公开(公告)号：US20210219925A1

公开(公告)日：2021-07-22

申请号：US17251239

申请日：2019-06-14

申请人： Strados Labs, Inc.

发明人： Yu Kan AU ,  Tanziyah MUQEEM ,  Nicholas Shane DELMONICO

IPC分类号： A61B5/00 ,  G10L25/66 ,  G16H40/63 ,  A61B5/113 ,  A61B7/00 ,  A61B5/0205

摘要： A method includes receiving motion data from at least one sensor of a wearable device worn by a user. The method further includes receiving audio data from at least one sensor of the wearable device, the audio data representative of sounds emanating from the user's respiratory system. The method further includes comparing the motion data to a motion data criteria. The method further includes comparing the audio data an audio data criteria. The method further includes determining, based on the comparison of the motion data to the motion data criteria and the comparison of the audio data to the audio data criteria, whether the user has coughed.

公开(公告)号：US20240358331A1

公开(公告)日：2024-10-31

申请号：US18769006

申请日：2024-07-10

申请人： Strados Labs, Inc.

发明人： Yu Kan Au ,  Jason Mark Kroh ,  Nicholas Shane Delmonico ,  Richard Powers

IPC分类号： A61B5/00 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/08 ,  A61B5/107 ,  A61B5/11 ,  A61B90/00 ,  G16H10/60 ,  G16H20/00 ,  G16H50/20 ,  G16H50/70

CPC分类号： A61B5/7267 ,  A61B5/0205 ,  A61B5/6801 ,  A61B5/7257 ,  A61B5/746 ,  A61B90/06 ,  G16H10/60 ,  G16H20/00 ,  G16H50/20 ,  G16H50/70 ,  A61B5/02405 ,  A61B5/0816 ,  A61B5/107 ,  A61B5/1118 ,  A61B2090/064 ,  A61B2560/0242 ,  A61B2560/045 ,  A61B2560/0462 ,  A61B2562/0204 ,  A61B2562/0219 ,  A61B2562/0247 ,  A61B2562/0257 ,  A61B2562/0271 ,  A61B2562/04

摘要： A system for an automated analysis of patient-respiratory data including a processor of a respiratory analysis server node configured to host a machine learning (ML) module and connected to at least one patient-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: acquire target patient's physiological data from at least one sensor connected to the patient; monitor audio data received from a sensor array, the audio data comprising respiratory sounds originating from the target patient and respiratory sounds originating from persons located in the vicinity of the sensor array; process the audio data to differentiate between the respiratory sounds originating from the target patient and the respiratory sounds originating from the persons located in the vicinity of the sensor array based on at least one property comprising a signal frequency; generate cleaned marked-up audio data based on the processed audio data; parse the target patient's physiological data and the cleaned and marked audio data to derive a set of classifying features; query a patients' database to retrieve local historical respiratory analysis'-related data based on the set of classifying features; generate at least one classifier vector based on the set of classifying features and the local historical respiratory analysis'-related data; provide the at least one classifier vector to the ML module configured to generate a predictive model for producing a set of respiratory analysis parameters; and generate at least one respiratory analysis verdict based on the set of respiratory analysis parameters.

公开(公告)号：US20220007964A1

公开(公告)日：2022-01-13

申请号：US17482941

申请日：2021-09-23

申请人： Strados Labs, Inc.

发明人： Yu Kan Au ,  Tanziyah Muqeem ,  Nicholas Shane Delmonico

IPC分类号： A61B5/08 ,  A61B7/04 ,  A61B7/00

摘要： A method of identifying respiratory anomalies includes obtaining respiratory data over a first time period and a second time period that is different than the first time period, identifying at least one type of sound associated with respiration in the respiratory data over the first time period, identifying the at least one type of sound associated with respiration in the respiratory data over the second time period, and identifying abnormal respiration based on a comparison of the at least one type of sound associated with respiration in the respiratory data over the first time period to the at least one type of sound associated with respiration in the respiratory data over the second time period. The at least one type of sound associated with respiration in the respiratory data over the first time period is identified using a first set of features generated by a first processing method.

公开(公告)号：US20220378377A1

公开(公告)日：2022-12-01

申请号：US17705585

申请日：2022-03-28

申请人： Strados Labs, Inc.

发明人： Yu Kan Au ,  Richard Michael Powers ,  Jason Mark Kroh ,  Nicholas Shane Delmonico ,  Tanziyah Muqeem

IPC分类号： A61B5/00 ,  A61B5/08 ,  G06N20/00 ,  G16H10/60

摘要： In various embodiments, a system for cleaning, marking, and/or interpreting physiological data is disclosed. The system includes a memory having instructions stored thereon, and a processor configured to read the instructions to: receive a training data set comprising physiological data including labeled events corresponding to a predetermined portion of the physiological data, generate a trained artificial intelligence (AI) model configured to identify events within device data, and identify at least one physiological event within a target device data set based on the trained AI model. The trained AI model is generated using an iterative training process based on the training data set.