公开(公告)号：US20170112379A1

公开(公告)日：2017-04-27

申请号：US15212769

申请日：2016-07-18

Applicant: Massachusetts Institute of Technology

Inventor： Albert Joseph Swiston ,  Tejash Mukesh Patel ,  Lauren Elizabeth Edwards ,  Jack Gerard Fleischman ,  William Donald Pratt ,  Anna Nichole Honko

IPC: A61B5/00 ,  A61B5/08 ,  A61B5/021

CPC classification number: G16H50/80 ,  A61B5/00 ,  A61B5/0006 ,  A61B5/0008 ,  A61B5/021 ,  A61B5/08 ,  G16H50/20

Abstract: Systems and methods are disclosed herein for predicting whether a patient has been exposed to an agent. Physiological data is recorded from the patient during a first time interval, and one or more features are extracted from the physiological data. A plurality of classifiers is identified, wherein each classifier is trained using training data for a respective specific post-exposure time interval. For each classifier and based on a respective subset of the one or more features, a patient state classification that indicates an initial prediction of whether the patient has been exposed to the agent is determined. An indication of a prediction that the patient has been exposed to the agent is provided when a number of patient state classifications indicating a positive initial prediction that the patient has been exposed to the agent exceeds a first threshold.

公开(公告)号：US10332638B2

公开(公告)日：2019-06-25

申请号：US15212769

申请日：2016-07-18

Applicant: Massachusetts Institute of Technology

Inventor： Albert Joseph Swiston ,  Tejash Mukesh Patel ,  Lauren Milechin ,  Jack Gerald Fleischman ,  William Donald Pratt ,  Anna Nichole Honko

IPC: A61B5/00 ,  G16H50/80 ,  G16H50/20 ,  A61B5/021 ,  A61B5/08

Abstract: Systems and methods are disclosed herein for predicting whether a patient has been exposed to an agent. Physiological data is recorded from the patient during a first time interval, and one or more features are extracted from the physiological data. A plurality of classifiers is identified, wherein each classifier is trained using training data for a respective specific post-exposure time interval. For each classifier and based on a respective subset of the one or more features, a patient state classification that indicates an initial prediction of whether the patient has been exposed to the agent is determined. An indication of a prediction that the patient has been exposed to the agent is provided when a number of patient state classifications indicating a positive initial prediction that the patient has been exposed to the agent exceeds a first threshold.

公开(公告)号：US10149635B2

公开(公告)日：2018-12-11

申请号：US15237405

申请日：2016-08-15

Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY

Inventor： Albert Joseph Swiston ,  Robert S. Langer ,  Tadd Bernard Hughes ,  Kerry Johnson ,  Carlo Giovanni Traverso

IPC: A61B5/00 ,  A61B5/07 ,  A61B5/0205 ,  A61B5/11 ,  A61B7/02 ,  A61B5/02 ,  A61B5/08 ,  A61B8/02

Abstract: Reliable, real-time heart and respiratory rates are key vital signs used in evaluating the physiological status in many clinical and non-clinical settings. Measuring these vital signs generally requires superficial attachment of physically or logistically obtrusive sensors to subjects that may result in skin irritation or adversely influence subject performance. Given the broad acceptance of ingestible electronics, the approach disclosed here enables vital sign monitoring internally from the gastrointestinal tract. The large animal (porcine) experiments and a robust processing disclosed herein demonstrate the feasibility of this approach. Implementing vital sign monitoring as a stand-alone technology or in conjunction with other ingestible devices has the capacity to significantly aid telemedicine, optimize performance monitoring of athletes, military service members, and first-responders, as well as provide a facile method for rapid clinical evaluation and triage.