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: The present disclosure relates to a vital sign extraction method and system. The system comprises a receiving module for receiving at least one type of physiological information; a feature extraction module configured to extract a first feature and a second feature of the physiological information by using a first technique and a second technique; a processing module for performing a matching calculation on the first feature and the second feature, marking matching results, and identifying a noise result of the physiological information based on the matching results; and a calculation module for calculating a physiological sign of a living body.

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 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 vital sign extraction method and system. The system comprises a receiving module for receiving at least one type of physiological information; a feature extraction module configured to extract a first feature and a second feature of the physiological information by using a first technique and a second technique; a processing module for performing a matching calculation on the first feature and the second feature, marking matching results, and identifying a noise result of the physiological information based on the matching results; and a calculation module for calculating a physiological sign of a living body.

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 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.

Abstract: A stress management device is formed in an integrated design that enables pulse measurement, display of results and a power supply gathered into a small finger clip device. The stress management device includes a non-invasive infrared sensor that identifies and measures pulse rate variability and utilizes that information to calculate the power spectrum distribution and create a curve of the results multiple times per second. The device incorporates a display screen on which a graphic image of a pair of lungs filling and emptying to encourage the user into a predetermined breathing pattern known to reduce stress levels during a training period. After the completion of the training period, the device presents a score reflecting the percentage of times the user achieved high, medium and low relaxation states, and a pie chart reflecting the distribution of the states of relaxation calculated during the training period.

Abstract: An anti-virus method which includes receiving, by a first thread, data packets belonging to the same data stream, and sequentially buffering payload data of data packets bearing file content among the received data packets into a first queue, reading, by a second thread, payload data of at least one data packet from a start position of the first queue, and determining whether payload data in the first queue is file content of a compressed file. If yes, identifying a compressed format of the compressed file, querying a decompression algorithm from a mapping between a compressed format and a decompression algorithm, by using the queried decompression algorithm, reading payload data of data packets one by one from the first queue, and performing decompression processing separately on payload data that is read each time, and performing anti-virus detection separately on file content that is obtained.

Abstract: A stress management device is formed in an integrated design that enables pulse measurement, display of results and a power supply gathered into a small finger clip device. The stress management device includes a non-invasive infrared sensor that identifies and measures pulse rate variability and utilizes that information to calculate the power spectrum distribution and create a curve of the results multiple times per second. The device incorporates a display screen on which a graphic image of a pair of lungs filling and emptying to encourage the user into a predetermined breathing pattern known to reduce stress levels during a training period. After the completion of the training period, the device presents a score reflecting the percentage of times the user achieved high, medium and low relaxation states, and a pie chart reflecting the distribution of the states of relaxation calculated during the training period.