Exploring Infant Cry
Medical and Technical Analysis and Signal Processing Perspectives
- 1st Edition - November 1, 2025
- Imprint: Academic Press
- Authors: Carlos Alberto Reyes Garcia, Mario Mandujano-Valdez, Maria Antonia Ruiz Diaz, Sergio Daniel Cano Ortiz
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 8 3 4 7 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 8 3 4 8 - 9
Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together the most advanced medical and technical knowledge in the study of infant… Read more
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Request a sales quoteExploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together the most advanced medical and technical knowledge in the study of infant crying. This book includes medical, technical, and computational approaches to cry processing for classification and diagnostic purposes. The book is written by medical and technical experts in Infant Cry processing and is an important step forward for research dealing with the process and interpretation of crying from both medical and technical perspectives. The number of research groups dedicated to this area has been growing, and with more research emerging it will be possible to use crying analysis as a powerful non-intrusive diagnostic tool for a large number of pathologies from the time they begin to appear, as well as for determining the cause of the crying in such a way as to tell parents the various reasons why a baby is crying. Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives presents the advances of international groups of researchers where normal and pathological patterns of infant crying are studied, the possibilities of cry analysis for neonatal diagnosis, as well as perspectives on the development of this emerging field of research. The links of a baby’s first cries with the formation of language are addressed in the volume, as well as the communicative potential of the crying signal that makes this attribute a primary part of the vast and complex environment of human communication. Although the analysis of infant crying has received the attention of scientists and scholars of crying from diverse and varied approaches for more than 50 years, it continues to be an open topic with multiple unsolved or sufficiently investigated aspects, mainly in the area of routine applications to neonatal diagnosis.
Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together for the first time the most advanced medical and technical knowledge on the study of crying babies. Considering on one hand the most important information as a diagnostic element, from the medical point of view, along with that provided by the technological field in order to automate acoustic processing, extraction of the most distinctive features, as well as recognition of outstanding patterns and their classification by type of pathology or cause of crying. These provide informative support tools for biomedical researchers, doctors, and clinicians. As a contribution to the technological support, a notable aspect of the book is the authors’ compilation of the most recent approaches to the classification of infant crying in correspondence with the important advances achieved in the field of signal processing, Artificial Intelligence, and soft computing. Readers of the book will find it to be an effective way to discover the foundations of the analysis of infant crying, as well as the various approaches and perspectives that have made it possible to advance the understanding of crying as an acoustic, neurophysiological, communicative, and linguistic phenomenon.
Exploring Infant Cry: Medical and Technological Analysis and Signal Processing Perspectives brings together for the first time the most advanced medical and technical knowledge on the study of crying babies. Considering on one hand the most important information as a diagnostic element, from the medical point of view, along with that provided by the technological field in order to automate acoustic processing, extraction of the most distinctive features, as well as recognition of outstanding patterns and their classification by type of pathology or cause of crying. These provide informative support tools for biomedical researchers, doctors, and clinicians. As a contribution to the technological support, a notable aspect of the book is the authors’ compilation of the most recent approaches to the classification of infant crying in correspondence with the important advances achieved in the field of signal processing, Artificial Intelligence, and soft computing. Readers of the book will find it to be an effective way to discover the foundations of the analysis of infant crying, as well as the various approaches and perspectives that have made it possible to advance the understanding of crying as an acoustic, neurophysiological, communicative, and linguistic phenomenon.
- Presents the research advances in studying normal developmental as well as pathological patterns of infant cry.
- Introduces readers to the medical and physiological foundations of infant cry, including neurophysiology and a spectrographic study of infant cry in cases with congenital hypothyroidism.
- Discusses the relationship of infant cry characteristics to the child’s mother language.
- Investigates the acoustic characteristics for analysis of infant cry, including signal processing.
- Presents AI and soft computing techniques for recognition and classification of infant cry for diagnostics, clinical support, and research.
Biomedical engineers, computer scientists, biomedical and clinical researchers as well as biomedical and clinical professionals who are interested in pursuing further studies in the field of neonatal research on the characteristics of infant cry
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.
11. 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
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.
11. 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
- Edition: 1
- Published: November 1, 2025
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780443383472
- eBook ISBN: 9780443383489
CR
Carlos Alberto Reyes Garcia
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.
Affiliations and expertise
Full-Time Researcher, Department of Computer Science, Instituto Nacional de Astrofisica Optica y Electronica, Puebla, MexicoMM
Mario Mandujano-Valdez
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.
Affiliations and expertise
Autonomous Metropolitan University, Xochimilco Unit, MexicoMD
Maria Antonia Ruiz Diaz
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.
Affiliations and expertise
Benemérita Universidad Autónoma de Puebla, MexicoSO
Sergio Daniel Cano Ortiz
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).
Affiliations and expertise
Universidad de Oriente, Santiago de Cuba, Cuba