Huami Inc.

Anhui Huami Information Technology Co., Ltd.

Yuanxiang Wang

Fei C Wang

Yuchen Wang

Wang Huang

Yajun Zhao

Hui Wang

Jixiang Su

A method for processing electrocardiograph (ECG) data using a garment includes determining, by a processor, a current working lead from ECG leads formed in advance using flexible electrodes in the garment based on a current ECG monitor type, and receiving, by the processor through lead wires corresponding to the current working lead, ECG data collected by flexible electrodes corresponding to the current working lead. A wearable apparatus for processing ECG data includes at least two flexible electrodes, in which the at least two flexible electrodes are capable of forming different leads based on predetermined configurations, at least two lead wires, and an ECG data collector configured to receive ECG data collected by the at least two flexible electrodes, in which each of the at least two flexible electrodes connects to the ECG data collector via at least one of the at least two lead wires.

Garment and cardiac data processing

Monitoring heart activity using a wearable device, including receiving, from the wearable device, an electrocardiograph (ECG) signal and a motion signal associated with an individual upon contact with the wearable device; in response to receiving the ECG signal and the motion signal associated with the individual, determining, by a computing device, a position of the wearable device in contact with the individual; and determining, by the computing device, a heart activity monitoring mode for operating the wearable device, based on the position of the wearable device in contact with the individual.

Episodical and continuous ECG monitoring

Systems, methods, and an event detection apparatus, for the detection of an imminent adverse physiological event, such as an epileptic seizure or cardiac event. Physiological state data can be generated based on at least one of pre-processed physiological state data, electrocardiogram (ECG) signals, and motion sensor signals. A plurality of features from the physiological state data can be extracted. The plurality of features can be classified based on a predetermined classifier. Responsive to the plurality of features corresponding to at least one of a plurality of adverse physiological event profiles, an adverse physiological event can be determined to be imminent.

Adverse physiological events detection

Methods, apparatuses and wearable devices for measuring an ECG signal for a user wearing a wearable device includes when the ECG signal is measured in a first mode, receiving the ECG signal by an ECG sensor from a closed circuit formed by a first ECG sensor electrode and a second ECG sensor electrode, in which the wearable device includes a main body detachable to the wearable device, a connecting portion, and electrode patches, and the main body includes the ECG sensor, the first ECG sensor electrode, and the second ECG sensor electrode, and when the ECG signal is measured in a second mode, receiving the ECG signal by the ECG sensor from a closed circuit formed by electrodes of the electrode patches, in which the ECG sensor is in the main body and the main body is connected to the electrode patches.

Wearable apparatus for ECG signal acquisition

Systems and methods for determining a cardiac condition of the human based on acceleration measurements received from one or more accelerometers of a garment worn by a human, electrocardiogram measurements received from electrodes of a garment worn by the human, and a machine learning model previously determined based on training data. An alert message that indicates the determined cardiac condition may be transmitted or displayed to the human wearing the garment or another person who will assist the human. For example, a posture pattern may be determined based on the acceleration measurements. The cardiac condition may be determined based in part on the posture pattern.

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Mountain View, CA, United States of America

Yuanxiang Wang