Abstract: The present disclosure provides a system and method for analyzing a physiological parameter of a vital sign signal. The method may include acquiring a vital sign signal, storing data, computing and analyzing, processing, and outputting a result. The system may compute and analyze the physiological parameter of the vital sign signal, especially a blood oxygen saturation, via a plurality of algorithms, judge or process the computation result, and output the judgment result.

Abstract: The present disclosure relates to a device, method and system for estimating or monitoring the health condition of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. At least one physiological signal or information including a physiological signal of a subject may be received. At least one physiological parameter of interest may be generated based on the physiological signal. The physiological parameter of interest may be analyzed according to an analysis model. A physiological result may be generated. A recommendation may be provided based on the physiological analysis result.

Abstract: The present disclosure provides methods and systems for analysing a noise in a vital sign signal, including functions of acquisition, data storage, calculation and analysis, processing, result output etc. of a vital sign signal. The systems may calculate and analyse information obtained in the vital sign signal, especially noises, by using various algorithms, and analyse or process a calculation result and output an analysis result.

Abstract: A device, method and system for calculating, estimating, or monitoring the blood pressure of a subject. A first signal representing heart activity of a subject may be received. A plurality of second signals representing time-varying information on at least one pulse wave of the subject may be received from a plurality of body locations of the subject. A first feature of the first signal may be identified. For each of the plurality of second signals, a second feature may be identified. A pulse transit time based on a difference of the first feature and at least one of the second features may be computed. A blood pressure of the subject may be calculated according to a model based on the computed pulse transit time. The model may include a compensation term relating to the plurality of second signals or the second features thereof.

Abstract: The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject based on physiological features and personalized models. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing a pulse wave relating to heart activity of a subject may be received. A plurality of second signals representing time-varying information on a pulse wave of the subject may be received. A personalized model for the subject may be designated. Effective physiological features of the subject based on the plurality of second signals may be determined. A blood pressure of the subject based on the effective physiological features and the designated model for the subject may be calculated.

Abstract: A method may include acquiring first physiological data relating to a first subject, extracting at least one first physiological feature from the first physiological data relating to the first subject, determining a first model relating to at least one first reference physiological feature, generating, based on the first model and the at least one first physiological feature, a second model, the second model relating to at least one second reference physiological feature corresponding to the second model, and determining, based on the second model and the at least one first physiological feature, at least one identification physiological feature relating to the first subject. In some embodiments, the at least one identification physiological feature may correspond to the at least one second reference physiological feature.

Abstract: The present disclosure relates to a device, method and system (100) for calculating, estimating, or monitoring the physiological parameters of a subject. At least one processor, when executing instructions, may perform one or more of the following operations: receiving a first signal representing a pulse wave relating to heart activity of a subject, receiving a plurality of second signals representing time-varying information on the pulse wave, determining a blood oxygen level of the subject based on the plurality of second signals, identifying a first feature in the first signal, identifying a second feature in one of the plurality of second signals, computing a pulse transit time based on a difference between the first feature and the second feature, calculating a blood pressure of the subject based on the pulse transit time.

Abstract: A device (110), method and system (100) for calculating, estimating, or monitoring the blood pressure of a subject are disclosed. A first signal representing heart activity of a subject may be received. A plurality of second signals representing time-varying information on at least one pulse wave of the subject may be received from a plurality of body locations of the subject. A first feature of the first signal may be identified. For each of the plurality of second signals, a second feature may be identified. A pulse transit time based on a difference of the first feature and at least one of the second features may be computed. A blood pressure of the subject may be calculated according to a model based on the computed pulse transit time. The model may include a compensation term relating to the plurality of second signals or the second features thereof.

Abstract: The present disclosure relates to a device, method and system for estimating or monitoring the health condition of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. At least one physiological signal or information including a physiological signal of a subject may be received. At least one physiological parameter of interest may be generated based on the physiological signal. The physiological parameter of interest may be analyzed according to an analysis model. A physiological result may be generated. A recommendation may be provided based on the physiological analysis result.