SEISMIC-HF 1: key findings from AHA24 and implications for remote cardiac monitoring. [PDF]
Cheema B, Tibrewala A.
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Respiratory Rate Estimation Using U-Net-Based Cascaded Framework From Electrocardiogram and Seismocardiogram Signals. [PDF]
Chan M, Ganti VG, Inan OT.
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Aerospace medicine and biology: A continuing bibliography with indexes, supplement 128, May 1974 [PDF]
This special bibliography lists 282 reports, articles, and other documents introduced into the NASA scientific and technical information system in April ...
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AI-based approach for heart failure readmission prediction using SCG, ECG, and GSR signals. [PDF]
Dhar R +6 more
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Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks. [PDF]
Rossi M +6 more
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Annual Highlights of Results from the International Space Station October 1, 2017 - October 1, 2018 [PDF]
The International Space Station (ISS) is a unique place a convergence of science, technology and human innovation that demonstrates new technologies and makes research breakthroughs that cannot be accomplished on Earth.
Diallo, Ousmane +2 more
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Wearable multimodal sensing for quantifying the cardiovascular autonomic effects of levodopa in parkinsonism. [PDF]
Berkebile JA, Inan OT, Beach PA.
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Wearable Sensors for the Monitoring of Maternal Health-A Systematic Review. [PDF]
Alim A, Imtiaz MH.
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Detection of sleep apnea using only inertial measurement unit signals from apple watch: a pilot-study with machine learning approach. [PDF]
Hayano J +4 more
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Deep Learning Predicts Cardiac Output from Seismocardiographic Signals in Heart Failure. [PDF]
Wang J, Nouraie SM, Kelly NJ, Chan SY.
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