Physiological Measurement

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  Publication Venue For

  • A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables..  42. 2021
  • Technical considerations for evaluating clinical prediction indices: a case study for predicting code blue events with MEWS..  42. 2021
  • Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation..  40:125002. 2019
  • Continuous monitoring of cerebrovascular reactivity through pulse transit time and intracranial pressure..  40:01LT01. 2019
  • Sleep-wake classification via quantifying heart rate variability by convolutional neural network..  39:085004. 2018
  • Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets..  39:035005. 2018
  • Single-lead f-wave extraction using diffusion geometry..  38:1310-1334. 2017
  • Heart beat classification from single-lead ECG using the synchrosqueezing transform..  38:171-187. 2017
  • Arterial blood flow of all abdominal-pelvic organs using Doppler ultrasound: range, variability and physiological impact..  28:1303-1316. 2007
  • Technologies for clinically relevant physiological measurements in developing countries..  28:R57-R63. 2007
  • Advances in electrical and mechanical cardiac mapping..  26:R1-14. 2005
  • Measurement reliability of highly variable physiological responses to experimentally-manipulated gas fractions..  25:1189-1197. 2004
  • A novel ultrasound technique to estimate right ventricular geometry during fibrillation..  23:269-278. 2002
  • Defibrillation and the geometry of the heart: a novel measurement with implications for defibrillation mechanisms..  22:309-321. 2001