-
公开(公告)号：US20250166183A1
公开(公告)日：2025-05-22
申请号：US18953632
申请日：2024-11-20
Applicant: Worcester Polytechnic Institute
Inventor： Emmanuel Agu , Akshay Iyer , Raghav Nagpal , Apiwat Ditthapron , Ziyang Liu , Reza Sadaarti , Bengisu Tulu , Diane Strong , Peder Pedersen , Raymond Dunn , Clifford Lindsay
Abstract: A wound care treatment platform and application employs a mobile device and application (“app”) for on-site capture and gathering of wound images from a patient. The mobile device is in wireless communication with a database including health records and data and trained models of wound image classification. Based on a patient image of a wound under care, the image is analyzed for features indicative of wound health and healing progress. The mobile device invokes a plurality of models for providing an accurate and consistent assessment and treatment recommendation, including evaluating the sufficiency of the patient image gathered by the mobile device, normalizing the patient image for adverse or irregular lighting, common in patient dwellings, adjusting for a distance and angle at which the caretaker obtained the image, computing a comprehensive score of wound healing, and rendering an evaluation for referral or continuance of current outpatient care.
-
公开(公告)号：US10539549B2
公开(公告)日：2020-01-21
申请号：US15783414
申请日：2017-10-13
Applicant: WORCESTER POLYTECHNIC INSTITUTE
Inventor： Emmanuel Agu , Christina Aiello
Abstract: In a mobile sensing device, a method of detecting blood alcohol content includes receiving time-series gait data from at least one sensor of the mobile sensing device as a user walks and detecting a set of attributes associated with the time-series gait data, each attribute of the set of attributes related to the user's gait. The method includes comparing the set of attributes with a machine learning classification model learned from a training data set of attributes to determine at least one of a blood alcohol content range of the user and an impairment level of the user and outputting a notification associated with the at least one of the blood alcohol content range of the user and the impairment level of the user.
-
Patent Agency Ranking
公开(公告)号：US20180330522A1
公开(公告)日：2018-11-15
申请号：US16040046
申请日：2018-07-19
Applicant: WORCESTER POLYTECHNIC INSTITUTE
Inventor： Peder C. Pedersen , Diane M. Strong , Emmanuel Agu , Bengisu Tulu , Lei Wang , Qian He
CPC classification number: G06T7/90 , A61B5/445 , G06T7/0012 , G06T7/11 , G06T7/194 , G06T2207/10024 , G06T2207/20076 , G06T2207/20081 , G06T2207/30088
Abstract: The wound assessing method and system of the present teachings provide a convenient, quantitative mechanism for diabetic foot ulcer assessment.
-
公开(公告)号：US20250160799A1
公开(公告)日：2025-05-22
申请号：US18955638
申请日：2024-11-21
Applicant: Worcester Polytechnic Institute
Inventor： Abdulsalam Almadani , Emmanuel Agu , Abhishek Shivdeo , Atifa Sarwar , Jacques Kpodonu , Monica Ahluwalia
Abstract: A cardiovascular analysis application receives patient echocardiograms as video segments and performs an analysis for cardiovascular health based on factors related to an ejection fraction and hypertrophic cardiomyopathy based on the images in the video segment and spatiotemporal features extracted from the images through several heartbeat cycles on the video segments. The models are trained on a corpus of previous echocardiograms including labels indicative of the ejection fraction and physiological markers associated with HCM, such as the cardiac wall thickness and clarity. Based on a correspondence with the model, a result is rendered indicative of whether the patient video segment has an insufficient ejection fraction and whether a presence of HCM is exhibited.
-
公开(公告)号：US20250166837A1
公开(公告)日：2025-05-22
申请号：US18953643
申请日：2024-11-20
Applicant: Worcester Polytechnic Institute
Inventor： Emmanuel Agu , Akshay Iyer , Raghav Nagpal , Apiwat Ditthapron , Ziyang Liu , Reza Sadaarti , Bengisu Tulu , Diane Strong , Peder Pedersen , Raymond Dunn , Clifford Lindsay
IPC: G16H50/30 , G06F40/279 , G06T7/00 , G06T11/00 , G06V10/44 , G06V10/74 , G06V10/764 , G06V10/774 , G06V20/70 , G16H30/40
Abstract: A wound care treatment platform and application employs a mobile device and application (“app”) for on-site capture and gathering of wound images from a patient. The mobile device is in wireless communication with a database including health records and data and trained models of wound image classification. Based on a patient image of a wound under care, the image is analyzed for features indicative of wound health and healing progress. The mobile device invokes a plurality of models for providing an accurate and consistent assessment and treatment recommendation, including evaluating the sufficiency of the patient image gathered by the mobile device, normalizing the patient image for adverse or irregular lighting, common in patient dwellings, adjusting for a distance and angle at which the caretaker obtained the image, computing a comprehensive score of wound healing, and rendering an evaluation for referral or continuance of current outpatient care.
-
公开(公告)号：US10949965B2
公开(公告)日：2021-03-16
申请号：US16004547
申请日：2018-06-11
Applicant: WORCESTER POLYTECHNIC INSTITUTE
Inventor： Peder C. Pedersen , Diane M. Strong , Emmanuel Agu , Bengisu Tulu , Lei Wang , Qian He , Raymond M Dunn
Abstract: The wound assessing method and system provide a convenient, quantitative mechanism for diabetic foot ulcer assessment.
-
公开(公告)号：US20180357763A1
公开(公告)日：2018-12-13
申请号：US16004547
申请日：2018-06-11
Applicant: WORCESTER POLYTECHNIC INSTITUTE
Inventor： Peder C. Pedersen , Diane M. Strong , Emmanuel Agu , Bengisu Tulu , Lei Wang , Qian He
CPC classification number: G06T7/0012 , A61B5/0062 , A61B5/1032 , A61B5/1109 , A61B5/445 , A61B2560/0228 , A61B2576/00 , G06T7/11 , G06T7/194 , G06T7/90 , G06T2207/10004 , G06T2207/10024 , G06T2207/20036 , G06T2207/20076 , G06T2207/20081 , G06T2207/30088 , G06T2207/30096
Abstract: The wound assessing method and system provide a convenient, quantitative mechanism for diabetic foot ulcer assessment.
-
-
-
-
-
-
Search Results
7
records
(took 0.025 seconds)
