Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

Abstract: Devices and systems are provided that include an auxiliary electrocardiogram (ECG) assembly that can be utilized to acquire ECG data of a patient and transmit the ECG data to a handheld probe, such as an ultrasound probe. The handheld probe may include a housing and an ultrasound sensor that is at least partially surrounded by the housing. The ultrasound sensor may be located at or near a sensor face of the handheld probe. An auxiliary ECG connector is included that is at least partially exposed by the housing of the handheld probe. The auxiliary ECG connector may be utilized to electrically couple one or more auxiliary ECG leads to the handheld probe.

Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

Abstract: Systems and methods for controlling parameters associated with ultrasound images displayed on a computing device, based on sensed motion of the computing device, are provided herein. One such system includes an ultrasound probe and a computing device coupled to the ultrasound probe and operable to receive ultrasound signals from the ultrasound probe. The computing device includes a motion sensor that senses motion of the computing device, a display that displays ultrasound images associated with the ultrasound signals received from the ultrasound probe, and an image display controller that controls at least one parameter associated with the displayed ultrasound images based on the sensed motion.

Abstract: Systems, methods and devices for providing combined ultrasound, electrocardiography, and auscultation data are provided. One such system includes an ultrasound sensor, an electrocardiogram (EKG) sensor, an auscultation sensor, and a computing device. The computing device includes memory and a processor, and the processor receives signals from the ultrasound sensor, the EKG sensor, and the auscultation sensor. Artificial intelligence techniques may be employed for automatically analyzing the data obtained from the ultrasound sensor, the EKG sensor, and the auscultation sensor and producing a clinically-relevant determination based on a combined analysis of the data.

Abstract: Thermal therapy ablation detection uses medical diagnostic ultrasound. Since acoustically measured information becomes unreliable for temperature estimation at a temperature close the time at which treatment is complete, the information is instead or additionally used to detect a tissue condition indicating sufficient treatment, such as detecting cell death. Using multiple different types of parameters as input and/or a machine-learnt classifier, the completion of treatment from a tissue alteration perspective is detected using the transition that makes temperature estimation less reliable.

Abstract: Reduction of motion artifacts from flexible transducers are provided in ultrasound imaging. Temporal and/or amplitude modulation of an acoustic radiation force impulse pushing pulse may be designed to control the motion of a moveable transducer. The motion may be controlled to stabilize the transducer in one position or in a predictable (e.g. linear) movement in order to better estimate tissue displacement. Reduced motion artifact may be provided with transmitted waveforms requiring less time and power than required of a brute force approach. For example, pre-loading transmissions may not be provided. As another example, pre-loading transmissions may require less than 10 ms.

Abstract: Reduction of motion artifacts from flexible transducers are provided in ultrasound imaging. Temporal and/or amplitude modulation of an acoustic radiation force impulse pushing pulse may be designed to control the motion of a moveable transducer. The motion may be controlled to stabilize the transducer in one position or in a predictable (e.g. linear) movement in order to better estimate tissue displacement. Reduced motion artifact may be provided with transmitted waveforms requiring less time and power than required of a brute force approach. For example, pre-loading transmissions may not be provided. As another example, pre-loading transmissions may require less than 10 ms.