Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology

Abstract

BP can be inferred from PPG using DBN-RBM modeling techniques. The results obtained with this technology are promising, but its intrinsic variability and its wide limits of agreement do not allow clinical application at this time.

Continuous Blood Pressure Measurement From Invasive to Unobtrusive: Celebration of 200th Birth Anniversary of Carl Ludwig

“…With the ever-increasing computational power and development of big data technology, big data analysis using the machine learning method for cuffless BP measurement has gained increasing attention [99][100][101][102][103]. The general idea with this technique is to initially extract surrogate cardiovascular indexes from physiological signals, then use machine learning to train this data to adapt to the system, and finally predict BP using the trained model.…”

Mobile health in cardiology: a review of currently available medical apps and equipment for remote monitoring

“…Furthermore, it is unclear which technique the app is based on. Several articles have described methods for noninvasive continuous BP monitoring; however, it has been recognized that these methods are still prone to errors [48][49][50][51].…”

Year in review in Intensive Care Medicine 2013: I. Acute kidney injury, ultrasound, hemodynamics, cardiac arrest, transfusion, neurocritical care, and nutrition

“…Ruiz-Rodriguez et al [45] used a very innovative approach in order to see if artificial neural networks can be used to monitor BP noninvasively and continuously using pulse oximeter data. They analyzed 7,715 time periods in 707 patients.…”