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Record Nr. |
UNISA996393248503316 |
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Autore |
Hubberthorn Richard <1628-1662.> |
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Titolo |
The immediate call to the ministry of the Gospel, witnessed by the spirit [[electronic resource] ] : vvith a true declaration of the persecution and suffering of Richard Hubberthorne, James Parnell, Ann Blayling, by Will. Pickering, who is Mayor of Cambridge. Also an answer to divers letters and mittimusses, against the said prisoners, answered; by them who are sufferers for the truth, and for the testimony of Jesus, Richard Hubberthorn, James Parnell |
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London, : Printed for Giles Calvert, at the Black-Spread-Eagle at the west end of Pauls, 1654 |
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Descrizione fisica |
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Altri autori (Persone) |
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ParnellJames <1637?-1656.> |
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Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Annotation on Thomason copy: "Septemb: 26". |
Reproduction of the original in the British Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910557601803321 |
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Autore |
Castiglioni Paolo |
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Titolo |
Assessing Complexity in Physiological Systems through Biomedical Signals Analysis |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (296 p.) |
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Soggetti |
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Mathematics & science |
Research & information: general |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at diļ¬erent scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and |
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medicine with the hope of inspiring future works advancing this fascinating area of research. |
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