notesum.ai

Published at December 9

PyPulse: A Python Library for Biosignal Imputation

cs.LG

cs.SE

Released Date: December 9, 2024

Authors: Kevin Gao¹, Maxwell A. Xu², James M. Rehg², Alexander Moreno¹

Aff.: ¹Independent Researcher; ²University of Illinois Urbana-Champaign

Arxiv: http://arxiv.org/pdf/2412.06382v1

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User Type	Focus Area	Use Cases
Health Researcher	Upload noisy signals to obtain cleaned dataset for downstream analysis.	PPG/ECG Imputation for HRV analysis (Benchekroun et al., 2023; Tsai et al., 2021); Wearable signal imputation for enabling Just-in-Time-Interventions (Chatterjee et al., 2020; Ertin et al., 2011; Nahum-Shani et al., 2018)
Machine Learning Researcher	Research in general imputation methodology and theory.	General temporal imputation methods (Cao et al., 2018b); Theoretical work on MAR, MCAR, MNAR mechanisms (Pedersen et al., 2017); Uncertainty Modeling to propagate uncertainty to downstream classification (Jun et al., 2020; Shukla and Marlin, 2021)
Interdisciplinary Researcher (Health and ML)	Develop novel imputation algorithms for health time-series applications.	FFT imputer and BDC transformer for pulsative signal imputation (Rahman et al., 2015; Xu et al., 2022); ECG-specific imputation (Bashir and Wei, 2018; Yang et al., 2020; Manimekalai and Kavitha, 2018); PPG quality assessment (Naeini et al., 2019; Orphanidou and Orphanidou, 2018)