Cester, L., Starshynov, I. , Jones, Y., Pellicori, P. , Cleland, J. and Faccio, D. (2022) Remote laser-speckle sensing of heart sounds for health assessment and biometric identification. [Data Collection]

Collection description

The paper describes a contactless, machine-learning assisted method for heart-sound identification and quantification based on the remote measurement of the reflected laser speckle from the human neck skin surface. For more details see Readme.rtf

Funding:	Engineering and Physical Sciences Research Council (EPSRC) [EP/T021020/1] Engineering and Physical Sciences Research Council (EPSRC) [EP/T00097X/1] Engineering and Physical Sciences Research Council (EPSRC) [EP/S026444/1]
College / School:	College of Science and Engineering > School of Physics and Astronomy
Date Deposited:	01 Apr 2022 14:26
URI:	https://researchdata.gla.ac.uk/id/eprint/1238
Additional details Additional details Type of data: Code, Text Collection period: From To January 2021 April 2021 Date: 1 April 2022 Date type: Publication Additional information: Funding also acknowledged from UK MOD University Defence Research Collaboration (UDRC) in Signal Processing. PP and YJ are supported by an MRC grant in precision medicine (grant number: 2285827). Resource language: EN Status: Published Data Publisher: University of Glasgow Copyright holders: University of Glasgow Last Modified: 06 Jul 2022 14:17

Available Files

Data

data.zip data.zip data.zip Visible to: Anyone Content type: Data Metadata Revision: 2 Mime-Type: application/zip License: Creative Commons: Attribution 4.0 File size: 142MB

Read me

Readme.rtf Readme.rtf Readme.rtf Visible to: Anyone Content type: Read me Metadata Revision: 2 Mime-Type: text/rtf License: Creative Commons: Attribution 4.0 File size: 52kB

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