Literature DB >> 25168777

A new integrated instrumental approach to autonomic nervous system assessment.

I Corazza1, G Barletta2, P Guaraldi2, A Cecere2, G Calandra-Buonaura2, E Altini3, R Zannoli3, P Cortelli2.   

Abstract

BACKGROUND AND OBJECTIVES: The autonomic nervous system (ANS) regulates involuntary body functions and is commonly evaluated by measuring reflex responses of systolic and diastolic blood pressure (BP) and heart rate (HR) to physiological and pharmacological stimuli. However, BP and HR values may not sufficient be to explain specific ANS events and other parameters like the electrocardiogram (ECG), BP waves, the respiratory rate and the electroencephalogram (EEG) are mandatory. Although ANS behaviour and its response to stimuli are well-known, their clinical evaluation is often based on individual medical training and experience. As a result, ANS laboratories have been customized, making it impossible to standardize procedures and share results with colleagues. The aim of our study was to build a powerful versatile instrument easy-to-use in clinical practice to standardize procedures and allow a cross-analysis of all the parameters of interest for ANS evaluation.
METHODS: The new ANScovery System developed by neurologists and technicians is a two-step device: (1) integrating physiological information from different already existing commercial modules, making it possible to cross-analyse, store and share data; (2) standardizing procedures by an innovative tutor monitor able to guide the patient throughout ANS testing. RESULTS AND
CONCLUSIONS: The daily use of the new ANScovery System in clinical practice has proved it is a versatile easy to use instrument. Standardization of the manoeuvres and step-by-step guidance throughout the procedure avoid repetitions and allow intra and inter-patient data comparison.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Autonomic nervous system; Cardiovascular reflexes; Integrated solution; Signal analysis

Mesh:

Year:  2014        PMID: 25168777     DOI: 10.1016/j.cmpb.2014.08.002

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 in total

1.  From Autonomic Nervous System Evaluation to a Novel Paradigm for Scientific Research, Clinical Practice and Economic Development.

Authors:  Ivan Corazza; Walter Struhal; Christoph Mahringer; Giorgio Barletta; Pietro Cortelli
Journal:  J Med Syst       Date:  2016-08-13       Impact factor: 4.460

2.  Do manual therapies have a specific autonomic effect? An overview of systematic reviews.

Authors:  Sonia Roura; Gerard Álvarez; Ivan Solà; Francesco Cerritelli
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

3.  Cognitive profile in idiopathic autonomic failure: relation with white matter hyperintensities and neurofilament levels.

Authors:  Ilaria Cani; Luisa Sambati; Fiorina Bartiromo; Gian Maria Asioli; Simone Baiardi; Laura M B Belotti; Giulia Giannini; Pietro Guaraldi; Corinne Quadalti; Luciano Romano; Raffaele Lodi; Piero Parchi; Pietro Cortelli; Caterina Tonon; Giovanna Calandra-Buonaura
Journal:  Ann Clin Transl Neurol       Date:  2022-05-18       Impact factor: 5.430

4.  Post-operative benefits of animal-assisted therapy in pediatric surgery: a randomised study.

Authors:  Valeria Calcaterra; Pierangelo Veggiotti; Clara Palestrini; Valentina De Giorgis; Roberto Raschetti; Massimiliano Tumminelli; Simonetta Mencherini; Francesca Papotti; Catherine Klersy; Riccardo Albertini; Selene Ostuni; Gloria Pelizzo
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

  4 in total

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