公开(公告)号：US20220175300A1

公开(公告)日：2022-06-09

申请号：US17115561

申请日：2020-12-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Viswam Nathan ,  Li Zhu ,  Md Mahbubur Rahman ,  Jilong Kuang ,  Jun Gao

IPC: A61B5/361 ,  G16H50/30 ,  G16H50/70 ,  G16H10/60 ,  G16H40/67 ,  G16H20/30 ,  G16H50/50 ,  A61B5/11 ,  A61B5/339 ,  A61B5/00

Abstract: A method includes estimating, by a consumer electronic device, an atrial fibrillation (AF) burden of a subject based on multiple measurements passively collected by at least one sensor associated with the consumer electronic device while the subject is in a free-living environment. The method also includes outputting, by the consumer electronic device, an AF burden notification associated with the subject based on the estimated AF burden. The method further includes outputting, by the consumer electronic device, an AF burden recommendation based on the estimated AF burden.

公开(公告)号：US20200098384A1

公开(公告)日：2020-03-26

申请号：US16247384

申请日：2019-01-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Ebrahim Nematihosseinabadi ,  Md Mahbubur Rahman ,  Viswam Nathan ,  Korosh Vatanparvar ,  Jilong Kuang ,  Jun Gao

IPC: G10L25/66 ,  G10L15/06 ,  G10L15/22 ,  G10L15/02 ,  A61B5/00 ,  A61B5/08

Abstract: A method for pulmonary condition monitoring includes selecting a phrase from an utterance of a user of an electronic device, wherein the phrase matches an entry of multiple phrases. At least one speech feature that is associated with one or more pulmonary conditions within the phrase is identified. A pulmonary condition is determined based on analysis of the at least one speech feature.

公开(公告)号：US11890078B2

公开(公告)日：2024-02-06

申请号：US16786801

申请日：2020-02-10

Applicant: Samsung Electronics Co., Ltd.

Inventor： Korosh Vatanparvar ,  Viswam Nathan ,  Md Mahbubur Rahman ,  Ebrahim Nematihosseinabadi ,  Jilong Kuang ,  Jun (Alex) Gao

IPC: A61B5/00 ,  A61B5/091 ,  A61B5/087 ,  G06V10/80 ,  G06V40/16

CPC classification number: A61B5/0077 ,  A61B5/0871 ,  A61B5/091 ,  A61B5/486 ,  A61B5/7221 ,  G06V10/803 ,  G06V40/171 ,  A61B2562/0204

Abstract: A method includes receiving, by an electronic device, sensor data during a spirometry test of a user, the sensor data comprising audio data of the user and distance data of a distance from a face of the user to the electronic device. The method also includes obtaining, by the electronic device, an amount of air volume exchange and at least one pulmonary health parameter that are determined based on the audio data and the distance data. The method also includes presenting an indicator on a display of the electronic device for use by the user or a medical provider, the indicator representing the amount of air volume exchange.

公开(公告)号：US20230343458A1

公开(公告)日：2023-10-26

申请号：US17728741

申请日：2022-04-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Tousif Ahmed ,  Md Mahbubur Rahman ,  Sean Bornheimer ,  Nathan Robert Folkman ,  Anh Minh Dinh ,  Ebrahim Nematihosseinabadi ,  Jilong Kuang ,  Jun Gao

IPC: G16H50/30 ,  G16H80/00 ,  A61B5/00 ,  H04W4/02 ,  G16H10/60

CPC classification number: G16H50/30 ,  G16H80/00 ,  A61B5/0022 ,  H04W4/023 ,  A61B5/7282 ,  G16H10/60

Abstract: Detecting an adverse health event and responding to an emergency event can include updating a current context profile of a user based on signals generated by one or more sensors of a device, the signals generated in response to one or more physically measurable phenomena associated with the user. A context-aware baseline profile having a same context as the current context profile can be selected, the context-aware baseline profile selected from a plurality of context-aware baseline profiles having different contexts. Features of the current context profile can be compared with corresponding features of the context-aware baseline profile of the user having the same context as the current context profile. A remedial action can be initiated in response to recognizing, based on the comparing, an occurrence of a possible adverse health event affecting the user.

公开(公告)号：US11741986B2

公开(公告)日：2023-08-29

申请号：US16999027

申请日：2020-08-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Korosh Vatanparvar ,  Tousif Ahmed ,  Viswam Nathan ,  Ebrahim Nematihosseinabadi ,  Md Mahbubur Rahman ,  Jilong Kuang ,  Jun Gao

IPC: G10L25/66 ,  G10L15/16

CPC classification number: G10L25/66 ,  G10L15/16

Abstract: A method includes obtaining, by an electronic device, an audio segment comprising one or more audio events of a target subject. The method also includes extracting, by the electronic device, audio embeddings from the one or more audio events using an embedding model, the embedding model comprising a trained machine learning model. The method further includes comparing, by the electronic device, the extracted audio embeddings with a match profile of the target subject, the match profile generated during an enrollment stage. The method also includes generating, by the electronic device, a label for the audio segment based on whether or not the extracted audio embeddings match the match profile, wherein the label enables correlation of the audio segment with the target subject for monitoring a health condition of the target subject.

公开(公告)号：US11564613B2

公开(公告)日：2023-01-31

申请号：US17124438

申请日：2020-12-16

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  The Regents of the University of California

Inventor： Li Zhu ,  Viswam Nathan ,  Md Mahbubur Rahman ,  Jilong Kuang ,  Jeong Woo Kim ,  Jun Gao ,  David W. Mortara ,  Jeffrey E. Olgin

IPC: A61B5/361 ,  A61B5/364 ,  A61B5/00

Abstract: Continuously monitoring heart rhythm can include grouping, using computer hardware, a plurality of inter-beat intervals (IBI) data for a user into a plurality of epochs, wherein each epoch includes a subset of the IBI data corresponding to a predetermined time span. For each epoch, a selected feature set selected from a plurality of feature sets is extracted based on a determination of temporal consistency of the epoch. A plurality of epoch classifications may be generated for the epochs using a selected feature processor, wherein each epoch classification indicates whether arrhythmia is detected for the epoch from which the epoch classification is generated. The selected feature processor is selected from a plurality of different feature processors on a per-epoch basis based on the selected feature set extracted from the epoch. An indication of arrhythmia may be output, via an output device of the computer hardware, based on the epoch classifications.

公开(公告)号：US11331003B2

公开(公告)日：2022-05-17

申请号：US16049743

申请日：2018-07-30

Applicant: Samsung Electronics Co., Ltd

Inventor： Md Mahbubur Rahman ,  Ebrahim Nemati ,  Jilong Kuang ,  Nasson Boroumand ,  Jun Gao

IPC: A61B5/08 ,  A61B5/0205 ,  A61B5/00 ,  G16H50/20 ,  A61B5/024

Abstract: A method for contextually aware determination of respiration includes obtaining, by an electronic device, context information and selecting, by the electronic device, a set of sensor data associated with respiratory activity of a subject, based on the context information. The method further includes selecting, based on the selected set of sensor data, an algorithm from a plurality of algorithms for determining a respiration rate of the subject, and determining, by applying the selected algorithm to the selected set of sensor data associated with respiratory activity of the subject, the respiration rate for the subject.

公开(公告)号：US20220054039A1

公开(公告)日：2022-02-24

申请号：US17406086

申请日：2021-08-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Md Mahbubur Rahman ,  Bashima Islam ,  Tousif Ahmed ,  Nathan Robert Folkman ,  Anh Minh Dinh ,  Sean Bornheimer ,  Ebrahim Nematihosseinabadi ,  Jilong Kuang ,  Jun Gao

IPC: A61B5/08 ,  A61B5/00

Abstract: Passively monitoring a user's breathing with a device can include identifying breathing modes of the user's breathing and responsive to detecting a trigger mode based on the identifying, generating an instruction adapted to the trigger mode. The instruction can be conveyed to the user via the device. The monitoring can include determining phases of the user's breathing with the device. Determining the phases can include receiving acoustic signals generated by an acoustic sensor in response to a user's breathing and generating acoustic data comprising features extracted from the acoustic signals. Phases of the user's breathing can be determined by classifying the acoustic data using a machine learning model trained based on signal processing of motion signals generated by a motion sensor in response to human breathing motions. Though trained using signal processing of motion signals, the machine learning model is trained to classify acoustic data.

公开(公告)号：US20240269513A1

公开(公告)日：2024-08-15

申请号：US18358769

申请日：2023-07-25

Applicant: Samsung Electronics Co., Ltd.

Inventor： Md Mahbubur Rahman ,  Tousif Ahmed ,  Nafiul Rashid ,  Jilong Kuang ,  Jun Gao

IPC: A63B24/00 ,  A63B23/18 ,  A63B71/06 ,  G16H50/20

CPC classification number: A63B24/0075 ,  A63B23/18 ,  A63B71/0622 ,  G16H50/20 ,  A63B2024/0068 ,  A63B2220/40 ,  A63B2220/803 ,  A63B2220/836 ,  A63B2230/42

Abstract: A method includes collecting motion data of a user using a head-worn device while the user is performing a breathing exercise. The method also includes, for a window of the motion data, generating breathing depth features based on the motion data. The method further includes determining, using a first machine learning model that receives the breathing depth features as inputs, whether the motion data corresponds to a non-breathing motion. In addition, the method includes, responsive to determining that the motion data corresponds to the non-breathing motion, presenting a first notification to the user to adjust head motion.

公开(公告)号：US20240079137A1

公开(公告)日：2024-03-07

申请号：US17930017

申请日：2022-09-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： Viswam Nathan ,  Md Mahbubur Rahman ,  Jilong Kuang ,  Jun Gao

IPC: G16H50/20 ,  G16H40/67

CPC classification number: G16H50/20 ,  G16H40/67

Abstract: A method includes receiving stress-related measurements collected by one or more stress sensors, where the stress-related measurements represent one or more physiological responses of a user to a stressor. The method also includes receiving context data collected by one or more context sensors, where the context data represents a context associated with the user. The method further includes determining stress profile features associated with the user based on the stress-related measurements. The method also includes providing the stress profile features to a trained stress profile identification machine learning model to select a stress profile from among multiple candidate stress profiles for association with the user. The method further includes providing the selected stress profile and the context data to a trained stress intervention recommendation machine learning model to select a stress intervention activity for the user. In addition, the method includes recommending the selected stress intervention activity to the user.