Acoustic signal processing developments for non-invasive monitoring of vital signs and ultrasound intracranial systems

Stergios Stergiopoulos

Abstract


The evolution of innovative new acoustic signal processing algorithms and digital signal processing architectures, implemented in different medical electronics applications are discussed. The adaptive algorithms developed are extremely computationally intensive which rely on the use of Fast Fourier Transforms (FFTs). The technologies have succeeded in blood pressure monitoring of systolic-diastolic pressure in noise intense environments and non-invasive monitoring of the density variations of the brain due by intracranial ultrasound technology. It is expected that the developments would address most of the medical requirements for monitoring of vital signs for home care and hopital emergency departments.

Keywords


Acoustic noise measurement; Adaptive algorithms; Brain; Digital signal processing; Electrocardiography; Medical applications; Metabolism; Microcontrollers; Patient monitoring; Pattern recognition; Professional aspects; Ultrasonic devices; Acoustic sensors; Environmental noise; Intracranial ultrasound technology

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