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A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis
Wireless sensing systems are required for continuous health monitoring and data collection. It allows for patient data collection in real time rather than through time-consuming and expensive hospital or lab visits. This technology employs wearable sensors, signal processing, and wireless data trans...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422350/ https://www.ncbi.nlm.nih.gov/pubmed/37571572 http://dx.doi.org/10.3390/s23156790 |
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author | Moon, Kee S. Lee, Sung Q |
author_facet | Moon, Kee S. Lee, Sung Q |
author_sort | Moon, Kee S. |
collection | PubMed |
description | Wireless sensing systems are required for continuous health monitoring and data collection. It allows for patient data collection in real time rather than through time-consuming and expensive hospital or lab visits. This technology employs wearable sensors, signal processing, and wireless data transfer to remotely monitor patients’ health. The research offers a novel approach to providing primary diagnostics remotely with a digital health system for monitoring pulmonary health status using a multimodal wireless sensor device. The technology uses a compact wearable with new integration of acoustics and biopotentials sensors to monitor cardiovascular and respiratory activity to provide comprehensive and fast health status monitoring. Furthermore, the small wearable sensor size may stick to human skin and record heart and lung activities to monitor respiratory health. This paper proposes a sensor data fusion method of lung sounds and cardiograms for potential real-time respiration pattern diagnostics, including respiratory episodes like low tidal volume and coughing. With a p-value of 0.003 for sound signals and 0.004 for electrocardiogram (ECG), preliminary tests demonstrated that it was possible to detect shallow breathing and coughing at a meaningful level. |
format | Online Article Text |
id | pubmed-10422350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104223502023-08-13 A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis Moon, Kee S. Lee, Sung Q Sensors (Basel) Article Wireless sensing systems are required for continuous health monitoring and data collection. It allows for patient data collection in real time rather than through time-consuming and expensive hospital or lab visits. This technology employs wearable sensors, signal processing, and wireless data transfer to remotely monitor patients’ health. The research offers a novel approach to providing primary diagnostics remotely with a digital health system for monitoring pulmonary health status using a multimodal wireless sensor device. The technology uses a compact wearable with new integration of acoustics and biopotentials sensors to monitor cardiovascular and respiratory activity to provide comprehensive and fast health status monitoring. Furthermore, the small wearable sensor size may stick to human skin and record heart and lung activities to monitor respiratory health. This paper proposes a sensor data fusion method of lung sounds and cardiograms for potential real-time respiration pattern diagnostics, including respiratory episodes like low tidal volume and coughing. With a p-value of 0.003 for sound signals and 0.004 for electrocardiogram (ECG), preliminary tests demonstrated that it was possible to detect shallow breathing and coughing at a meaningful level. MDPI 2023-07-29 /pmc/articles/PMC10422350/ /pubmed/37571572 http://dx.doi.org/10.3390/s23156790 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Moon, Kee S. Lee, Sung Q A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis |
title | A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis |
title_full | A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis |
title_fullStr | A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis |
title_full_unstemmed | A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis |
title_short | A Wearable Multimodal Wireless Sensing System for Respiratory Monitoring and Analysis |
title_sort | wearable multimodal wireless sensing system for respiratory monitoring and analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422350/ https://www.ncbi.nlm.nih.gov/pubmed/37571572 http://dx.doi.org/10.3390/s23156790 |
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