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• W2979666788 abstract "Continuous monitoring of respiration and heart pressure pulse waves generated by lung and heart movements is essential in the diagnosis and management of cardiovascular and lung diseases. Traditional methods in measuring these physiological signals are not convenient for long-term monitoring during daily activities and sleeping due to their use of long wires and/or face masks, and leading to patients having to spend long duration in clinics while undergoing supervised monitoring. In this paper, we present a new method to measure global chest physiological signals using small-sized smart band-age like patches placed at different locations of the chest. The introduced patches communicate with each other using human body and detect small variations in the bio-Impedance (Bio-Z) depending on the mechanical heart and lung movements, where one patch injects an AC current from one side of the chest and several Bio-Z sensors measure the voltage difference across different locations of the chest. In order to prevent usage of long wires and increase convenience for wearable applications, electrical connection between current injection and Bio-Z sensing patches are eliminated. Independent component analysis is used to separate sources of physiological observations and improve accuracy of the system. We show that the presented system can successfully detect respiration rate and heart rate with an average error of 4.86% (less than 1 breath per minute) and 1.86% (less than 2 beats per minute) respectively tested on 6 healthy subjects over 6 minutes of data collection for each subject." @default.
• W2979666788 created "2019-10-18" @default.
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• W2979666788 date "2019-07-01" @default.
• W2979666788 modified "2023-10-01" @default.
• W2979666788 title "Measurement of Chest Physiological Signals using Wirelessly Coupled Bio-Impedance Patches" @default.
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• W2979666788 doi "https://doi.org/10.1109/embc.2019.8857433" @default.
• W2979666788 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31945919" @default.
• W2979666788 hasPublicationYear "2019" @default.
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