An ultrasound system includes: an ultrasound device having a two-dimensional array of ultrasound transducers; and a smartphone or tablet in operative communication with the ultrasound device. The ultrasound system is configured to: collect multiple sets of ultrasound data from multiple regions within the subject; detect fetal heartbeat signals and uterine contraction signals; monitor a fetal heartbeat signal among the fetal heartbeat signals by automatically steering an ultrasound beam to a first region among the multiple regions within the subject to collect first further ultrasound data from the first region based on a quality of the fetal heartbeat signal; and monitor a uterine contraction signal among the uterine contraction signals by automatically steering the ultrasound beam to a second region among the multiple regions within the subject to collect second further ultrasound data from the second region based on a quality of the uterine contraction signal.

Various examples are provided for non-contact vital sign acquisition. Information can be provided regarding vibrations of a target using a radar signal such as, e.g., non-contact vital sign measurement. Examples include estimation of heart rate, change in heart rate, respiration rate, and/or change in respiration rate, for a human or other animal. Implementations can produce one or both rates of vibration and/or change in one or both rates of vibration for a target other than an animal or human experiencing two vibrations at the same time, such as a motor, a vehicle incorporating a motor, or another physical object. Some implementations can estimate the respiration movement in the radar baseband output signal. The estimated respiration signal can then be subtracted from radar signals in the time domain and, optionally, can be further enhanced using digital signal processing techniques, to produce an estimate of the heartbeat pulses.

Various examples are provided for non-contact vital sign acquisition. Information can be provided regarding vibrations of a target using a radar signal such as, e.g., non-contact vital sign measurement. Examples include estimation of heart rate, change in heart rate, respiration rate, and/or change in respiration rate, for a human or other animal. Implementations can produce one or both rates of vibration and/or change in one or both rates of vibration for a target other than an animal or human experiencing two vibrations at the same time, such as a motor, a vehicle incorporating a motor, or another physical object. Some implementations can estimate the respiration movement in the radar baseband output signal. The estimated respiration signal can then be subtracted from radar signals in the time domain and, optionally, can be further enhanced using digital signal processing techniques, to produce an estimate of the heartbeat pulses.

A sensor network for pregnancy monitoring of a subject includes a plurality of sensor systems time-synchronized to each other, each sensor system placed on a respective region of the subject and having a sensor member configured to detect data associated with at least one of physiological parameters of the subject, and a Bluetooth low energy system-on-a-chip configured to process and transmit the detected data; and a controller adapted in wireless communication with the plurality of sensor systems and configured to receive, from the plurality of sensor systems, to process, and to display the physiological parameters.

A sensor network for pregnancy monitoring of a subject includes a plurality of sensor systems time-synchronized to each other, each sensor system placed on a respective region of the subject and having a sensor member configured to detect data associated with at least one of physiological parameters of the subject, and a Bluetooth low energy system-on-a-chip configured to process and transmit the detected data; and a controller adapted in wireless communication with the plurality of sensor systems and configured to receive, from the plurality of sensor systems, to process, and to display the physiological parameters.

The invention relates to a cardiotocography girdle. It is in the form of a spherical cap and comprises at least nineteen ultrasound transducers, denoted USTs, which are positioned on a first support layer (23) made of an elastic material, each UST being positioned in a support cavity (20), said girdle comprising a second support layer (24), likewise made of an elastic material and which encapsulates said USTs housed in the support cavities (20) with the first support layer (23), assembly being performed by adhesively bonding the first support layer (23) to the second support layer (24).

The invention relates to a cardiotocography girdle. It is in the form of a spherical cap and comprises at least nineteen ultrasound transducers, denoted USTs, which are positioned on a first support layer (23) made of an elastic material, each UST being positioned in a support cavity (20), said girdle comprising a second support layer (24), likewise made of an elastic material and which encapsulates said USTs housed in the support cavities (20) with the first support layer (23), assembly being performed by adhesively bonding the first support layer (23) to the second support layer (24).

A closed loop system using in-ear infrasonic hemodynography and method therefor are disclosed. The system includes an in-ear biosensor system that detects biosignals including infrasonic signals of an individual, and sends the biosignals to an analysis system that identifies physiological data from the biosignals that is associated with the autonomic nervous system of the individual. External sensors can detect other physiological data of the individual during environmental conditions and under different stimuli, and send the other data and the context under which it was detected to the analysis system. The analysis system can train a machine learning model with the identified physiological data in conjunction with the other physiological data, execute actions in response to new information to adjust the autonomic nervous system of the individual, optimize their performance on tasks, and train the individual to adjust their autonomic nervous system in response to new stimuli.

A closed loop system using in-ear infrasonic hemodynography and method therefor are disclosed. The system includes an in-ear biosensor system that detects biosignals including infrasonic signals of an individual, and sends the biosignals to an analysis system that identifies physiological data from the biosignals that is associated with the autonomic nervous system of the individual. External sensors can detect other physiological data of the individual during environmental conditions and under different stimuli, and send the other data and the context under which it was detected to the analysis system. The analysis system can train a machine learning model with the identified physiological data in conjunction with the other physiological data, execute actions in response to new information to adjust the autonomic nervous system of the individual, optimize their performance on tasks, and train the individual to adjust their autonomic nervous system in response to new stimuli.

The present technology relates to a display device, a display method, and an ultrasonic diagnostic system capable of providing a realistic ultrasonic diagnostic result. An image corresponding to an image signal obtained from an output signal of an ultrasonic diagnostic device is displayed on a display panel. Moreover, the display panel is vibrated according to a sound vibration signal obtained from the output signal by an actuator disposed on a back surface side of the display panel, whereby sound that is audibly sensed and vibration that is tactilely sensed are output on the display panel. The present technology can be applied to, for example, the ultrasonic diagnostic system or the like that performs inspection using ultrasonic waves.