Exploring Infant Cry

Autorentext
Carlos Alberto Reyes García Garcia is a full-time researcher in the Department of Computer Science, the head of the Bio signal Processing and Medical Computing laboratory, and is the founding Coordinator of the Graduate Program in Biomedical Sciences and Technologies as of August of 2017. at the Instituto Nacional de Astrofísica Óptica y Electrónica in Puebla, Mexico since January 2001. He holds a PhD degree in computer science with a specialty in artificial intelligence from Florida State University in Tallahassee, Florida. He is a Level II National Researcher of the National System of Researchers (SNI). He is the national president of the Thematic Network on Applied Computational Intelligence from 2016 to date, IEEE Senior Member and AMEXCOMP invited member He was President of the board of directors of the Mexican Society of Artificial Intelligence (SMIA) and now is an Emeritus Member. His areas of particular research interest are; Computational Intelligence, Bio signal Processing and Classification, Processing, Analysis and Classification of Speech, Analysis and Recognition of Baby's Cry, and Classification of Patterns in General. Surgeon, otolaryngologist from the National Autonomous University of Mexico (UNAM)
Master in Neurological Rehabilitation from the Autonomous Metropolitan University (UAM)
PhD in Anthropology from the National School of Anthropology, Mexico.
Research professor at the Autonomous Metropolitan University, Xochimilco Unit
Member of the National Academy of Medicine
SNI level I
Honorary Member of the Hungarian Society for Rehabilitation Medicine
Participation in various publications of scientific articles, books and book chapters.María Antonia Ruíz Díaz is a PhD student in Sciences and Biomedical Technologies, she has a master's degree in Computer Science from the Instituto Nacional de Astrofísica Óptica y
Electrónica (INAOE) México. Her main research project is titled Automatic Identification of
Qualitative Characteristics of Infant Crying, and her PhD research is in the area of analysis
infant cry and its application to diagnosis systems for recently born babies. She is also a
professor-researcher at the Benemérita Universidad Autónoma de Puebla, México.Dr. Cano received the Engineer Diploma (BSEE) from University of Oriente, Santiago de Cuba, Cuba in 1982, Master of Science (MS) and Doctor of Technical Science (PhD) from Czech University of Technology in 1987 and 1990 respectively. Since 82 he has held many teaching and research positions within the Department of Electro technology, University of Oriente. He was an Invited Professor at University of Valladolid (Spain) in (1992) and at UNI (Managua-Nicaragua). A PhD lecturer in the Dept. of Informatics, University of Valladolid (Spain) in February 1998. He has been involved twice as Visiting Researcher at the Artificial Intelligence Lab, VUB, Belgium (1998 and 2000). He taught Tutorial Courses and Special Talks in several international events like the CCBOL1998, 2002 (Bolivia), and SITI´2004 (Mexico). His research areas has been: electric & electronic circuit simulation, power system management, analysis & recognition of speech signals, medical applications of speech processing. Currently his main research interests are: infant cry analysis as diagnostic tool, emotion in speech signals, language acquisition and pattern recognition. He has taught some matters like Theory of Circuits, Electro technology, Computers, Speech Processing and its Applications. He has published over 35 scientific papers and reports and he has been participated in more than 36 international events and symposiums (he was one of the chairmen of the International Symposium of Social Communication sponsored by Cuban Academy of Science, also Co-Chairman of the Ibero-American Congress on Pattern Recognition CIARP´2005 sponsored by ACRP and IAPR). Member of Scientific Commission of several international events (MAVEBA (Italy), CIARP (Mexico), FIE (Cuba).

Klappentext
Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives is a comprehensive exploration of the latest medical and technical advancements in the study of infant crying. This book presents a unified approach that integrates medical insights and computational techniques for analyzing and classifying cries, aiming to enhance diagnostic capabilities. Authored by experts, it emphasizes the growing significance of cry analysis as a powerful, non-intrusive tool for identifying pathologies from the earliest stages. As the field expands, researchers and clinicians are offered innovative perspectives and practical solutions for interpreting and understanding why babies cry. The book also explores the connection between infant cries and language development, as well as the communicative importance of these signals in human interaction. Addressing gaps in routine neonatal application, the book compiles recent advancements in signal processing, Artificial Intelligence, and soft computing for cry classification. This makes it a valuable resource for biomedical researchers, doctors, and clinicians seeking to deepen their knowledge of the acoustic, neurophysiological, and linguistic aspects of infant crying.

Inhalt

1. Background and History of the Analysis of Infant Cry
2. Medical-Physical Foundations of the Analysis of Infant Cry
3. Some Aspects of the Neurophysiology of Infant Cry
4. Crying as a Pre-phonatory Event and Precursor of Speech
5. Characteristics of Infant Cry Associated with Different Pathological Diseases
6. Spectrographic Study of Crying in Cases with Congenital Hypothyroidism
7. Relevant Acoustic Characteristics for the Analysis of Infant Cry
8. The Process of Automatic Baby Cry Recognition.
   9: Quantitative Intelligent Methods of Recognition and Classification of Baby Cries for Diagnostic Purposes.
   10: Intelligent Methods for Recognition and Classification of Baby Cries for Diagnostic Purposes Using Qualitative Features.
9. Study of Infant Crying of Mexican Autochthonous Ethnic Groups.
   12: Study of Infant Crying in Relation to Babies’ Mother Languages.
   13: An Interface as a Support Tool for Early Medical Diagnosis Through Crying