Anhui Huami Information Technology Co., Ltd.

Anhui Huami Health Technology Co., Ltd.

Zepp, Inc.

Huami Inc.

Beijing Shunyuan Kaihua Technology Limited

Zepp Europe Holding B.v.

Beling Shunyuan Kaihua Technology Limited

Kongqiao Wang

Yan Vule

Artem Galeev

Wang Huang

Wei Zhao

Yoav Aminov

Jinghua Wang

Pengtao Yu

Alexander Sromin

Yajun Zhao

Shimon Hayun

Xiao Li

Xiao-feng Li

Ninel Gorev

Gabrielle Toupin

Andrew J Rosenthal

Shaghayegh Zihajehzadeh

Aiden Arnold

Aaron Zimmer

Li Guo

Vahid Zakeri

Rana Sadeghi Chegani

Yazhao Li

Vladimir Kolesnikov

Elena Sokolova

Liyun Lu

Training data are obtained. Each training datum includes environment characteristics obtained based on sensor data. Respective user settings corresponding to the training data are obtained. At least one respective user setting corresponds to one training datum, and a respective user setting is indicative of a user preference of at least one parameter of a hearing aid device. A machine-learning model for the hearing aid device is trained to output values for the at least one parameter. The hearing aid device is reconfigured based on an output of the machine-learning model. Reconfiguring the hearing aid device includes using current environment characteristics as an input to the machine-learning model to obtain at least one current value for the at least one parameter and configuring the hearing aid device to use at least one current value.

Hearing aid personalization using machine leaning

A display method and apparatus, a wearable device, and a computer-readable storage medium. The method is applied to the wearable device. The wearable device comprises an inertial sensor and at least two screen display areas; when a user wears the wearable device, the screen display areas are not located on the same plane at the same time. The method comprises: obtaining a target action of a user by means of measurement data collected by the inertial sensor; determining the screen display area corresponding to a sight range of the user according to the target action of the user; and lighting the screen display area to display the current content.

Display method and apparatus, intelligent wearable device, and storage medium

Provided are a display method and apparatus, a smart wearable device, and a computer-readable storage medium, the display method being used on the smart wearable device, and the smart wearable device including at least two screen display regions and at least two corresponding audio collection units; when a user is wearing the smart wearable device, the screen display regions are not simultaneously in the same plane. The display method includes according to voice signals collected by all of the audio collection units, determining an audio collection unit nearest a sound source; turning on a screen display region corresponding to the audio collection unit nearest the sound source to display current content.

Display method, apparatus, smart wearable device and storage medium

A system and methods are used to enable hearing device calibration using auditory filters. The system and methods are used to reduce processing time for estimating auditory filters for new hearing device users and can be performed by the user without the aid of an audiologist. The system and methods use a database of notched-noise test results of other users to create a prior distribution of possible auditory filter parameters. The prior distribution is used to minimize the number of notched-noise test performed, thereby reducing the amount of calibration time.

Auditory filter fitting for hearing devices

The present disclosure relates to a method and a system for minimizing electromagnetic interference (EMI) of magnetic resonance imaging (MRI) systems in complex electromagnetic environments. The method and system described herein provide superior MRI image quality and may reduce costs by eliminating the requirement of expensive shielding in MRI systems/hybrid MRI systems.

Shield-free MRI system of time-varying electromagnetic fields in complex electromagnetic environments

A device including sensors and a processor. The sensors are configured to detect movements of a user. The processor is configured to categorize the movements of the user as a micro-movement or a macro-movement; quantify a number of the micro-movements; quantify a number of the macro-movements; determine based upon the number of micro-movements whether a body part of interest of a user is supported; and provide feedback to the user if the body part of interested is unsupported and continuing to monitor the body part of interest if the user is supported without providing any feedback.

Neck evaluation method and device

A method includes obtaining a baseline blood pressure at an initial time window; estimating a plurality of intermediate blood pressure change estimates, the intermediate blood pressure change estimates correspond to respective time windows that are subsequent to the initial time window; estimating a final blood pressure change estimate between the initial and final time windows; and obtaining the blood pressure by adding the baseline blood pressure to the final blood pressure change estimate. Estimating the final blood pressure includes estimating a first blood pressure change between the initial time window and the final time window; estimating a plurality of second blood pressure changes, each second blood pressure change is between a respective time window of the respective time windows and the final time window; and estimating the final blood pressure change estimate as a combination of the first blood pressure change and the plurality of second blood pressure changes.

Blood pressure measurement

A wearable device includes a processor and a lower module. The lower module includes a pressure sensor for detecting a mechanical movement of a skin that covers an artery. The mechanical movement of the skin is due to blood flow through the artery. The processor is configured to receive skin movement information from the movement sensor; calculate a pulse front velocity (PFV), which is a velocity of a blood wave as the blood wave passes under the pressure sensor; estimate a pulse wave velocity (PWV) using the PFV; and estimate the blood pressure using the PWV.

The present application provides a method and apparatus for detecting an ECG signal and an electronic device. According to an example of the method, an ECG signal with a set time length is segmented to obtain a first set number of single heartbeats; feature data corresponding to each of the first set number of single heartbeats is determined to obtain a first set number of feature data; and a pathological category of the ECG signal with the set time length is determined based on the ECG signal with the set time length and the first set number of feature data.

Detection of electrocardiographic signal

A portable system has a magnet, magnet bore and shielding. The magnet bore extends through the magnet, and the magnet bore configured to receive at least some portion of a patient. The shielding forms a shielding area, and the shielding includes one or more layers. The shielding has a material that provides magnetic shielding that reduces or prevents a static magnetic field (SMF); a material that provides electromagnetic shielding and reduces or prevents a time-varying-electromagnetic field (EMF); a removable shielding removable or movable, wherein the patient is able to move into our out of the magnet bore when the removable shielding is in a moved position or a removed position and the removable shielding; and a shielding adapter covering a connection of devices and extending from the exterior of the portable system. All or a portion of the shielding includes a transparent portion.

Shielding of a portable MRI system

A method includes: receiving sensor data representing a subject within a field of vision associated with respective ones of a plurality of modular cameras associated with a composite camera and one or more geo-spatial characteristics associated with respective ones of the plurality of modular cameras; determining an arrangement of the composite camera based on the sensor data; generating digital content for respective ones of the plurality of modular cameras based on the sensor data; and generating combined digital content that represents a subject within a field of vision associated with the composite camera based on the digital content and the arrangement of the composite camera, wherein the field of vision associated with the composite camera includes at least some of fields of vision associated with the plurality of modular cameras.

System and method for generating digital content for a composite camera

A camera calibration method includes: based on external parameters of the first camera, determining a first mapping point set on a reference mapping plane for a first feature point set on an original image captured by the first camera; based on M predetermined adjustment modes, adjusting external parameter values of the second camera to obtain M intermediate extremal parameter values; based on each adjustment mode and its corresponding external parameter values, determining a second mapping point set on the reference mapping plane for a second feature point set that matches with the first feature point set and is on an original image captured by the second camera; computing a distance corresponding to the adjustment mode between the second mapping point set and the first mapping point set; and adjusting the external parameter values of the second camera based on the distance and a step length corresponding to each adjustment mode.

Growing community of inventors

Anhui, China

Kongqiao Wang