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公开(公告)号:US12104958B2
公开(公告)日:2024-10-01
申请号:US17777091
申请日:2020-11-16
Applicant: Northeastern University
Inventor: Swastik Kar , Davoud Hejazi , Sarah Ostadabbas
CPC classification number: G01J3/462 , G01J3/513 , G01J2003/1213
Abstract: Devices and methods of the present technology utilize wavelength-dependent transmittance of 2D materials to identify the wavelength of an electromagnetic radiation. A wide range of 2D materials can be used, making possible the use of the technology over a large portion of the electromagnetic spectrum, from gamma rays to the far infrared. When combined with appropriate algorithms and artificial intelligence, the technology can identify the wavelength of one or more monochromatic sources, or can identify color through the use of a training set. When applied in an array format, the technology can provide color imaging or spectral imaging using different regions of the electromagnetic spectrum.
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公开(公告)号:US12226203B2
公开(公告)日:2025-02-18
申请号:US17831993
申请日:2022-06-03
Applicant: Northeastern University
Inventor: Sarah Ostadabbas , Shuangjun Liu
Abstract: Provided herein are systems and methods for estimating contact pressure of a human lying on a surface including one or more imaging devices having imaging sensors oriented toward the surface, a processor and memory, including a trained model for estimating human contact pressure trained with a dataset including a plurality of human lying poses including images generated from at least one of a plurality of imaging modalities including at least one of a red-green-blue modality, a long wavelength infrared modality, a depth modality, or a pressure map modality, wherein the processor can receive one or more images from the imaging devices of the human lying on the surface and a source of one or more physical parameters of the human to determine a pressure map of the human based on the one or more images and the one or more physical parameters.
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公开(公告)号:US20240090810A1
公开(公告)日:2024-03-21
申请号:US18469782
申请日:2023-09-19
Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION , UPMC , NORTHEASTERN UNIVERSITY
Inventor: Mary L. Woody , Murat Akcakaya , Sarah Ostadabbas , Rebecca Price , Xiaofei Huang , Richard T. Gall , Anna Wears , Nastasia O. McDonald , Jennifer Mak
CPC classification number: A61B5/168 , A61B5/378 , A61B5/6803 , A61B5/7257 , A61B90/36 , A61B2090/365
Abstract: A neurofeedback system includes an EEG apparatus, a presentation apparatus and a controller. The controller is configured to: (i) cause the presentation apparatus to display an overlaid image to the user that comprises a first image flickering at a first frequency and a second image flickering at a second frequency different than the first frequency, the first image being an affective distractor stimulus image and the second image being a task-relevant stimulus image, (ii) receive from the EEG apparatus a number of first steady-state visual evoked potential (SSVEP) signals generated in response the first image of the overlaid image and a number of second SSVEP signals generated in response the second image of the overlaid image, and (iii) calculate feedback indicative of how much attention of the was user allocated to the task-relevant stimulus image versus how much attention of the user was allocated to the affective distractor stimulus image.
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公开(公告)号:US12288360B2
公开(公告)日:2025-04-29
申请号:US17403933
申请日:2021-08-17
Applicant: Northeastern University
Inventor: Sarah Ostadabbas , Shuangjun Liu , Xiaofei Huang , Nihang Fu
Abstract: Methods and systems for providing a dataset of human in-bed poses include simultaneously gathered images of in-bed poses of humans from imaging modalities including red-green-blue (RGB) and one or more of long wavelength infrared (LWIR), depth imaging, and pressure mapping. The images are obtained under a lighting condition and a cover condition. The dataset can be used to train a model of estimating human in-bed poses and for methods of estimating human in-bed poses. Methods and systems of estimating three-dimensional human poses from two-dimensional input images are provided.
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公开(公告)号:US20250032044A1
公开(公告)日:2025-01-30
申请号:US18714863
申请日:2023-03-30
Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION , NORTHEASTERN UNIVERSITY , THE UNITED STATES GOVERNMENT AS REPRESENTED BY THE DEPT. OF VETERANS AFFAIRS
Inventor: Murat Akcakaya , Deniz Kocanaogullari , Emily Grattan , George F. Wittenberg , Jennifer Mak , Sarah Ostadabbas , Xiaofei Huang
Abstract: A method of determining an extent of visual spatial neglect of a patient includes providing a software-based test to the patient via a presentation apparatus positioned on the head of the patient and having a display device positioned close and in front of the eyes of the patient. EEG information is collected from the patient during the test via an EEG apparatus positioned on the head of the patient. Portions of the EEG information collected during the test are used to determine the extent of the visual spatial neglect of the patient. An indication of the extent of the visual spatial neglect of the patient is provided.
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公开(公告)号:US11222437B2
公开(公告)日:2022-01-11
申请号:US16778459
申请日:2020-01-31
Applicant: Northeastern University
Inventor: Sarah Ostadabbas , Shuangjun Liu
Abstract: Non-contact methods and systems are disclosed for estimating an in-bed human pose. The method includes the steps of: (a) capturing thermal imaging data of a human subject lying on a bed using a long wavelength infrared camera positioned above the human subject; (b) transmitting the thermal imaging data to a computer system; and (c) processing the thermal imaging data by the computer system using a model to estimate the pose of the human subject, the model comprising a machine learning inference model trained on a training dataset of a plurality of in-bed human poses.
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公开(公告)号:US20200265602A1
公开(公告)日:2020-08-20
申请号:US16778459
申请日:2020-01-31
Applicant: Northeastern University
Inventor: Sarah Ostadabbas , Shuangjun Liu
Abstract: Non-contact methods and systems are disclosed for estimating an in-bed human pose. The method includes the steps of: (a) capturing thermal imaging data of a human subject lying on a bed using a long wavelength infrared camera positioned above the human subject; (b) transmitting the thermal imaging data to a computer system; and (c) processing the thermal imaging data by the computer system using a model to estimate the pose of the human subject, the model comprising a machine learning inference model trained on a training dataset of a plurality of in-bed human poses.
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