Advances in Non-Invasive Blood Pressure Monitoring
Xina Quan, Junjun Liu, Thomas Roxlo, Siddharth Siddharth, Weyland Leong, Arthur Muir, So‐Min Cheong, Anoop Rao
Abstract
This paper reviews recent advances in non-invasive blood pressure monitoring and highlights the added value of a novel algorithm-based blood pressure sensor which uses machine-learning techniques to extract blood pressure values from the shape of the pulse waveform. We report results from preliminary studies on a range of patient populations and discuss the accuracy and limitations of this capacitive-based technology and its potential application in hospitals and communities.
Topics & Concepts
Blood pressureCapacitive sensingWaveformComputer sciencePulse pressureBiomedical engineeringMedicineIntensive care medicineInternal medicineTelecommunicationsOperating systemRadarBlood Pressure and Hypertension StudiesNon-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control