Multimodal biometric monitoring technologies drive the development of clinical assessments in the home environment

Vandendriessche, Benjamin, Godfrey, Alan and Izmailova, Elena (2021) Multimodal biometric monitoring technologies drive the development of clinical assessments in the home environment. Maturitas, 151. pp. 41-47. ISSN 0378-5122

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Official URL: https://doi.org/10.1016/j.maturitas.2021.06.009

Abstract

Biometric Monitoring Technologies (BioMeTs) attracted the attention of the health care community because of their user-friendly form factor and multi-sensor data collection capabilities. The potential benefits of multimodal remote monitoring for collecting comprehensive, longitudinal, and contextual datasets spans therapeutic areas, and both chronic and acute disease settings. Importantly, multimodal BioMeTs unlock the ability to generate rich context data to augment digital measures. Currently, the availability of devices is no longer the main factor limiting adoption but rather the ability to integrate fit-for-purpose BioMeTs reliably and safely into clinical care.

We provide a critical review of the state of art for multimodal BioMeTs in clinical care and identify three unmet clinical needs: 1) expanding the abilities of existing ambulatory unimodal BioMeTs; 2) adapting standardized clinical test protocols ("spot checks'') for use under free living conditions; and 3) novel applications to manage rehabilitation and chronic diseases. As the field is still in an early and quickly evolving state, we make practical recommendations to 1) select appropriate BioMeTs; 2) develop composite digital measures; and 3) design interoperable software to ingest, process, delegate, and visualize the data when deploying novel clinical applications. Multimodal BioMeTs will drive the evolution from in-clinic assessments to at-home data collection with a focus on prevention, personalization, and long-term outcomes by empowering health care providers with knowledge, delivering convenience, and an improved standard of care to patients.

Item Type: Article
Uncontrolled Keywords: digital medicine, wearables, multimodal assessment, digital measures
Subjects: B800 Medical Technology
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 24 Jun 2021 10:15
Last Modified: 26 Jul 2021 08:01
URI: http://nrl.northumbria.ac.uk/id/eprint/46525

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