Academic Journal
A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis
| العنوان: | A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis |
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| المؤلفون: | Álvarez Casado, Constantino, Räsänen, Pauli, Nguyen, Le Ngu, Lämsä, Arttu, Peltola, Johannes, Bordallo Lopez, Miguel |
| المصدر: | Álvarez Casado , C , Räsänen , P , Nguyen , L N , Lämsä , A , Peltola , J & Bordallo Lopez , M 2024 , A Distributed Framework for Remote Multimodal Biosignal Acquisition and Analysis . in Digital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024 . vol. II , Springer , Communications in Computer and Information Science , vol. 2084 , pp. 127–146 , 1st Nordic Conference on Digital Health and Wireless Solutions, NCDHWS 2024 , Oulu , Finland , 7/05/24 . https://doi.org/10.1007/978-3-031-59091-7_9 |
| بيانات النشر: | Springer |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | Distributed computing architecture, Interoperability, mmWave radars, Non-contact biosignal monitoring, RGB cameras |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1007/978-3-031-59091-7_9 |
| الاتاحة: | https://cris.vtt.fi/en/publications/81fe9566-a585-46fc-a380-6249d5264445 https://doi.org/10.1007/978-3-031-59091-7_9 http://www.scopus.com/inward/record.url?scp=85193494953&partnerID=8YFLogxK |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.6206F726 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1007/978-3-031-59091-7_9 |
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