System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier (46) for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger (48) to calculate and merge the fetal heart rate from the identified peaks.

System (10) for extracting a fetal heart rate from at least one maternal signal using a computer processor (26). The system includes sensors (12-18) attached to a patient to receive abdominal ECG signals and a recorder and digitizer (20) to record and digitize each at least one maternal signal in a maternal signal buffer (22A-22D). The system further includes a peak detector (40) to identify candidate peaks in the maternal signal buffer. The signal stacker (42) of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter (44) to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier (46) for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger (48) to calculate and merge the fetal heart rate from the identified peaks.

A smart wearable device includes a detection apparatus and a case, the detection apparatus specifically includes one set of measuring parts and a plurality of sets of light emitting parts; the one set of measuring parts and the plurality of sets of light emitting parts are inlaid into the case and arranged into a polygon, where each of the plurality of sets of light emitting parts and the one set of measuring parts each occupies one of a plurality of angles of the polygon, and a central position of the polygon is at a specified distance to each angle of the polygon. A specific embodiment of the present invention provides a smart wearable device. One set of measuring parts and a plurality of sets of light emitting parts are disposed into a case and arranged into a polygon.

Embodiments of the invention provide methods for identifying suspect heart or lung sounds and methods for generating an isolated sound sample. In some embodiments, a method for identifying suspect heart or lung sounds comprises obtaining, by processing circuitry, an instance of data samples comprising at least two audio samples and respiratory and/or cardiac cycle data, the audio samples comprising auscultation sounds of an individual, based on the respiratory and/or cardiac cycle data, processing the at least two audio samples to generate a plurality of sound samples, identifying a primary sound sample, generating at least one of a modified secondary sound or a modified baseline sample and combining the modified secondary sound sample or the modified baseline sample with the primary sound sample to generate an isolated sound sample.

Embodiments of the invention provide methods for identifying suspect heart or lung sounds and methods for generating an isolated sound sample. In some embodiments, a method for identifying suspect heart or lung sounds comprises obtaining, by processing circuitry, an instance of data samples comprising at least two audio samples and respiratory and/or cardiac cycle data, the audio samples comprising auscultation sounds of an individual, based on the respiratory and/or cardiac cycle data, processing the at least two audio samples to generate a plurality of sound samples, identifying a primary sound sample, generating at least one of a modified secondary sound or a modified baseline sample and combining the modified secondary sound sample or the modified baseline sample with the primary sound sample to generate an isolated sound sample.

During a personalized monitoring procedure facilitating safe and effective sport or rehabilitation activities, in the preparatory section user anamnesis and activity protocol data are recorded; at an idle phase, based on current heart rate measurement, we decide whether the activity can be continued; at a load phase, we monitor changes in physiological parameters, related to the physical activity, primarily parameters that determine safe heart operation and, if necessary, provide a warning; in a regeneration phase, heart rate deceleration stage is monitored, heart rate variability parameters are calculated, and the result obtained is taken into account when monitoring in relation to the next training, while evaluating the idle phase. Related apparatus comprises a data processing unit connected to measuring electrodes and sensors and a display unit in wireless communication with the data processing unit. The latter is preferably a smartphone, while the data processing unit includes expert knowledge of the physiology of the monitored training that enables procedure execution.

Communication of parent physiological data to an infant may include a first interface device which includes a sensor to record physiological data associated with a heartbeat of a parent, a processor to receive the physiological data from the sensor, and a transceiver; a server which receives the physiological data from the transceiver, accesses an instance of the physiological data from a replay storage location during a loss of communication, assigns a unique identifier, processes the physiological data, modifies the physiological data to be within an allowable threshold or accesses physiological data within the allowable threshold when the physiological data is outside an allowable threshold, filters the physiological data to apply an effect, and transmits the physiological data based on the unique identifier; and a second interface device which includes a transceiver to receive the physiological data and a communication element to communicate the physiological data to the infant.

Communication of parent physiological data to an infant may include a first interface device which includes a sensor to record physiological data associated with a heartbeat of a parent, a processor to receive the physiological data from the sensor, and a transceiver; a server which receives the physiological data from the transceiver, accesses an instance of the physiological data from a replay storage location during a loss of communication, assigns a unique identifier, processes the physiological data, modifies the physiological data to be within an allowable threshold or accesses physiological data within the allowable threshold when the physiological data is outside an allowable threshold, filters the physiological data to apply an effect, and transmits the physiological data based on the unique identifier; and a second interface device which includes a transceiver to receive the physiological data and a communication element to communicate the physiological data to the infant.

A wearable physiological measurement system may include, inter alia, sensors and circuitry for automatically and continually determining a heart rate of a wearer. The system can be charged while worn by the wearer via coupling with a removable modular housing, which may itself provide additional functionality such as a multi-function watch.

A wearable physiological measurement system may include, inter alia, sensors and circuitry for automatically and continually determining a heart rate of a wearer. The system can be charged while worn by the wearer via coupling with a removable modular housing, which may itself provide additional functionality such as a multi-function watch.