A 24-channel three-stage SiGe preamplifier achieves 0.35 nV/sqrt(Hz) voltage noise density, 21.11 mV/fC charge gain, 542 MHz bandwidth, 0.14 fC ENC, and SNR of 73 in He:iC4H10 gas for dN/dx measurements in drift tubes.
Smartwatch telemetry validation for physiological assessment in ambulatory environments,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Deep autoencoders outperform PCA and VAE variants on a composite of reconstruction MSE and interpretability metrics when reducing runner wearable data to a single latent performance score.
citing papers explorer
-
A 24-Channel Ultra-Low-Noise Preamplifier for dN/dx Measurements with Drift Tube Detectors
A 24-channel three-stage SiGe preamplifier achieves 0.35 nV/sqrt(Hz) voltage noise density, 21.11 mV/fC charge gain, 542 MHz bandwidth, 0.14 fC ENC, and SNR of 73 in He:iC4H10 gas for dN/dx measurements in drift tubes.
-
Autoencoder Architectures for Athlete Performance Scoring from Wearable Telemetry
Deep autoencoders outperform PCA and VAE variants on a composite of reconstruction MSE and interpretability metrics when reducing runner wearable data to a single latent performance score.