1. M. Boeker, M.A. Riegler, H.L. Hammer, P. Halvorsen, O.B. Fasmer, P. Jakobsen, Diagnosing schizophrenia from activity records using hidden Markov model parameters, in 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) (IEEE, New York, 2021), pp. 432–437
2. N.F. Monroy, M. Altuve, Hidden Markov model-based heartbeat detector using different transformations of ECG and ABP signals, in 15th International Symposium on Medical Information Processing and Analysis, vol. 11330 (International Society for Optics and Photonics, 2020), p. 113300S
3. Q. Huang, D. Cohen, S. Komarzynski, X.-M. Li, P. Innominato, F. Lévi, B. Finkenstädt, Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data. J. R. Soc. Interface 15(139), 20170885 (2018)
4. N.F. Monroy, M. Altuve, Joint exploitation of hemodynamic and electrocardiographic signals by hidden Markov models for heartbeat detection, in Latin American Conference on Biomedical Engineering (Springer, New York, 2019), pp. 208–217
5. J. Kim, S. Singh, E.D. Thiessen, A.V. Fisher, A hidden Markov model for analyzing eye-tracking of moving objects. Behav. Res. Methods 52(3), 1225–1243 (2020)