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EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars.
Albrecht, Nils C; Langer, Dominik; Krauss, Daniel; Richer, Robert; Abel, Luca; Eskofier, Bjoern M; Rohleder, Nicolas; Koelpin, Alexander.
Afiliação
  • Albrecht NC; Institute of High-Frequency TechnologyTechnische Universität Hamburg 21073 Hamburg Germany.
  • Langer D; Institute of High-Frequency TechnologyTechnische Universität Hamburg 21073 Hamburg Germany.
  • Krauss D; Machine Learning and Data Analytics LabFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.
  • Richer R; Machine Learning and Data Analytics LabFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.
  • Abel L; Machine Learning and Data Analytics LabFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.
  • Eskofier BM; Machine Learning and Data Analytics LaboratoryFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.
  • Rohleder N; Translational Digital Health Group, Institute of AI for HealthHelmholtz Zentrum München - German Research Center for Environmental Health 85764 Neuherberg Germany.
  • Koelpin A; Chair of Health Psychology, Institute of PsychologyFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU) 91054 Erlangen Germany.
IEEE Open J Eng Med Biol ; 5: 725-734, 2024.
Article em En | MEDLINE | ID: mdl-39184969
ABSTRACT
In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact with the patient, posing limitations for long-term and unobtrusive monitoring. To address this challenge, we introduce the EmRad system, an innovative solution harnessing the capabilities of continuous-wave (CW) radar technology for the contactless detection of vital signs, including heart rate and respiratory rate. EmRad discerns itself by emphasizing miniaturization, performance, scalability, and its ability to generate large-scale datasets in various environments. This article explains the system's design, focusing on signal processing strategies and motion artifact reduction to ensure precise vital sign extraction. The EmRad system's versatility is showcased through various case studies, highlighting its potential to transform vital sign monitoring in research and clinical contexts.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Open J Eng Med Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Open J Eng Med Biol Ano de publicação: 2024 Tipo de documento: Article