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：US20210386318A1

公开(公告)日：2021-12-16

申请号：US17072341

申请日：2020-10-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

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

IPC: A61B5/08 ,  A61B5/113 ,  A61B5/00

Abstract: Adaptive respiratory condition assessment can include capturing signals generated by sensors of a portable device positioned to sense a user's body. The sensors can generate the signals in response to sensor-detected movements of the user's body measured along multiple axes and corresponding to lung activity in the user's body during respiratory cycles. A preferred axis of measurement can be selected using signal processing performed by a signal processor embedded in the portable device. Waveforms generated from signals corresponding to signals generated in response to movements of the user's body measured along the preferred axis can be filtered for extracting biomarkers from the waveforms using the signal processor. The one or more biomarkers extracted correspond to the lung activity. Based on the biomarkers, a respiratory condition of the user can be determined. A notification based on the respiratory condition as determined can be generated and conveyed with the portable device.