Abstract: Provide is a wearable device comprising at least two electrodes and a wearable structure. The at least two electrodes are configured to fit against the skin of a human body to collect an electrocardiogram (ECG) signal of the human body, and the wearable structure is configured to carry the at least two electrodes and fit the at least two electrodes to a waist region of the human body. The at least two electrodes are spaced apart on the wearable structure, and disposed on two sides of a mid-sagittal plane of the human body when the human body wears the wearable structure.

Abstract: Embodiments of the present disclosure provide a signal acquisition system including a wearable body; a plurality of electrodes fixed on the wearable body and in contact with the skin of a user, and a processing circuit. The plurality of electrodes include a first electrode set and a second electrode set, and the first electrode set is configured to acquire a physiological signal and the second electrode set is configured to acquire a detection signal. The processing circuit configured to eliminate, based on the detection signal, motion artifacts in the physiological signal.

Abstract: A method and system for processing gait data includes: obtaining gait data for M gait cycles of the target user's lower limbs, and determining, based on the gait data, the target lift-off moment when the target user's foot leaves the ground for each of the M gait cycles. Subsequently, gait features of the target user are determined based on at least the target lift-off moments corresponding to each of the M gait cycles. The value of the sliding factor is dynamically updated for each gait cycle to obtain the target sliding factor value. The target sliding factor value is associated with the user's motion state in that gait cycle. The lift-off time range is determined in the current gait cycle, and the target lift-off moment is determined in that gait cycle based on the target sliding factor value and the lift-off time range.