Is it a good time to survey you? Cognitive load classification from blood volume pulse

Aneta Lisowska, Szymon Wilk, Mor Peleg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The CAPABLE project aims to improve the wellbeing of cancer patients managed at home via a mobile Coaching System recommending physical and mental health interventions. Patient reported outcomes are important for evaluation of the efficacy of these interventions. Nevertheless a large number of surveys might be overwhelming to patients. To understand the cognitive demand caused by the surveys and to find the adequate time to prompt patients to complete them we carried out a feasibility study. In this study we developed a machine learning cognitive load detector from blood volume pulse (BVP) captured by a photoplethysmography (PPG) signal. PPG sensors are available on consumer-grade smartwatches, which we will use in our Coaching System. We found that personalised 1D convolutional neural networks trained on raw BVP signal performed better in binary high vs low cognitive load classification than the personalised Support Vector Machines trained with heart rate variability and BVP features. We investigated if the further improvements can be obtained by teacher-student semi-supervised model training, nevertheless the performance gains were not notable. In the future we will include additional context information that might aid cognitive load estimation and drive both survey design as well as the timing of the prompts.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 34th International Symposium on Computer-Based Medical Systems, CBMS 2021
EditorsJoao Rafael Almeida, Alejandro Rodriguez Gonzalez, Linlin Shen, Bridget Kane, Agma Traina, Paolo Soda, Jose Luis Oliveira
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-141
Number of pages5
ISBN (Electronic)9781665441216
DOIs
StatePublished - Jun 2021
Event34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021 - Virtual, Online
Duration: 7 Jun 20219 Jun 2021

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2021-June
ISSN (Print)1063-7125

Conference

Conference34th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2021
CityVirtual, Online
Period7/06/219/06/21

Bibliographical note

Funding Information:
CAPABLE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 87505

Publisher Copyright:
© 2021 IEEE.

Keywords

  • BVP
  • Classification
  • Cognitive load
  • mHealth

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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