The Digital and In Silico Therapeutics Revolution

Rizo, Carolina Garcia

doi:10.1007/978-3-319-61446-5_15

Cited by 1 publication

(1 citation statement)

References 18 publications

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“…This approach appears to be particularly adapted to the investigation of the clinical applications related to apnea. The complete model constitutes a typical example of integrative modeling in physiology, and adult digital patient [37]. The acute dynamics related to obstructive apneas are represented while maintaining a reduced number of parameters (151 parameters) compared to other integrated models in the literature [6], [7], [8] (with 472, 557 and 240 parameters respectively), making it more suitable to patient-specific and event-specific identifications.…”

Section: A Integrated Cardio-respiratory Model Of Adult Physiologymentioning

confidence: 99%

Modeling Patient-Specific Desaturation Patterns in Sleep Apnea

Guerrero¹,

Lerolle²,

Loiodice³

et al. 2022

IEEE Trans. Biomed. Eng.

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The physiological mechanisms involved in cardio-respiratory responses to sleep apnea events are not yet fully elucidated. A model-based approach is proposed to analyse the acute desaturation response to obstructive apneas. Methods: An integrated model of cardio-respiratory interactions was proposed and parameters were identified, using an evolutionary algorithm, on a database composed of 107 obstructive apneas acquired from 10 patients (HYPNOS clinical study). Unsupervised clustering was applied to the identified parameters in order to characterize the phenotype of each response to obstructive apneas. Results: A close match was observed between simulated oxygen saturation (SaO 2 ) and experimental SaO 2 in all identifications (median RMSE = 1.3892 %). Two clusters of parameters, associated with different dynamics related to sleep apnea and periodic breathing were obtained. Conclusion and significance: The proposed patient and event-specific model-based analysis provides understanding on specific desaturation patterns, consequent to apnea events, with potential applications for personalized diagnosis and treatment.

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