Publication: Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care
Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care
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Emberger, R., Boss, J. M., Baumann, D., Seric, M., Huo, S., Tuggener, L., Keller, E., & Stadelmann, T. (2023). Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care. In C. Ceballos (Ed.), Swiss Conference on Data Science (SDS) (pp. 85–88). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/sds57534.2023.00019
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Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are built to record monitoring data and develop clinical decision support systems. These systems, however, are vulnerable to artifacts (e.g. muscle movement due to ongoing treatment), which are often indistinguishable from real and potentially dangerous signals. Video recordings could facilitate the reliable classification of biosignals using object detection (OD)
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Emberger, R., Boss, J. M., Baumann, D., Seric, M., Huo, S., Tuggener, L., Keller, E., & Stadelmann, T. (2023). Video Object Detection for Privacy-Preserving Patient Monitoring in Intensive Care. In C. Ceballos (Ed.), Swiss Conference on Data Science (SDS) (pp. 85–88). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/sds57534.2023.00019
