A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis

Constantino Álvarez Casado (Corresponding author), Pauli Räsänen, Le Ngu Nguyen, Arttu Lämsä, Johannes Peltola, Miguel Bordallo Lopez

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

Abstract

In recent times, several studies have presented single-modality systems for non-contact biosignal monitoring. While these systems often yield estimations correlating with clinical-grade devices, their practicality is limited due to constraints in real-time processing, scalability, and interoperability. Moreover, these studies have seldom explored the combined use of multiple modalities or the integration of various sensors. Addressing these gaps, we introduce a distributed computing architecture designed to remotely acquire biosignals from both radars and cameras. This architecture is supported by conceptual blocks that distribute tasks across sensing, computing, data management, analysis, communication, and visualization. Emphasizing interoperability, our system leverages RESTful APIs, efficient video streaming, and standardized health-data protocols. Our framework facilitates the integration of additional sensors and improves signal analysis efficiency. While the architecture is conceptual, its feasibility has been evaluated through simulations targeting specific challenges in networked remote photoplethysmography (rPPG) systems. Additionally, we implemented a prototype to demonstrate the architectural principles in action, with modules and blocks operating in independent threads. This prototype specifically involves the analysis of biosignals using mmWave radars and RGB cameras, illustrating the potential for the architecture to be adapted into a fully distributed system for real-time biosignal processing.
Original languageEnglish
Title of host publicationDigital Health and Wireless Solutions
Subtitle of host publicationFirst Nordic Conference, NCDHWS 2024
PublisherSpringer
Pages127–146
Number of pages20
VolumeII
ISBN (Electronic)978-3-031-59091-7
ISBN (Print)978-3-031-59090-0
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Article in a conference publication
Event1st Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2024 - Hotel Lasaretti, Oulu, Finland
Duration: 7 May 20248 May 2024
https://nordic-digihealth.com/welcome/

Publication series

SeriesCommunications in Computer and Information Science
Volume2084
ISSN1865-0929

Conference

Conference1st Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2024
Country/TerritoryFinland
CityOulu
Period7/05/248/05/24
Internet address

Funding

This research was supported by the Research Council of Finland (former Academy of Finland) 6G Flagship Programme (Grant Number: 346208) and PROFI5 HiDyn (Grant Number: 326291).

Keywords

  • Distributed computing architecture
  • Interoperability
  • mmWave radars
  • Non-contact biosignal monitoring
  • RGB cameras

Fingerprint

Dive into the research topics of 'A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis'. Together they form a unique fingerprint.

Cite this