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公开(公告)号：US20170231531A1
公开(公告)日：2017-08-17
申请号：US15518512
申请日：2015-10-06
CPC分类号： A61B5/1114 , A61B5/0033 , A61B5/0077 , A61B5/1115 , A61B5/1127 , A61B5/1128 , A61B5/746 , G16H40/63
摘要： The invention provides a patient monitoring system for monitoring a patient in a bed. A video camera is used for capturing video images of the patient. Video analysis is used to determine and track the position of body parts of the patient including the hands. This analysis is enhanced by using sensors which detect interaction by the patient with pieces of equipment in the vicinity of the bed.
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公开(公告)号：US20160150966A1
公开(公告)日：2016-06-02
申请号：US14905162
申请日：2014-07-09
发明人： Adrienne HEINRICH , Ahmet EKIN , Yingrong XIE
IPC分类号： A61B5/00
摘要： A monitoring system (10) includes at least one video camera (14), a motion unit (40), and a segmentation unit (42). The at least one video camera (14) is configured to continuously receive video of a subject in normal and darkened room conditions. The motion unit (40) identifies clusters of motion of the subject based on respiratory and body part motion in the received video of the subject. The segmentation unit (42) segments body parts of the subject based on the identified clusters of subject motion.
摘要翻译： 监视系统（10）包括至少一个摄像机（14），运动单元（40）和分割单元（42）。 所述至少一个摄像机（14）被配置为在正常和变暗的房间条件下连续地接收对象的视频。 运动单元（40）基于受试者的接收视频中的呼吸和身体部位运动来识别对象的运动群集。 分割单元（42）基于所识别的对象运动的聚类来分割对象的身体部分。
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公开(公告)号：US20220301214A1
公开(公告)日：2022-09-22
申请号：US17609023
申请日：2021-05-20
发明人： Dmitry Nikolayevich ZNAMENSKIY , Adrienne HEINRICH , Alessio GALLUCCI , Calina CIUHU , Mounir ZEITOUNY , Gerbern KOOIJMAN
摘要： A computer-implemented method for estimating surface area and/or volume of a subject's body or body part. First, at least one image, including the subject's face, is obtained. The image is processed to determine facial image parameter(s) of the subject's face. The subject's characteristic(s) including age, weight, height, and/or gender—is/are also determined. A facial parametric model and the facial image parameters are used to determine facial shape parameters of the subject's face, where the facial parametric model relates specific values for facial image parameters to a respective 3D representation of a face having respective values for the facial shape parameters. A prediction model with the characteristic(s) and the facial shape parameters are used to predict a 3D representation of the subject's full body. The predicted 3D representation of the subject's full body is analyzed to estimate the surface area and/or volume of the subject's body or body part.
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公开(公告)号：US20220280119A1
公开(公告)日：2022-09-08
申请号：US17633227
申请日：2020-08-17
摘要： A computer-implemented method of identifying a subject's body part on which a hand-held device is used to perform a personal care operation. The hand-held device comprises a head portion for contacting the subject's skin one or more sensors for measuring a parameter and generating measurement signals as the hand-held device is used on the subject's skin. The sensor(s) comprise(s) at least one of a skin contact sensor, skin tone sensor, and/or proximity sensor. The method includes obtaining a measurement signal from each sensor; analyzing the obtained measurement signal using a trained machine learning model (MLM) to identify the subject's body part that the hand-held device is used on. The trained MLM analyzes a plurality of measurements in a time window on each of the obtained measurement signals to identify the body part. An indication of the identified body part is then outputted.
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公开(公告)号：US20190192069A1
公开(公告)日：2019-06-27
申请号：US16209522
申请日：2018-12-04
发明人： Gary Nelson GARCIA MOLINA , Erik BRESCH , Ulf GROSSEKATHÖFER , Adrienne HEINRICH , Sander Theodoor PASTOOR
IPC分类号： A61B5/00
CPC分类号： A61B5/4812 , A61B5/0476 , A61B5/4809 , A61B5/4815 , A61B5/7275 , A61M21/02 , G16H20/00
摘要： The present disclosure pertains to a system configured to facilitate prediction of a sleep stage and intervention preparation in advance of the sleep stage's occurrence. The system comprises sensors configured to be placed on a subject and to generate output signals conveying information related to brain activity of the subject; and processors configured to: determine a sample representing the output signals with respect to a first time period of a sleep session; provide the sample to a prediction model at a first time of the sleep session to predict a sleep stage of the subject occurring around a second time; determine intervention information based on the prediction of the sleep stage, the intervention information indicating one or more stimulator parameters related to periheral stimulation; and cause one or more stimulators to provide the intervention to the subject around the second time of the sleep session.
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公开(公告)号：US20190090785A1
公开(公告)日：2019-03-28
申请号：US16203904
申请日：2018-11-29
发明人： Adrienne HEINRICH , Henriette Christine VAN VUGT , Rene Martinus Maria DERKX , Gary Nelson GARCIA MOLINA , Jia DU
摘要： The invention relates to a method and an apparatus for the detection of the body position, especially while sleeping. More particularly, the invention relates to how the main body positions during sleep can be derived from the distribution of the reflection of a projected IR light from a subject's body under a blanket. Additionally, the breathing signals can be analyzed to determine the body posture.
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公开(公告)号：US20170103178A1
公开(公告)日：2017-04-13
申请号：US15311646
申请日：2015-06-19
发明人： Adrienne HEINRICH , Jan TATOUSEK
CPC分类号： G06F19/3418 , A61B5/1113 , A61B5/4842 , A61B5/7264 , A61B5/7267 , A61B5/7475 , G06F19/324 , G08B21/0453 , G16H40/63 , G16H40/67 , G16H50/20 , G16H50/30
摘要： The present invention relates to a device for detecting a health condition of a subject (15), comprising a data interface (12) for receiving sensor data (14) of said subject (15) and one or more disease classification parameters (16) for characterizing one or more diseases, a user interface (18) for receiving a user input (20) related to a disease activity, an analysis unit (26) for extracting one or more physiological and/or behavioral features from said received sensor data (14), an optimizer unit (28) for optimizing said one or more disease classification parameters (16) based on a correlation analysis between said one or more physiological and/or behavioral features and said user input (20), and a detection unit (30) for detecting a health condition of said subject (15) by applying said one or more disease classification parameters (16) to said one or more physiological and/or behavioral features.
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公开(公告)号：US20160354023A1
公开(公告)日：2016-12-08
申请号：US14730262
申请日：2015-06-04
IPC分类号： A61B5/16 , A61B5/0205 , A61B5/00 , A61B7/00 , A61B5/0402 , A61B5/0484 , A61B3/113
CPC分类号： A61B5/11 , A61B3/113 , A61B5/0077 , A61B5/02055 , A61B5/0402 , A61B5/04842 , A61B5/04845 , A61B5/0531 , A61B5/0816 , A61B5/165 , A61B5/4088 , A61B2505/03
摘要： A delirium detection system for automatic, unobtrusive and reliable detection of delirium of a person comprises a processor and a computer-readable storage medium, wherein the computer-readable storage medium contains instructions for execution by the processor. The instructions cause the processor to perform the steps of controlling a stimulus unit to output a stimulus for stimulating the person, receiving and evaluating one or more reaction signals captured by a reaction unit and reflecting the person's reaction to a stimulus, and determining a delirium score from said evaluation of one or more reaction signals.
摘要翻译： 用于自动，不显眼和可靠地检测人的del妄的del妄检测系统包括处理器和计算机可读存储介质，其中所述计算机可读存储介质包含由所述处理器执行的指令。 指令使处理器执行控制刺激单元以输出用于刺激人的刺激，接收和评估由反应单元捕获的一个或多个反应信号并反映该人对刺激的反应的步骤，以及确定del妄评分 从所述评估一个或多个反应信号。
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公开(公告)号：US20220277442A1
公开(公告)日：2022-09-01
申请号：US17637868
申请日：2020-09-03
发明人： Shakith Devinda FERNANDO , Karl Catharina VAN BREE , Jan BROUWER , Gerben KOOIJMAN , Felipe Maia MASCULO , Cornelis Willem HAMEETMAN , Adrienne HEINRICH
摘要： According to an aspect, there is provided an apparatus for use with a treatment device. The treatment device is configured to apply a light pulse to skin of a subject to perform a treatment operation to hairs on the skin. The apparatus comprises a processing unit configured to receive one or more images of a first area of the skin from an imaging unit, wherein the imaging unit is arranged to obtain images of the skin of the subject; process the one or more images to determine whether the hairs on the first area of the skin have been treated with a light pulse based on a degree of at least one of carbonization and curling of the hairs on the first area of the skin as shown in the one or more images; and output a first signal indicating whether the hairs on the first area of skin have been treated with a light pulse.
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10.发明申请公开(公告)号：US20200306494A1
公开(公告)日：2020-10-01
申请号：US16832509
申请日：2020-03-27
发明人： Gary Nelson Garcia MOLINA , Ulf GROSSEKATHÖFER , Stojan TRAJANOVSKI , Jesse SALAZAR , Tsvetomira Kirova TSONEVA , Sander Theodoor PASTOOR , Antonio AQUINO , Adrienne HEINRICH , Birpal Singh SACHDEV
IPC分类号： A61M21/02 , A61B5/00 , A61B5/0496 , A61B5/0478 , A61B5/04 , A61B5/048
摘要： Typically, high NREM stage N3 sleep detection accuracy is achieved using a frontal electrode referenced to an electrode at a distant location on the head (e.g., the mastoid, or the earlobe). For comfort and design considerations it is more convenient to have active and reference electrodes closely positioned on the frontal region of the head. This configuration, however, significantly attenuates the signal, which degrades sleep stage detection (e.g., N3) performance. The present disclosure describes a deep neural network (DNN) based solution developed to detect sleep using frontal electrodes only. N3 detection is enhanced through post-processing of the soft DNN outputs. Detection of slow-waves and sleep micro-arousals is accomplished using frequency domain thresholds. Volume modulation uses a high-frequency/low-frequency spectral ratio extracted from the frontal signal.
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