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Essays in Biochemistry|April 16, 2021
Review of 3D-printing technologies for wearable and implantable bio-integrated sensorsVega Pradana Rachim, Sung-Min Park
IEEE Transactions on Biomedical Circuits and Systems|May 24, 2016
Wearable Noncontact Armband for Mobile ECG Monitoring SystemVega Pradana Rachim, Wan-Young Chung
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Compressive Sensing of Cuff-less Biosensor for Energy-Efficient Blood Pressure MonitoringVega Pradana Rachim, Wan-Young Chung
Scientific Reports|May 30, 2019
Multimodal Wrist Biosensor for Wearable Cuff-less Blood Pressure Monitoring SystemVega Pradana Rachim, Wan-Young Chung
Bio-Medical Materials and Engineering|September 18, 2014
Sleep apnea classification using ECG-signal wavelet-PCA featuresVega Pradana Rachim, Gang Li, Wan-Young Chung
Optics Express|March 17, 2019
High-accuracy VLC-based indoor positioning system using multi-level modulationNgoc Quan Pham, Vega Pradana Rachim, Wan-Young Chung
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A novel smartphone camera-LED Communication for clinical signal transmission in mHealth-rehabilitation systemVega Pradana Rachim, Jinyoung An, Pham Ngoc Quan, et al.
Optics Express|February 4, 2017
Demonstration of long-distance hazard-free wearable EEG monitoring system using mobile phone visible light communicationVega Pradana Rachim, Yubing Jiang, Hyeon-Seok Lee, et al.
NPJ Digital Medicine|October 16, 2025
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to realityMinjoo Hwang, Vega Pradana Rachim, Junyoung Yoo, et al.
IEEE Journal of Biomedical and Health Informatics|August 27, 2025
Enhanced Post-Prandial Glycemic Response Prediction in Type 2 Diabetes with Microbiome Data and Deep LearningKawon Jeong, Sun-Joon Moon, Vega Pradana Rachim, et al.
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