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: 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: 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: 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: Systems and methods for determining an arrhythmia type are provided. A method may include: obtaining an electrocardiogram signal, obtaining a feature vector of the electrocardiogram signal, obtaining a trained prediction model, and determining an arrhythmia type of the electrocardiogram signal based on the trained prediction model and the feature vector. The feature vector includes a threshold crossing sample (TCSC) percent feature, an L-Z complexity feature, an empirical mode decomposition (EMD) complex number feature, a sample entropy feature, and a set of wavelet transform energy features.

Abstract: A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network for determining blood pressure may include: receiving a request to determine blood pressure of a first subject from a terminal, obtaining data related to heart activity of the first subject, determining a personalized model for predicting blood pressure with respect to the first subject, determining the blood pressure of the first subject using the personalized model based on the data related to heart activity of the first subject, and sending the blood pressure of the first subject to the terminal in response to the request.

Abstract: The present disclosure relates to systems and methods for analyzing physiological sign information, including information acquisition, data storage, calculation or analysis, processing, result output, etc. The systems may perform a calculation or an analysis on the acquired information by a plurality of algorithms, perform a determination or a processing on the calculation result, and output the determination result of the processed physiological information.

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: Embodiments of the present disclosure disclose a method for detecting an effective pulse wave and provide a sphygmomanometer and a method for controlling the sphygmomanometer.

Abstract: The present disclosure relates to a device, method and system for calculating, estimating, or monitoring the blood pressure of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing heart activity of the subject may be received. A second signal representing time-varying information on at least one pulse wave of the subject may be received. A first feature in the first signal may be identified. A second feature in the second signal may be identified. A pulse transit time based on a difference between the first feature and the second feature may be computed. The blood pressure of the subject may be calculated according to a first model based on the computed pulse transit time and a first set of calibration values, the first set of calibration values relating to the subject.

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 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 device (110), method and system (100) for calculating, estimating, or monitoring the blood pressure of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing heart activity of the subject may be received. A second signal representing time-varying information on at least one pulse wave of the subject may be received. A first feature in the first signal may be identified. A second feature in the second signal may be identified. A pulse transit time based on a difference between the first feature and the second feature may be computed. The blood pressure of the subject may be calculated according to a first model based on the computed pulse transit time and a first set of calibration values, the first set of calibration values relating to the subject.

Abstract: A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network for determining blood pressure may include: receiving a request to determine blood pressure of a first subject from a terminal, obtaining data related to heart activity of the first subject, determining a personalized model for predicting blood pressure with respect to the first subject, determining the blood pressure of the first subject using the personalized model based on the data related to heart activity of the first subject, and sending the blood pressure of the first subject to the terminal in response to the request.

Abstract: A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network for determining blood pressure includes: receiving a request to determine a blood pressure of a first subject from a terminal, obtaining data relating to the first subject, the data relating to the first subject including data relating to heart activity of the first subject and personal information relating to the first subject, extracting target features relating to the first subject from the data relating to the first subject, determining a preliminary blood pressure of the first subject using a prediction model based on the target features relating to the first subject, determining a predicted blood pressure of the first subject using an optimization model based on the preliminary blood pressure and sending the predicted blood pressure of the first subject to the terminal in response to the request.

Abstract: A blood and cardiovascular condition determination apparatus is provided. The blood and cardiovascular condition determination apparatus may include a first pulse wave signal sensor, a second pulse wave signal and a processing unit. The first pulse wave signal sensor may be configured to generate a first pulse wave signal associated with a first section of a living body. The second pulse wave signal sensor may be configured to generate a second pulse wave signal associated with a second section of the living body. The processing unit may determine at least one blood and cardiovascular condition based on the first pulse wave signal and the second pulse wave signal. The at least one blood and cardiovascular condition may include at least one of a blood pressure, a blood sugar level, a blood oxygen level, a blood vessel aging level, or a blood viscosity.

Abstract: Methods and systems are provided for determining a cardiovascular parameter related to a cardiovascular system of a subject such as the pulse transit time (PTT). An exemplary method may include retrieving a photoplethysmogram (PPG) signal of a subject and determining a plurality of first parameters related to the PPG signal. The method may also include determining a second parameter of the subject. The second parameter may indicate a random effect of the subject. The method may further include determining the cardiovascular parameter based at least on the plurality of first parameters and the second parameter via a trained model.

Abstract: Systems and methods for determining an arrhythmia type are provided. A method may include: obtaining an electrocardiogram signal, obtaining a feature vector of the electrocardiogram signal, obtaining a trained prediction model, and determining an arrhythmia type of the electrocardiogram signal based on the trained prediction model and the feature vector. The feature vector includes a threshold crossing sample (TCSC) percent feature, an L-Z complexity feature, an empirical mode decomposition (EMD) complex number feature, a sample entropy feature, and a set of wavelet transform energy features.

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 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.