2002
Journal article
Restricted
An automatic method for the recognition and classification of the A-phases of the cyclic alternating pattern
Navona C, Barcaro U, Bonanni E, Di Martino F, Maestri M, Murri L
Objective: The aim of the research has been to introduce an automatic method, simple from the mathematical and computational points of view, for the recognition and classification of the A-phases of the Cyclic Alternating Pattern. Method: The automatic method was based on the computation of five descriptors, which were derived from the EEG signal and were able to provide a meaningful data reduction. Each of them corresponded to a different frequency band. Results: The computation of these descriptors, followed by the introduction of two suitable thresholds and of simple criteria for logical discrimination, provided results with were in good agreement with those obtained with visual analysis. The method was versatile and could be applied to the study of other important microstructure phenomena by means of very small adaptations. Conclusions: The simplicity of the method lead to a better understanding and a more precise definition of the visual criteria for the recognition and classification of the microstructure phenomena.Source: CLINICAL NEUROPHYSIOLOGY, vol. 113 (issue 11), pp. 1826-1831
Navona C, Barcaro U, Bonanni E, Di Martino F, Maestri M, Murri L
Objective: The aim of the research has been to introduce an automatic method, simple from the mathematical and computational points of view, for the recognition and classification of the A-phases of the Cyclic Alternating Pattern. Method: The automatic method was based on the computation of five descriptors, which were derived from the EEG signal and were able to provide a meaningful data reduction. Each of them corresponded to a different frequency band. Results: The computation of these descriptors, followed by the introduction of two suitable thresholds and of simple criteria for logical discrimination, provided results with were in good agreement with those obtained with visual analysis. The method was versatile and could be applied to the study of other important microstructure phenomena by means of very small adaptations. Conclusions: The simplicity of the method lead to a better understanding and a more precise definition of the visual criteria for the recognition and classification of the microstructure phenomena.Source: CLINICAL NEUROPHYSIOLOGY, vol. 113 (issue 11), pp. 1826-1831
2005
Journal article
Restricted
A method for recognizing and describing the links among dream sources
Barcaro U, Cavallaro C, Navona C
A method is described for the identification of possible links between dream sources. The analysis is based on automatic recognition of word root recurrences in text files, including dream reports and associations. Graph representation of the links provides a quantitative description of their basic figuresSource: DREAMING, vol. 15 (issue 4), pp. 271-287
DOI: 10.1037/1053-0797.15.4.271
Metrics:
Barcaro U, Cavallaro C, Navona C
A method is described for the identification of possible links between dream sources. The analysis is based on automatic recognition of word root recurrences in text files, including dream reports and associations. Graph representation of the links provides a quantitative description of their basic figuresSource: DREAMING, vol. 15 (issue 4), pp. 271-287
DOI: 10.1037/1053-0797.15.4.271
Metrics:
2008
Journal article
Restricted
Usefulness of the analysis of links among dream sources in therapy
Barcaro U, Rizzi P
A study of the links among the memory sources of dreams can be carried out by means of an automatic analysis of text files including dream reports and associations. Heuristic criteria can provide plausible explanations for the existence of these links, which generally present a logical and at the same time emotional significance. The aim of this paper is to support the idea that the study of the link patterns among dream sources, in addition to being interesting from the cognitive viewpoint can be also useful for the therapeutic process. An interaction schema is described including four operators: the dreamer (patient), the therapist, the detector of possible links, and the proposer of plausible explanations. Two examples are given of application of this schema. (PsycINFO Database Record (c) 2012 APA, all rights reserved)Source: DREAMING, vol. 18 (issue 3), pp. 139-157
DOI: 10.1037/a0012899
Metrics:
Barcaro U, Rizzi P
A study of the links among the memory sources of dreams can be carried out by means of an automatic analysis of text files including dream reports and associations. Heuristic criteria can provide plausible explanations for the existence of these links, which generally present a logical and at the same time emotional significance. The aim of this paper is to support the idea that the study of the link patterns among dream sources, in addition to being interesting from the cognitive viewpoint can be also useful for the therapeutic process. An interaction schema is described including four operators: the dreamer (patient), the therapist, the detector of possible links, and the proposer of plausible explanations. Two examples are given of application of this schema. (PsycINFO Database Record (c) 2012 APA, all rights reserved)Source: DREAMING, vol. 18 (issue 3), pp. 139-157
DOI: 10.1037/a0012899
Metrics:
See at:
Dreaming 
| CNR IRIS | CNR IRIS | psycnet.apa.org
2010
Journal article
Restricted
Preliminary description of a self-similarity phenomenon in the connection patterns of dreams
Barcaro U, Rizzi P
The objective of the research was to recognize and describe a phenomenon of self-similarity in dreams, specifically in the connection patterns of dreams: These patterns were obtained by means of a linguistic analysis of data including dream reports and associations provided by the dreamer. Dreams of four patients in therapy, three for each patient, were considered. It was found that a well-defined pattern (Basic Pattern) existed at three levels: links among dream sources of a dream, connections among source clusters of a dream, and connections among different dreams of a same patient. This self-similarity pattern was meaningfully interpretable at all the three levels. Considering the small number of patients, the description and interpretation of the results should be viewed as only preliminary. However, a minimum value for the occurrence frequency of the observed phenomenon can be given with good statistical significance.Source: DREAMING, vol. 20 (issue 2), pp. 136-148
DOI: 10.1037/a0019241
Metrics:
Barcaro U, Rizzi P
The objective of the research was to recognize and describe a phenomenon of self-similarity in dreams, specifically in the connection patterns of dreams: These patterns were obtained by means of a linguistic analysis of data including dream reports and associations provided by the dreamer. Dreams of four patients in therapy, three for each patient, were considered. It was found that a well-defined pattern (Basic Pattern) existed at three levels: links among dream sources of a dream, connections among source clusters of a dream, and connections among different dreams of a same patient. This self-similarity pattern was meaningfully interpretable at all the three levels. Considering the small number of patients, the description and interpretation of the results should be viewed as only preliminary. However, a minimum value for the occurrence frequency of the observed phenomenon can be given with good statistical significance.Source: DREAMING, vol. 20 (issue 2), pp. 136-148
DOI: 10.1037/a0019241
Metrics:
See at:
Dreaming | CNR IRIS | CNR IRIS | psycnet.apa.org
2004
Journal article
Restricted
A general automatic method for the analysis of NREM sleep microstructure
Barcaro U, Bonanni E, Maestri M, Murri L, Parrino L, Terzano Mg
The NREM sleep EEG of 10 normal subjects was examined in order to recognize formal phasic events of sleep microstructure. The event identification was carried out following a three-step procedure: (1) computation of band-related descriptors derived from the EEG signal, (2) introduction of suitable thresholds and (3) application of simple logical principles, i.e. an exclusion principle and an overlapping principle.Source: SLEEP MEDICINE, vol. 5 (issue 6), pp. 567-576
DOI: 10.1016/j.sleep.2004.07.012
Metrics:
Barcaro U, Bonanni E, Maestri M, Murri L, Parrino L, Terzano Mg
The NREM sleep EEG of 10 normal subjects was examined in order to recognize formal phasic events of sleep microstructure. The event identification was carried out following a three-step procedure: (1) computation of band-related descriptors derived from the EEG signal, (2) introduction of suitable thresholds and (3) application of simple logical principles, i.e. an exclusion principle and an overlapping principle.Source: SLEEP MEDICINE, vol. 5 (issue 6), pp. 567-576
DOI: 10.1016/j.sleep.2004.07.012
Metrics:
See at:
Sleep Medicine | CNR IRIS | CNR IRIS | www.sciencedirect.com
2001
Conference article
Restricted
Analisi automatica del CAP in un paziente con infarto talamico bilaterale
Brotini S, Navona C, Di Martino F, Traino C, Barcaro U, Maestri M, Moscato G, Orlandi G, Bonanni E
Lo scopo di questo studio e stata l'analisi quantitativa, mediante una semplice procedura automatica, del cyclic alternanting pattern (CAP) in un paziente con infarto talamico bilaterale. Durante la prima settimana dopo l'ictus il paziente trascorreva la maggior parte del giorno ad occhi chiusi, in uno stato quieto, simile al sonno, caratterizzato da un'attività EEG alpha-theta. La polisonnografia notturna rilevava una marcata alterazione della fase NREM con sonno REM conservato. Nelle settimane successive le alterazioni del ciclo sonno-veglia si sono progressivamente ridotte. L'analisi automatica e stata effettuata sulle registrazioni notturne corrispondenti al settimo ed al quarantesimo giorno dopo l'ictus. II segnale EEG e stato registrato con derivazione bipolare (F3-C3), filtrato tra 0.75 e 25 Hz, campionato a 64 Hz, e analizzato su Personal Computer. Sono state esaminate epoche, prive di artefatti, ciascuna di 512 secondi, corrispondenti agli stadi NREM. Sono state analizzate le seguenti bande di frequenza: delta (0.75-4 Hz); theta (4-8 Hz); alpha (8-12 Hz), e sigma (12.5-14.5 Hz). Per ciascuna banda di frequenza sono state calcolate le ampiezze medie su intervalli di tempo rispettivamente di 64 s e di 2 s. Mentre le ampiezze medie su intervalli di 64 s forniscono descrittori macrostrutturali, le ampiezze medie su intervalli di 2 s esprimono le variazioni transitorie dell'attività di banda sovraimposte all'attività di fondo. La differenza percentuale tra i valori delle due medie da una misura normalizzata di come varia l'ampiezza dell'attività di banda in un generico istante rispetto all'attività di tondo. I valori di tale descrittore sono stati calcolati ogni 0.5 s; sono state considerate indicative di fenomeni microstrutturali connessi all'incremento transitorio delle attività di banda le epoche caratterizzate da valori del descrittore maggiori di zero con almeno un valore maggiore di uno. In questo modo si misurava immediatamente la distanza temporale tra due epoche consecutive di incremento transitorio dell'attività di banda. Dai dati emerge una concordanza tra l'analisi automatica e l'analisi visuale del CAP e pertanto la metodica illustrata, semplice nella sua definizione matematica e facile da implementare su Personal Computer, può agevolare 10 studio della microstruttura del sonno anche in condizioni di patologia del sistema nervosa centrale.
Brotini S, Navona C, Di Martino F, Traino C, Barcaro U, Maestri M, Moscato G, Orlandi G, Bonanni E
Lo scopo di questo studio e stata l'analisi quantitativa, mediante una semplice procedura automatica, del cyclic alternanting pattern (CAP) in un paziente con infarto talamico bilaterale. Durante la prima settimana dopo l'ictus il paziente trascorreva la maggior parte del giorno ad occhi chiusi, in uno stato quieto, simile al sonno, caratterizzato da un'attività EEG alpha-theta. La polisonnografia notturna rilevava una marcata alterazione della fase NREM con sonno REM conservato. Nelle settimane successive le alterazioni del ciclo sonno-veglia si sono progressivamente ridotte. L'analisi automatica e stata effettuata sulle registrazioni notturne corrispondenti al settimo ed al quarantesimo giorno dopo l'ictus. II segnale EEG e stato registrato con derivazione bipolare (F3-C3), filtrato tra 0.75 e 25 Hz, campionato a 64 Hz, e analizzato su Personal Computer. Sono state esaminate epoche, prive di artefatti, ciascuna di 512 secondi, corrispondenti agli stadi NREM. Sono state analizzate le seguenti bande di frequenza: delta (0.75-4 Hz); theta (4-8 Hz); alpha (8-12 Hz), e sigma (12.5-14.5 Hz). Per ciascuna banda di frequenza sono state calcolate le ampiezze medie su intervalli di tempo rispettivamente di 64 s e di 2 s. Mentre le ampiezze medie su intervalli di 64 s forniscono descrittori macrostrutturali, le ampiezze medie su intervalli di 2 s esprimono le variazioni transitorie dell'attività di banda sovraimposte all'attività di fondo. La differenza percentuale tra i valori delle due medie da una misura normalizzata di come varia l'ampiezza dell'attività di banda in un generico istante rispetto all'attività di tondo. I valori di tale descrittore sono stati calcolati ogni 0.5 s; sono state considerate indicative di fenomeni microstrutturali connessi all'incremento transitorio delle attività di banda le epoche caratterizzate da valori del descrittore maggiori di zero con almeno un valore maggiore di uno. In questo modo si misurava immediatamente la distanza temporale tra due epoche consecutive di incremento transitorio dell'attività di banda. Dai dati emerge una concordanza tra l'analisi automatica e l'analisi visuale del CAP e pertanto la metodica illustrata, semplice nella sua definizione matematica e facile da implementare su Personal Computer, può agevolare 10 studio della microstruttura del sonno anche in condizioni di patologia del sistema nervosa centrale.
2001
Conference article
Open Access
Analisi automatica della microstruttura dello stadio 4 del sonno umano
Di Martino F, Traino Ac, Navona C, Barcaro U, Bonanni E, Maestri M
Lo studio del sonno è uno strumento importante per capire la qualità del nostro riposo e per diagnosticare varie patologie.
Di Martino F, Traino Ac, Navona C, Barcaro U, Bonanni E, Maestri M
Lo studio del sonno è uno strumento importante per capire la qualità del nostro riposo e per diagnosticare varie patologie.
2001
Conference article
Open Access
Un metodo automatico per il riconoscimento e la classificazione delle fasi A del cyclic alternating pattern
Navona C, Barcaro U, Bonanni E, Di Martino F, Maestri M, Murri L
An abstract is not available.
Navona C, Barcaro U, Bonanni E, Di Martino F, Maestri M, Murri L
An abstract is not available.
2010
Book
Metadata Only Access
The interwoven sources of dreams
Barcaro U
The subject of this book is the study of dreaming from a specific point of view, which provides useful and enlightening results: the analysis of the complex patterns of links among the memory sources of dreams. The significance of these patterns is logical and emotional at the same time. This approach is interdisciplinary: it directly involves the fields of psychology, psychotherapy, linguistics, computer science, mathematics (graph theory, neural networks), history of psychology, literature, and motion pictures.
Barcaro U
The subject of this book is the study of dreaming from a specific point of view, which provides useful and enlightening results: the analysis of the complex patterns of links among the memory sources of dreams. The significance of these patterns is logical and emotional at the same time. This approach is interdisciplinary: it directly involves the fields of psychology, psychotherapy, linguistics, computer science, mathematics (graph theory, neural networks), history of psychology, literature, and motion pictures.
See at:
CNR IRIS
2003
Other
Open Access
Un pacchetto software per l'analisi automatica della microstruttura del sonno NREM umano
Cerri S, Barcaro U
An abstract is not available
Cerri S, Barcaro U
An abstract is not available
See at:
CNR IRIS 
| ISTI Repository | CNR IRIS
2004
Journal article
Restricted
A general automatic method for the analysis of NREM sleep microstructure
Barcaro U., Bonanni E., Maestri M., Murri L., Parrino L., Terzano M. G.
Objective: To define a unified method for the automatic recognition and quantitative description of EEG phasic events of sleep microstructure occurring during NREM sleep, particularly arousals, phase A subtypes of cyclic alternating pattern and spindles. Methods: The NREM sleep EEG of 10 normal young subjects was examined in order to recognize formal phasic events of sleep microstructure. The following 'formal' events (i.e. events defined exclusively on the basis of automatic analysis criteria) were classified: arousals, A1-phases (A-phases not including arousals) and A2- and A3-phases (A-phases including arousals). Spindle bursts, corresponding to visually recognized spindles, were also formally defined. The identification of these events was carried out following a three-step procedure: (1) computation of band-related descriptors derived from the EEG signal, (2) introduction of suitable thresholds and (3) application of simple logical principles, i.e. an exclusion principle and an overlapping principle. Results: Formal A-phases, arousals and spindle bursts showed spectral characteristics which were consistent with visual inspection. The value of the parameter Correctness for the recognition of the A-phases was 83.5%. In particular, the different physiological distribution of the A-phases in Stage 2 preceding slow wave sleep with respect to Stage 2 preceding REM sleep was confirmed. Conclusions: The proposed method provides a unified quantitative approach to the study of sleep microstructure. Visually defined events can be reliably identified by means of automatic recognition. (C) 2004 Elsevier B.V. All rights reserved.Source: SLEEP MEDICINE, vol. 5 (issue 6), pp. 567-576
DOI: 10.1016/j.sleep.2004.07.012
Metrics:
Barcaro U., Bonanni E., Maestri M., Murri L., Parrino L., Terzano M. G.
Objective: To define a unified method for the automatic recognition and quantitative description of EEG phasic events of sleep microstructure occurring during NREM sleep, particularly arousals, phase A subtypes of cyclic alternating pattern and spindles. Methods: The NREM sleep EEG of 10 normal young subjects was examined in order to recognize formal phasic events of sleep microstructure. The following 'formal' events (i.e. events defined exclusively on the basis of automatic analysis criteria) were classified: arousals, A1-phases (A-phases not including arousals) and A2- and A3-phases (A-phases including arousals). Spindle bursts, corresponding to visually recognized spindles, were also formally defined. The identification of these events was carried out following a three-step procedure: (1) computation of band-related descriptors derived from the EEG signal, (2) introduction of suitable thresholds and (3) application of simple logical principles, i.e. an exclusion principle and an overlapping principle. Results: Formal A-phases, arousals and spindle bursts showed spectral characteristics which were consistent with visual inspection. The value of the parameter Correctness for the recognition of the A-phases was 83.5%. In particular, the different physiological distribution of the A-phases in Stage 2 preceding slow wave sleep with respect to Stage 2 preceding REM sleep was confirmed. Conclusions: The proposed method provides a unified quantitative approach to the study of sleep microstructure. Visually defined events can be reliably identified by means of automatic recognition. (C) 2004 Elsevier B.V. All rights reserved.Source: SLEEP MEDICINE, vol. 5 (issue 6), pp. 567-576
DOI: 10.1016/j.sleep.2004.07.012
Metrics:
See at:
Sleep Medicine | CNR IRIS | CNR IRIS | ukpmc.ac.uk
2000
Journal article
Restricted
An automatic analysis of the cyclic alternating pattern during stage 2
Navona C, Barcaro U, Bonanni E, Maestri M, Murri L
The aim of our research was to apply a simple automatic procedure to the quantitative analysis of the cyclic alternating pattern during stage 2.Source: JOURNAL OF SLEEP RESEARCH (PRINT), vol. 9 (issue 1), p. 137
Navona C, Barcaro U, Bonanni E, Maestri M, Murri L
The aim of our research was to apply a simple automatic procedure to the quantitative analysis of the cyclic alternating pattern during stage 2.Source: JOURNAL OF SLEEP RESEARCH (PRINT), vol. 9 (issue 1), p. 137
2000
Journal article
Restricted
A quantitative decription of the cyclic alternating pattern during stage 4
Bonanni E, Barcaro U, Di Martino F, Murri L, Navona C, Traino Ac
The aim of the research was to perform a quantitative analysis of the Cyclic Alternating Pattern during stage 4 using four adimensional descriptors derived from the EEG signal which have already been shown to be helpful for the study of Cyclic Alternating Pattern during stage 2.Source: JOURNAL OF SLEEP RESEARCH (PRINT), vol. 9, p. 23
Bonanni E, Barcaro U, Di Martino F, Murri L, Navona C, Traino Ac
The aim of the research was to perform a quantitative analysis of the Cyclic Alternating Pattern during stage 4 using four adimensional descriptors derived from the EEG signal which have already been shown to be helpful for the study of Cyclic Alternating Pattern during stage 2.Source: JOURNAL OF SLEEP RESEARCH (PRINT), vol. 9, p. 23
2000
Conference article
Open Access
Sindrome dell'apice della basilare con lesione talamica paramediana: rilievi polisonnografici e potenziali evocati 'cognitivi'
Chiaramonti R, Ragazzoni A, Toscani L, Ragghianti P, Fonda C, Navona C, Barcaro U, Zaccara G
An abstract is not available.
Chiaramonti R, Ragazzoni A, Toscani L, Ragghianti P, Fonda C, Navona C, Barcaro U, Zaccara G
An abstract is not available.
1999
Journal article
Restricted
Giant somatosensory evoked potentials in different clinical conditions: scalp topography and dipole source analysis
Ragazzoni A, Ferri R, Di Russo F, Del Gracco S, Barcaro U, Navona C
An abstract is not available.Source: ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, pp. 81-89
Ragazzoni A, Ferri R, Di Russo F, Del Gracco S, Barcaro U, Navona C
An abstract is not available.Source: ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY, pp. 81-89
1995
Other
Open Access
Study of the auditory N100 component of the Post-S1 Cnv complex using parameters having the dimension of a speed
Barcaro U, Denoth F, Navona C, Versari A, Zappoli R, Zappoli F
The post-SI auditory NIOO component of the CNV complex was analyzed using parameters having the physical dimension of a speed. Both the time and the space properties of the bioelectrical signal were taken into account. These parameters were derived from maximum and minimum values of the first- and second-order time and space derivatives. Some of them presented a significant shift in their mean values when a young group was compared with a presenile group of normal subjects.
Barcaro U, Denoth F, Navona C, Versari A, Zappoli R, Zappoli F
The post-SI auditory NIOO component of the CNV complex was analyzed using parameters having the physical dimension of a speed. Both the time and the space properties of the bioelectrical signal were taken into account. These parameters were derived from maximum and minimum values of the first- and second-order time and space derivatives. Some of them presented a significant shift in their mean values when a young group was compared with a presenile group of normal subjects.
1995
Other
Open Access
Un insieme di procedure per l'analisi in frequenza del potenziale evocato visivo steady-state
Navona C, Barcaro U, Pinto F, Ragazzoni A
Nell'ambito del Progetto Finalizzato Invecchiamento e' stato implementato su Personal Computer un programma per l'analisi in frequenza del potenziale evocato visivo "steadystate" e per il suo confronto con l'EEG spontaneo. L'insieme delle procedure che costituiscono il programma rappresentano un prototipo di interfaccia videografica amichevole progettata per essere utilizzata con semplicità da utenti non informatici ed e' stato implementato in linguaggio Microsoft Visual Basic 3.0 in ambiente Windows per Personal Computers IBM compatibili. Il linguaggio di programmazione scelto pennette all'utente di gestire l'applicazione selezionando, dalla corrente finestra interattiva e con un semplice click del mouse, la funzione desiderata.
Navona C, Barcaro U, Pinto F, Ragazzoni A
Nell'ambito del Progetto Finalizzato Invecchiamento e' stato implementato su Personal Computer un programma per l'analisi in frequenza del potenziale evocato visivo "steadystate" e per il suo confronto con l'EEG spontaneo. L'insieme delle procedure che costituiscono il programma rappresentano un prototipo di interfaccia videografica amichevole progettata per essere utilizzata con semplicità da utenti non informatici ed e' stato implementato in linguaggio Microsoft Visual Basic 3.0 in ambiente Windows per Personal Computers IBM compatibili. Il linguaggio di programmazione scelto pennette all'utente di gestire l'applicazione selezionando, dalla corrente finestra interattiva e con un semplice click del mouse, la funzione desiderata.
1996
Other
Open Access
Analisi delle componenti a bassa frequenza delle risposte evocate olfattive
Barcaro U, Pinto F, Traino C, Vaccarelli A, Navona C
Sommario non disponibile
Barcaro U, Pinto F, Traino C, Vaccarelli A, Navona C
Sommario non disponibile
1994
Conference article
Restricted
Potenziali evento-correlati e tempi di reazione durante l'esecuzione di due compiti simultanei : effetto di livelli crescenti di difficoltà
Matà S, Grippo A, Navona C, Bizzarri M, Barcaro U, Pinto F
An abstract is not available.
Matà S, Grippo A, Navona C, Bizzarri M, Barcaro U, Pinto F
An abstract is not available.
1995
Conference article
Metadata Only Access
Descrizione di un pacchetto software per l'analisi in frequenza della risposta visiva steady-state
Navona C, Barcaro U, Pinto F, Ragazzoni A
In questo lavoro è stata descritta la realizzazione di un pacchetto software per l'analisi in frequenza della risposta visiva steady-state.
Navona C, Barcaro U, Pinto F, Ragazzoni A
In questo lavoro è stata descritta la realizzazione di un pacchetto software per l'analisi in frequenza della risposta visiva steady-state.
See at:
CNR IRIS