Loete, F.; Simonet, A.; Fourcade, P.; Yiou, E.; Delafontaine, A.
Principal Component Analysis Enhanced with Bootstrapped Confidence Interval for the Classification of Parkinsonian Patients Using Gaussian Mixture Model and Gait Initiation Parameters. Sensors 2024, 24, 1885.
https://doi.org/10.3390/s24061885
AMA Style
Loete F, Simonet A, Fourcade P, Yiou E, Delafontaine A.
Principal Component Analysis Enhanced with Bootstrapped Confidence Interval for the Classification of Parkinsonian Patients Using Gaussian Mixture Model and Gait Initiation Parameters. Sensors. 2024; 24(6):1885.
https://doi.org/10.3390/s24061885
Chicago/Turabian Style
Loete, Florent, Arnaud Simonet, Paul Fourcade, Eric Yiou, and Arnaud Delafontaine.
2024. "Principal Component Analysis Enhanced with Bootstrapped Confidence Interval for the Classification of Parkinsonian Patients Using Gaussian Mixture Model and Gait Initiation Parameters" Sensors 24, no. 6: 1885.
https://doi.org/10.3390/s24061885
APA Style
Loete, F., Simonet, A., Fourcade, P., Yiou, E., & Delafontaine, A.
(2024). Principal Component Analysis Enhanced with Bootstrapped Confidence Interval for the Classification of Parkinsonian Patients Using Gaussian Mixture Model and Gait Initiation Parameters. Sensors, 24(6), 1885.
https://doi.org/10.3390/s24061885
