Massachusetts Institute of Technology

The General Hospital Corporation

Andrew Tomas Reisner

Devin B McCombie

Haruhiko Harry Asada

Thomas Heldt

Phillip Shaltis

Michael Filbin

George Cheeran Verghese

Jarone Lee

Jeremy A Pepino

Jeffrey Peterson

Max H Dunitz

Jackie Watson

Display screen or portion thereof with graphical user interface

Systems and methods are disclosed for sepsis care management. First data regarding a patient and second data regarding a clinician's treatment of a patient are received by at least one processor. The first data regarding the patient is processed to assess a likelihood that the patient would benefit from administration of each of one or more critical actions for treatment of sepsis, wherein at least one of the one or more critical actions relates to a request for at least one additional diagnostic action. A target treatment protocol, comprising a decision for each of the one or more critical actions, is determined based on the assessed likelihoods. The second data regarding a clinician's treatment of the patient is compared to the target treatment protocol and a notification is provided to the clinician if the second data is incompatible with the target treatment protocol.

System and method for sepsis care task management

A method to quantitatively predict a patient's serum lactate level, comprising measuring arterial blood pressure and heart rate from the patient, computing estimates of one or more cardiovascular parameters from the measured arterial blood pressure and heart rate, providing one or more classifiers that have been trained on a training data set including a reference set of arterial blood pressure, heart rate, and serum lactate levels and using the one or more classifiers to estimate the serum lactate level of the patient.

System and methods to predict serum lactate level

An apparatus and methods for adaptive and autonomous calibration of pulse transit time measurements to obtain arterial blood pressure using arterial pressure variation. The apparatus and methods give pulse transit time (PTT) devices an ability to self-calibrate. The methods apply a distributed model with lumped parameters, and may be implemented, for example, using pulse transit time measurements derived from a wearable photoplethysmograph (PPG) sensor architecture with an intervening pressurizing mechanism.

Calibration of pulse transit time measurements to arterial blood pressure using external arterial pressure applied along the pulse transit path

An apparatus and methods for performing a circulatory measurement on an extremity, such as a hand, of a subject. The circulatory measurement results in the derivation of an output circulatory metric that may encompass blood pressure or various other circulatory metrics. An indicator of an input circulatory metric at a locus on the extremity is measured, such as a pulse transit time, and calibrated to account for the hydrostatic component of blood pressure arising due to vertical displacement of the extremity with respect to the heart.

Wearable pulse wave velocity blood pressure sensor and methods of calibration thereof

Methods and apparatus for measuring arterial blood pressure at an extremity of a subject. Arterial blood pressure is derived from a circulatory measurement performed on an extremity of a subject and the circulatory measurement is normalized to account for the instantaneous vertical displacement of the extremity. The vertical displacement of the extremity relative to the heart of the subject is obtained using the angular orientation of the subject's extremity. An improved photoplethysmograph can discriminate light traversing the extremity from ambient light on the basis of differential response. The apparatus may have a conducting polymer actuator for applying pressure to the extremity of the subject. A pulsatile waveform from the photoplethysmographic signal may be obtained at a plurality of externally applied pressures to calibrate the photoplethysmograph.

Wearable blood pressure sensor and method of calibration

Growing community of inventors

Newton, MA, United States of America

Andrew Tomas Reisner