Sergio Daniel Cano Ortiz | Universidad de Oriente, Santiago de Cuba (original) (raw)

Papers by Sergio Daniel Cano Ortiz

Ingenieria Energetica, 1988

MAVEBA, 2001

... cases D I. Escobedo B a,, S D. Cano O b,, E Coello F c,, L Regüeiferos P d,, L Capdevila B e,... more ... cases D I. Escobedo B a,, S D. Cano O b,, E Coello F c,, L Regüeiferos P d,, L Capdevila B e, a Eng. ... E-Mail: daniele@fie.uo.edu.cu b Ph D. Sergio D. Cano Ortiz, Faculty of Electrical Engineering, Voice Processing Group, University of Oriente, Santiago de Cuba. E-Mail: ...

Ciencia en su PC, 2010

Palabras clave: atributos acústicos del llanto, clasificación del llanto infantil, redes neuronal... more Palabras clave: atributos acústicos del llanto, clasificación del llanto infantil, redes neuronales, MFCC (Mel Frequency Cepstral Coefficients), reconocimiento de patrones.

Lecture Notes in Computer Science, 2018

The infant cry is the only means of communication of a baby and carries information about its phy... more The infant cry is the only means of communication of a baby and carries information about its physical and mental state. The analysis of the acoustic infant cry waveform opens the possibility of extracting this information, useful in supporting the diagnosis of pathologies since the first days of birth.

Lecture Notes in Networks and Systems, 2018

This project has investigated the design of a multimedia web interface using Macromedia Flash 5.0... more This project has investigated the design of a multimedia web interface using Macromedia Flash 5.0 software. The Flash movie developed includes a preloader, an introduction to the virtual environment, a login page and the interface to the tools available to the users. The need for such an interface and the development of the interface will be discussed.

Biosignal Processing and Classification Using Computational Learning and Intelligence, 2022

The paper deals with the implementation and development of web-based platform, named WebSA 2.0, o... more The paper deals with the implementation and development of web-based platform, named WebSA 2.0, oriented to management of biomedical signals within a database. It comes from the need to create a space which makes easier sharing of biomedical signals from different sources whose are under digital processing for supporting biomedical research. The use of web technology with that purpose permits to enlarge the scopes of the system, as well as to add valuable services of any I+D environment. Four types of biomedical signals are considered: cry signal, electroencephalogram signal (EEG), electrocardiogram signal (ECG) and electroculogram signal (EOG). The performance of the collaborative web-based system was tested within the intranet and for several Windows standards with satisfactory results. The WebSA 2.0 system could be useful for any research situation in which the digital processing of different biomedical signals be involved.

This paper shows some acoustic parameters in time and frequency domains obtained by digital proce... more This paper shows some acoustic parameters in time and frequency domains obtained by digital processing of infant cry data and others. The data consists in several pre-speech and speech signal of 6 children affected by Epilepsy in the Neurology Service of the Southern Children Hospital. Several ages and both sexes are considered. The samples were taken in both ways, using spontaneous form and synchronized form, by an AKAI PM-R55 tape recorder, and digitized by IBM Microcomputer with the PCVOX A/D acquisition and processing system. A speech-oriented database (BPVOZ) is also used for the infant cry, pre-speech and speech analysis. Some alterations in the parameter behaviors, mainly that’s concerned with the Fundamental Frequency, are present in the results. It is remarked the importance of to consider all these acoustics attributes in the qualitative and quantitative order as an information of highest interest in order to help in the description and analysis of this kind of neurologica...

Since more fifteen years a multidisciplinary and scientific collaboration between Group of Speech... more Since more fifteen years a multidisciplinary and scientific collaboration between Group of Speech Processing (GSP) from Universidad de Oriente and the Medical Consultation for Infant Neurodevelopment and Disability (CPNDI) of Santiago de Cuba have been successfully developed. Notwithstanding the successes and advances of the CPNDI, certain difficulties limit its action and impact as: non automation of the information flow related to the study of neurodevelopment and children’s disability, the delayed detection of some cases of infants who then make their debut with deviations in their neurodevelopment and associated disabilities. Currently, a project is being developed to deploy a Management Computer System of the CPNDI (named PMSIND). This web-based system will need another support system that will allow it to incorporate software packages and diagnostic methodology both linked to the infant cry analysis, which will facilitate an early detection of neonates at risk to be treated la...

In fact we know much about the cries of both healthy Abstract: the analysis of infant cry (also k... more In fact we know much about the cries of both healthy Abstract: the analysis of infant cry (also known simply as cry analysis) whose use has become more prevalent due to advances in areas such as digital signal processing, pattern recognition and soft computing, has changed the diagnostic ability of physicians to correctly diagnose new-borns using cry analysis. the present paper examines the results and conclusions reached by the speech processing Group (Gpv) at the universidad de oriente in cuba, in the area of acoustic characterization and the multilateral and multidisciplinary processing of the cry signal, as well as the design and implementation of a cry-based methodology for the diverse diagnosis in newborns with cns diseases. the endemic development of tools for the acquisition and processing of the cry signal, the coordination of multidisciplinary research teamwork (with areas like the logaopedics, phoniatrics, linguistics, neuro-physiology, etc) to carry out a rigorous research schedule, the implementation and testing of hybrid cry classifiers, the development of unprecedented cry-based methodology for diagnosis in newborns affected by cns diseases (with hypoxia background) as well as the induction of Web-based technology in order to create skills for people involved in the introduction and application of the cry-based methodology in hospital settings, are properly commented.

V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba, 2013

ABSTRACT In the last decade, the appearance of new alter-natives of classification of cry units i... more ABSTRACT In the last decade, the appearance of new alter-natives of classification of cry units it has brought us near to the feasible materialization of an automatic cry classifier. The paper presents a contribution based in the use of fuzzy logic combined with compression methodology yielding satisfactory results, which is added to other novel approaches recently developed such as the connectionist model and the neuro-evolutionary ones. Under the perspective of two approaches inside the area of the fuzzy logic, the Type-2 Fuzzy Set and the Fuzzy Relational Product, two experiments were developed in order to successfully validate the new approach to the infant cry classification.

Lecture Notes in Computer Science, 2004

Several investigations around the world have been postulated that the infant cry can be utilized ... more Several investigations around the world have been postulated that the infant cry can be utilized to asses the infant's status and the use of Artificial Neural Networks (ANN) has been one of the recent alternatives to classify cry signals [4,9]. A Radial Basis Function (RBF) network is implemented for infant cry classification in order to find out relevant aspects concerned with the presence of some CNS diseases. The cry episodes were obtained from 35 neonates, nineteen healthy cases and sixteen sick neonates with hypoxia-based CNS diseases. First, an intelligent searching algorithm combined with a fast nonlinear classification procedure is implemented, establishing the cry parameters which better matches the physiological status previously defined for the six control groups used as input data. Finally the optimal acoustic parameter set is chosen in order to implement a new nonlinear classifier based on a radial basis function network, an ANN-based procedure which classifies the cry units into a 2 categories, normal-or abnormal case. All the experiments were based on the physioacoustic model for cry production and the Golub's muscle control model [6,8].

The paper assumes the implementation of a cry-based classifier for neonatal diagnosis. The main c... more The paper assumes the implementation of a cry-based classifier for neonatal diagnosis. The main contribution is concerned with the articulated processing of cry signals, which includes two kinds of approaches: a threshold-based classification and ANN-based classification. ...

Lecture notes in networks and systems, Oct 15, 2022

Revista Cubana de Informática Médica, 2016

Abstract:- This work presents an infant cry automatic recognizer development, with the objective ... more Abstract:- This work presents an infant cry automatic recognizer development, with the objective of classifying three kinds of infant cries, normal, deaf and asphyxia from Mexican and Cuban recently born babies. We use extraction of acoustic features such as LPC (Linear Predictive Coefficients) and MFCC (Mel Frequency Cepstral Coefficients) for the cry’s sound waves, and a genetic feature selection system combined with a feed forward input delay neural network, trained by adaptive learning rate back-propagation. We describe the whole process; in which we include the acoustic features extraction, the hybrid system design, implementation, training and testing. We also show the results from some experiments, in which we obtain up to 94.66 % precision.