Article Versions Notes

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

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

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