Digital Phenotyping of Autoimmune Diseases Using Non-Contact Radio Frequency Sensing: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants
Name
3594739.3611328.pdf
Size
2.71 MB
Format
Adobe PDF
Checksum (MD5)
45290014a9a6d1de8ffe3fddf2fe5e7d
Author(s)
Boukhechba, Mehdi
Reynoso, Elena
Pandis, Ioannis
Mosca, Kenneth
Hristov, Rumen
Yue, Shichao
Ai, Yuqing
Rahul, Hariharan
Katabi, Dina
Morris, Mark
Date Issued
October 8, 2023
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
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3594739.3611328
