Category Archives: Blood Pressure

Algorithm predicts low blood pressure during surgery


UCLA’s Maxime Cannesson has developed an algorithm that, in a recent study, predicted  an intraoperative hypotensive event 15 minutes before it occurred in 84 percent of cases, 10 minutes before in 84 percent of cases, and five minutes before in 87 percent of cases.

The goal is early identification and treatment, to prevent complications, such as postoperative heart attack, acute kidney injury, or death.

The algorithm is based on recordings of the increase and decrease of blood pressure in the arteries during a heartbeat—including episodes of hypotension. For each heartbeat, the researchers were able to derive 3,022 individual features from the arterial pressure waveforms, producing more than 2.6 million bits of information. They then identified which of the features—when they happen together and at the same time—predict hypotension.

Cannesson said that the research “opens the door to the application of these techniques to many other physiological signals, such as EKG for cardiac arrhythmia prediction or EEG for brain function” and “could lead to a whole new field of investigation in clinical and physiological sciences and reshape our understanding of human physiology.”

Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Boston conference on September 24, 2018 at the MIT Media Lab.  Speakers include:  Rudy Tanzi – Mary Lou Jepsen – George ChurchRoz PicardNathan IntratorKeith JohnsonJuan EnriquezJohn MattisonRoozbeh GhaffariPoppy Crum – Phillip Alvelda Marom Bikson


Thin, flexible, adhesive, continuous, cuffless blood pressure sensor


Zhao Ni and Yuan-ting Zhang of the Chinese University of Hong Kong have developed an ultra-thin, waterproof, cuffless blood pressure  sensor that can be worn on the wrist, woven into clothes or bed sheets, or integrated into an earpiece. The monitor detects blood flow and monitors  health data through color reflected by skin and image depth. It provides continuous, wireless monitoring and abnormality alerts.

Professor Zhao believes that in the future, the sensor could use AI to improve itself.  She intends to  broaden its applications to include monitoring breathing rate and blood oxygen level, to also replace a finger -worn pulse oximeter. 

Join ApplySci at Wearable Tech + Digital Health + NeuroTech Boston on September 19, 2017 at the MIT Media Lab – featuring  Joi Ito – Ed Boyden – Roz Picard – George Church – Nathan Intrator –  Tom Insel – John Rogers – Jamshid Ghajar – Phillip Alvelda – Michael Weintraub – Nancy Brown – Steve Kraus – Bill Geary – Mary Lou Jepsen – Daniela Rus

Preferred registration rates available through Friday, June 23rd