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公开(公告)号:US20240153285A1
公开(公告)日:2024-05-09
申请号:US18568865
申请日:2022-06-10
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Scott COLES , Trefor MORGAN
CPC classification number: G06V20/597 , G06V10/87 , G06V40/171 , G06V40/18 , G06V40/20 , H04N23/23
Abstract: The present invention relates, in various embodiments, to prediction of human subject states (e.g. physiological and/or psychological and/or neurological state) via a hybrid approach, which includes elements of AI-based classification and objective physiological analysis (such as blepharometric analysis). Embodiments are described by reference to applications in driver alertness monitoring. However, it will be appreciated that the technology is not limited as such, and has application in a broader range of context. For example, the technology is applicable to prediction of physiological states other than alertness level, and to implementation environments other than driver monitoring.
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公开(公告)号:US20210236023A1
公开(公告)日:2021-08-05
申请号:US16972535
申请日:2019-06-05
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Murray Johns , Scott Coles , Trefor Morgan
IPC: A61B5/11 , A61B5/00 , A61B5/1171
Abstract: Technology is adapted to enable improved collection of involuntary eyelid movement parameters, including collection of eyelid movement parameters to support analysis of neurological factors. For example, this may include methods and systems configured to enable improved analysis of involuntary eyelid movement parameters, including diagnosis of subject neurological conditions and/or other subject attributes from analysis of involuntary eyelid movement parameters. Some embodiments relate to testing, which provide a standardized environment for collection of involuntary eyelid movement data thereby to reduce influence of variable factors, which affect involuntary eyelid movement. For example, the standardized environment influences the subject to adopt a controlled cognitive and/or physiological state, thereby to improve comparability of test results. In some cases, the controlled test parameters include a test parameter, which influences the subject to voluntarily maintain a substantially consistent gaze detection, thereby to minimize eye movement.
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公开(公告)号:US20250061356A1
公开(公告)日:2025-02-20
申请号:US18935980
申请日:2024-11-04
Applicant: SDIP Holdings PTY LTD
Inventor: Scott Coles , Trefor Morgan
IPC: G06N5/04 , A61B3/113 , A61B3/14 , A61B5/00 , A61B5/11 , A61B5/18 , B60W40/08 , G06F18/214 , G06T7/00 , G06V10/40 , G06V20/59 , G06V40/18 , G16H40/63 , G16H50/20
Abstract: Devices and processing systems are configured to enable physiological event prediction based on blepharometric data analysis. For example, some embodiments provide methods and associated technology that enable retrospective analysis of blepharometric data driving subsequent hardware/software configuration, thereby to provide for personalized and/or generalized biomarker identification.
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公开(公告)号:US20210345937A1
公开(公告)日:2021-11-11
申请号:US17287882
申请日:2019-10-23
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Scott Coles , Trefor Morgan
Abstract: Blepharometric data (data describing eyelid position as a function of time) is recorded and processed for the purposes of predicting a future risk and/or current occurrence of neurological events such as seizures. For example, in one embodiment blepharometric data is recorded via infrared reflectance oculography spectacles, and processed in real time thereby to extract a set of blepharometric artifacts. Where those artifacts indicate prolonged spiking in blink calmness (for example based on spiking in negative inter-event duration, or negative IED), an alert is able to be generated thereby to indicate that the subject is at risk of a seizure in a proximal time period. This provides an opportunity to implement mitigation measures, for example to reduce the likelihood of the seizure manifesting, and/or to mitigate harm should the seizure occur.
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公开(公告)号:US12159241B2
公开(公告)日:2024-12-03
申请号:US17288336
申请日:2019-10-23
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Scott Coles , Trefor Morgan
IPC: G06N5/00 , A61B3/113 , A61B3/14 , A61B5/00 , A61B5/11 , A61B5/18 , B60W40/08 , G06F18/214 , G06N5/04 , G06T7/00 , G06V10/40 , G06V20/59 , G06V40/18 , G16H40/63 , G16H50/20
Abstract: Devices and processing systems are configured to enable physiological event prediction based on blepharometric data analysis. For example, some embodiments provide methods and associated technology that enable retrospective analysis of blepharometric data driving subsequent hardware/software configuration, thereby to provide for personalized and/or generalized biomarker identification.
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公开(公告)号:US20210378568A1
公开(公告)日:2021-12-09
申请号:US17288336
申请日:2019-10-23
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Scott Coles , Trefor Morgan
Abstract: Devices and processing systems are configured to enable physiological event prediction based on blepharometric data analysis. For example, some embodiments provide methods and associated technology that enable retrospective analysis of blepharometric data driving subsequent hardware/software configuration, thereby to provide for personalized and/or generalized biomarker identification.
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公开(公告)号:US12169788B2
公开(公告)日:2024-12-17
申请号:US17287882
申请日:2019-10-23
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Scott Coles , Trefor Morgan
IPC: G06V20/59 , A61B3/113 , A61B3/14 , A61B5/00 , A61B5/11 , A61B5/18 , B60W40/08 , G06F18/214 , G06N5/04 , G06T7/00 , G06V10/40 , G06V40/18 , G16H40/63 , G16H50/20
Abstract: Blepharometric data (data describing eyelid position as a function of time) is recorded and processed for the purposes of predicting a future risk and/or current occurrence of neurological events such as seizures. For example, in one embodiment, blepharometric data is recorded via infrared reflectance oculography spectacles, and processed in real time thereby to extract a set of blepharometric artifacts. Where those artifacts indicate prolonged spiking in blink calmness (for example, based on spiking in negative inter-event duration, or negative IED), an alert is able to be generated thereby to indicate that the subject is at risk of a seizure in a proximal time period. This provides an opportunity to implement mitigation measures, for example, to reduce the likelihood of the seizure manifesting, and/or to mitigate harm should the seizure occur.
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公开(公告)号:US20210386345A1
公开(公告)日:2021-12-16
申请号:US17288360
申请日:2019-10-23
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Scott Coles , Trefor Morgan
Abstract: Technology described herein relates to extended monitoring and analysis of subject neurological factors via blepharometric data collection, for example, including devices and processing systems configured to enable such extended monitoring. This may include hardware and software components deployed at subject locations (for example, in-vehicle monitoring systems, portable device monitoring systems, and so on), and cloud-based hardware and software (for example, cloud-based blepharometric data processing systems. The technology allows for user blepharometric data to be collected across a plurality of monitoring sessions, in some cases via different collection technologies, thereby to analyze changes over time. For example, this can assist in identifying risks of degenerative neurological conditions.
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公开(公告)号:US20170119248A1
公开(公告)日:2017-05-04
申请号:US15318417
申请日:2015-06-19
Applicant: SDIP HOLDINGS PTY LTD
Inventor: Trefor MORGAN , Scott COLES , Andrew TUCKER
CPC classification number: A61B3/113 , A61B3/14 , A61B5/1103 , A61B5/1114 , A61B5/1128 , A61B5/16 , A61B5/163 , A61B5/18 , A61B5/7278 , G06K9/00597 , G06K9/00604 , G06K9/00845
Abstract: Lower sampling rates have been found to provide sufficient data for use in the method of U.S. Pat. Nos. 7,071,831, 7,616,125 and 7,791,491. The method of determining drowsiness includes the steps of receiving eye movement data collected at sampling rates as low as 20 Hz. The data is preferentially interpolated to provide a data set at a higher sampling rate in the order of 500 Hz. For each data point, values of amplitude and velocity of eye movement and whether the measures relate to eyelid opening or closing are derived. An algorithm is then used to obtain values of the amplitude to velocity ratios of eyelid opening and closing and using these values in an algorithm for providing a measure of drowsiness. With this method eyelid and eye movement may be monitored using any suitable technology or sensor including video or digital camera technology to identify and measure the appropriate ocular movements.
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