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2024
Event Prediction in HFpEF Using Machine Learning: Will This Promising Model Be Applied in Practice? (2024)JACC: Asia (E-pub ahead of print/First online). Valk, J., John, A. & Schuuring, M. J.https://doi.org/10.1016/j.jacasi.2024.10.002Integrating implementation during the conceptualization and early development of health technology innovations: the RECENTRE program (2024)[Contribution to conference › Abstract] 38th Annual Conference of the European Health Psychology Society, EHPS 2024. Roosink, M., Şahin, Ö., John, A., Wan, M., Berendsen, A., Austin, J., Winkens, L., Witteveen, A. & Verdaasdonk, R. M.Home Monitoring of late effects after breast cancer to enable early detection (2024)Supportive care in cancer, 32, S147. Article 434. Witteveen, A., H.G. Loosveld, L. & John, A.https://doi.org/10.1007/s00520-024-08541-zExploring the potential of using Digital Phenotyping for monitoring late effects after breast cancer (2024)[Contribution to conference › Abstract] 13th Supporting Health by Technology Conference 2024. John, A., Reus, J. & Witteveen, A.
2023
An evaluation of ECG data fusion algorithms for wearable IoT sensors (2023)Information Fusion, 96, 237-251. John, A., Padinjarathala, A., Doheny, E., Cardiff, B. & John, D.https://doi.org/10.1016/j.inffus.2023.03.017
2021
Multimodal Multiresolution Data Fusion Using Convolutional Neural Networks for IoT Wearable Sensing (2021)IEEE Transactions on Biomedical Circuits and Systems, 15(6), 1161-1173. John, A., Kumar Nundy, K., Cardiff, B. & John, D.https://doi.org/10.1109/TBCAS.2021.3134043SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches (2021)In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1961-1964). John, A., Kumar Nundy, K., Cardiff, B. & John, D.https://doi.org/10.1109/EMBC46164.2021.9631037Adaptive Savitzky-Golay Filtering in Non-Gaussian Noise (2021)IEEE transactions on signal processing, 69, 5021-5036. John, A., Sadasivan, J. & Seelamantula, C. S.https://doi.org/10.1109/TSP.2021.3106450A multimodal data fusion technique for heartbeat detection in wearable IoT sensors (2021)IEEE Internet of Things Journal, 9(3), 2071-2082. John, A., Redmond, S., Cardiff, B. & John, D.https://doi.org/10.1109/JIOT.2021.3093112A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors (2021)In 2021 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 1-5) (Proceedings IEEE International Symposium on Circuits and Systems (ISCAS); Vol. 2021). IEEE. John, A., Cardiff, B. & John, D.https://doi.org/10.1109/ISCAS51556.2021.9401300A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors (2021)[Working paper › Preprint]. ArXiv.org. John, A., Cardiff, B. & John, D.
2020
An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors (2020)In 2020 27th IEEE International Conference on Electronics, Circuits and Systems (ICECS). John, A., Ullah, S., Kumar, A., Cardiff, B. & John, D.https://doi.org/10.1109/icecs49266.2020.9294859A Generalized Signal Quality Estimation Method for IoT Sensors (2020)In 2020 IEEE International Symposium on Circuits and Systems (ISCAS). John, A., Cardiff, B. & John, D.https://doi.org/10.1109/ISCAS45731.2020.9180546
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