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 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 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 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 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: 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: 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: Systems, methods, and devices provide a solar cell module which may ensure a tight connection between a junction box and an external function module. The various embodiments provide a solar cell module having a junction box which may independently support an external function module and may firmly fix the external function module onto a base plate of the solar cell module. The various embodiments simplify the connecting structures between the external function box, the junction box, and the base plate of the solar cell module. The various embodiments provide a solar cell junction box which may enable a solar cell system to track the maximum power point of the solar cell modules in the solar cell system. In an embodiment, a junction box may include a printed circuit board (“PCB”).