Respiratory Waveform Estimation From Multiple Accelerometers: An Optimal Sensor Number and Placement Analysis

Volume: 23, Issue: 4, Pages: 1507 - 1515
Published: Jul 1, 2019
Abstract
Respiratory patterns are commonly measured to monitor and diagnose cardiovascular, metabolic, and sleep disorders. Electronic devices such as masks used to record respiratory waveforms usually require medical staff support and obstruct the patients' breathing, causing discomfort. New techniques are being investigated to overcome such limitations. An emerging approach involves accelerometers to estimate the respiratory waveform based on chest...
Paper Details
Title
Respiratory Waveform Estimation From Multiple Accelerometers: An Optimal Sensor Number and Placement Analysis
Published Date
Jul 1, 2019
Volume
23
Issue
4
Pages
1507 - 1515
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