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Editorial

Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II

1
Department of Biotechnology and Life Sciences (DBSV), University of Insubria, 21100 Varese, Italy
2
IRCCS Fondazione don Carlo Gnocchi, 20148 Milan, Italy
3
Department of Engineering, University of Palermo, 90128 Palermo, Italy
4
Department of Information Engineering and Research Center “E. Piaggio”, University of Pisa, 56122 Pisa, Italy
5
Department of Cardiovascular, Neural and Metabolic Sciences, Istituto Auxologico Italiano, IRCCS, 20149 Milan, Italy
6
Department of Electronics Information and Bioengineering, Politecnico di Milano, 20156 Milan, Italy
*
Author to whom correspondence should be addressed.
Entropy 2025, 27(12), 1185; https://doi.org/10.3390/e27121185
Submission received: 31 October 2025 / Accepted: 18 November 2025 / Published: 21 November 2025

Excerpt

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Physical systems are widely characterized in terms of their complex dynamics in physiology and medicine to understand the ability of a living system to adapt to external perturbations [...]

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MDPI and ACS Style

Castiglioni, P.; Faes, L.; Valenza, G.; Faini, A. Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II. Entropy 2025, 27, 1185. https://doi.org/10.3390/e27121185

AMA Style

Castiglioni P, Faes L, Valenza G, Faini A. Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II. Entropy. 2025; 27(12):1185. https://doi.org/10.3390/e27121185

Chicago/Turabian Style

Castiglioni, Paolo, Luca Faes, Gaetano Valenza, and Andrea Faini. 2025. "Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II" Entropy 27, no. 12: 1185. https://doi.org/10.3390/e27121185

APA Style

Castiglioni, P., Faes, L., Valenza, G., & Faini, A. (2025). Assessing Complexity in Physiological Systems Through Biomedical Signals Analysis II. Entropy, 27(12), 1185. https://doi.org/10.3390/e27121185

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