Electrical bioimpedance in the era of artificial intelligence
Author:
Affiliation:
1. Department of Physics, University of Oslo , Oslo , Norway
2. The Intervention Centre, Oslo University Hospital , Oslo , Norway
3. Department of Clinical and Biomedical Engineering, Oslo University Hospital , Oslo , Norway
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/joeb-2024-0001
Reference21 articles.
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3. Kireev D, Sel K, Ibrahim B, Kumar N, Akbari A, Jafari R and Akinwande D. Continuous Cuffless Monitoring of Arterial Blood Pressure via Graphene Bioimpedance Tattoos. Nat. Nanotechnol. 2022 Aug; 17:864–70. DOI: 10.1038/s41565-022-01145-w
4. Nematollahi MA, Askarinejad A, Asadollahi A, Bazrafshan M, Sarejloo S, Moghadami M, Sasannia S, Farjam M, Homayounfar R, Pezeshki B, Amini M, Roshanzamir M, Alizadehsani R, Bazrafshan H, Bazrafshan drissi H, Tan RS, Acharya UR and Islam MSS. A Cohort Study on the Predictive Capability of Body Composition for Diabetes Mellitus Using Machine Learning. J Diabetes Metab Disord 2023 Nov. DOI: 10.1007/s40200-023-01350-x
5. Sanai F, Sahid AS, Huvanandana J, Spoa S, Boyle LH, Hribar J, Wang DTY, Kwan B, Colagiuri S, Cox SJ and Telfer TJ. Evaluation of a Continuous Blood Glucose Monitor: A Novel and Non-Invasive Wearable Using Bioimpedance Technology. J Diabetes Sci Technol 2023 Mar; 17:336–44. DOI: 10.1177/19322968211054110
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1. Enhancement of Sensitivity in Electrical Bioimpedance Measurements Using Contrast Agents;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02
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