De Cannière, H.; Corradi, F.; Smeets, C.J.P.; Schoutteten, M.; Varon, C.; Van Hoof, C.; Van Huffel, S.; Groenendaal, W.; Vandervoort, P.
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors 2020, 20, 3601.
https://doi.org/10.3390/s20123601
AMA Style
De Cannière H, Corradi F, Smeets CJP, Schoutteten M, Varon C, Van Hoof C, Van Huffel S, Groenendaal W, Vandervoort P.
Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors. 2020; 20(12):3601.
https://doi.org/10.3390/s20123601
Chicago/Turabian Style
De Cannière, Hélène, Federico Corradi, Christophe J. P. Smeets, Melanie Schoutteten, Carolina Varon, Chris Van Hoof, Sabine Van Huffel, Willemijn Groenendaal, and Pieter Vandervoort.
2020. "Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation" Sensors 20, no. 12: 3601.
https://doi.org/10.3390/s20123601
APA Style
De Cannière, H., Corradi, F., Smeets, C. J. P., Schoutteten, M., Varon, C., Van Hoof, C., Van Huffel, S., Groenendaal, W., & Vandervoort, P.
(2020). Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation. Sensors, 20(12), 3601.
https://doi.org/10.3390/s20123601
