Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants

Author(s)
Boukhechba, Mehdi; Reynoso, Elena; Pandis, Ioannis; Mosca, Kenneth; Hristov, Rumen; ... Show more
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Date issued
2023-10-08
URI
https://hdl.handle.net/1721.1/152983
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Publisher
ACM|Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
Citation
Boukhechba, Mehdi, Reynoso, Elena, Pandis, Ioannis, Mosca, Kenneth, Hristov, Rumen et al. 2023. "Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants."
Version: Final published version
ISBN
979-8-4007-0200-6
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