Blood Pressure Estimation From Photoplethysmogram Using a Spectro-Temporal Deep Neural Network

Sensors - Switzerland
doi 10.3390/s19153420
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2019English

Blood Pressure Estimation With Complexity Features From Electrocardiogram and Photoplethysmogram Signals

Optical and Quantum Electronics
Electronic EngineeringElectronicMolecular Physics,OpticalElectricalAtomicMagnetic MaterialsOptics
2020English

Experimental Feasibility Study of Estimation of the Normalized Central Blood Pressure Waveform From Radial Photoplethysmogram

Journal of Healthcare Engineering
BiotechnologySurgeryBiomedical EngineeringHealth Informatics
2015English

Estimation of Bladder Pressure and Volume From the Neural Activity of Lumbosacral Dorsal Horn Using a Long-Short-Term-Memory-Based Deep Neural Network

Scientific Reports
Multidisciplinary
2019English

Signal Mixture Estimation for Degenerate Heavy Higgses Using a Deep Neural Network

European Physical Journal C
EngineeringAstronomyPhysics
2018English

Deep-Dose: A Voxel Dose Estimation Method Using Deep Convolutional Neural Network for Personalized Internal Dosimetry

Scientific Reports
Multidisciplinary
2019English

Preventing Network Intrusion Using Deep Neural Network-A Survey

International Journal of Advance Engineering and Research Development
2017English

Neural Responses to Speech-Specific Modulations Derived From a Spectro-Temporal Filter Bank

2016English

View Synthesis From Silhouette Using Deep Convolutional Neural Network

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy