 31 2017 350-356 7 045F 610 |
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multi-scale transitions of fuzzy sample entropy of rr-intervals and their phase-randomized surrogates: a possibility to diagnose congestive heart failure |
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Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure |
| abstract |
• The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. |
| abstractGer |
• The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. |
| abstract_unstemmed |
• The complexity and regularity of a signal is defined. • It was shown that the information about the control of the heart rate variability is largely encoded in the phase of the Fourier transformed signal. • Distinct differences were observed in the biphasic multi-scale transition transitions between controls and patients suffering from congestive heart failure. • The differences between normalized fSEn surrogates and the RR-signal show a clear fast response lasting about 3–4s followed by a long lasting trend. • The average of the outlined differences classified patients and controls with a sensitivity of 87% and specificity of 89%. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_60 |
| title_short |
Multi-scale transitions of fuzzy sample entropy of RR-intervals and their phase-randomized surrogates: A possibility to diagnose congestive heart failure |
| url |
https://doi.org/10.1016/j.bspc.2016.08.014 |
| remote_bool |
true |
| author2 |
Zandiyeh, Payam |
| author2Str |
Zandiyeh, Payam |
| ppnlink |
ELV020088493 |
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z |
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| hochschulschrift_bool |
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| author2_role |
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| doi_str |
10.1016/j.bspc.2016.08.014 |
| up_date |
2024-07-06T17:33:22.020Z |
| _version_ |
1803851873146372096 |
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7.398719 |