公开(公告)号：US20240423498A1

公开(公告)日：2024-12-26

申请号：US18752405

申请日：2024-06-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Md Mahbubur Rahman ,  Yincheng Jin ,  Mehrab Bin Morshed ,  Nafiul Rashid ,  Jilong Kuang ,  Jun Gao

IPC: A61B5/091 ,  A61B5/00 ,  A61B5/0205 ,  A61B5/0295 ,  A61B5/08 ,  A61B5/11

Abstract: In one embodiment, a method includes detecting, by a motion sensor of a mobile device worn by a user, multiple motion signals, each representing a motion of the user about one of a number of mobile-device axes defined by an orientation of the mobile device. The method further includes determining, for each of the multiple mobile-device axes, a ballistocardiogram (BCG) signal based on the motion signal corresponding to that mobile-device axis; selecting, based on a strength of the determined BCG signals, one or more particular mobile-device axes and corresponding motion signals for estimating a user's tidal volume; determining, based on the one or more selected motion signals, one or more breathing features; and estimating, by providing the one or more breathing features to a trained machine-learning model, the user's current tidal volume.

公开(公告)号：US20250087366A1

公开(公告)日：2025-03-13

申请号：US18824767

申请日：2024-09-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Md Mahbubur Rahman ,  David Lin ,  Li Zhu ,  Viswam Nathan ,  Larry Zhang ,  Ramesh Sah ,  Mehrab Bin Morshed ,  Jungmok Bae ,  Jilong Kuang

IPC: G16H50/30 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/11

Abstract: In one embodiment, a method includes accessing a window of motion data collected by a motion sensor of a device worn by a user and selecting motion data in the window about or more particular axes of the motion sensor. The method further includes determining a ballistocardiogram (BCG) signal in the selected motion data and determining whether the BCG signal in the selected motion data satisfies a signal-quality metric. If the BCG signal in the selected motion data satisfies the signal-quality metric, then the method includes (1) determining one or more heart-beat metrics of the user from the selected motion data; and (2) estimating, based on the one or more determined heart-beat metrics, a stress condition of the user at a time coincident with the window of motion data.