The invention provides a system and method for measuring vital signs and motion from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

The invention provides a system and method for measuring vital signs and motion from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

Accurate peak detection in physiological signals is fundamental for several tasks related to health monitoring. A method for fine-tuning candidate peak positions and detecting peaks of interest in signals is provided. The fine-tuning method addresses the problem of low signal resolution and reduces the error with respect to the gold-standard reference signal usually collected at higher sampling frequencies. Obtaining accurate peak positions without modifying the sampling frequency is essential in the context of wearable devices, which often present limited computational resources and storage. Furthermore, the method enables selection of the peaks of interest by classifying their tuned positions according to a set of features extracted from morphological characteristics of the signal. The present pipeline is illustrated through inter-beat interval (IBI) estimation from wrist-PPG signals collected from smartwatches. The method may also be suited to the refinement and detection of different fiducial points, including peaks and valleys of interest.

Accurate peak detection in physiological signals is fundamental for several tasks related to health monitoring. A method for fine-tuning candidate peak positions and detecting peaks of interest in signals is provided. The fine-tuning method addresses the problem of low signal resolution and reduces the error with respect to the gold-standard reference signal usually collected at higher sampling frequencies. Obtaining accurate peak positions without modifying the sampling frequency is essential in the context of wearable devices, which often present limited computational resources and storage. Furthermore, the method enables selection of the peaks of interest by classifying their tuned positions according to a set of features extracted from morphological characteristics of the signal. The present pipeline is illustrated through inter-beat interval (IBI) estimation from wrist-PPG signals collected from smartwatches. The method may also be suited to the refinement and detection of different fiducial points, including peaks and valleys of interest.

Systems and methods for monitoring patient vasoactivity are discussed. An exemplary patient monitor system includes a sensor circuit configured to generate a heart sound (HS) metric using a HS signal sensed from a patient, and a vasoactivity monitor configured to monitor vasoactivity, such as degree of vasoconstriction or vasodilation, using the HS metric. The system can provide the monitored vasoactivity to a user to alert patient hemodynamic responses to vasoactive drugs, or initiate or adjust a vasoactive therapy according to the vasoactivity. The system may use the monitored vasoactivity to detect a medical condition such as worsening heart failure, pulmonary edema, or syncope.

The present method is a method for executing a computational fluid analysis on a blood flow at a blood vessel region to be analyzed, and displaying the analysis results, comprising the steps of: obtaining, by a computer, a vascular diameter (d) of an inlet and/or outlet of a blood vessel region to be analyzed from medical images which include said blood vessel region; obtaining, by the computer, an estimated flow rate (Q) at the inlet and/or outlet based on the vascular diameter (d); and applying, by the computer, the estimated flow rate (Q) to a blood flow characteristics pattern of said blood vessel region and outputting blood flow characteristics at the inlet and/or outlet of the analysis object site.

The present method is a method for executing a computational fluid analysis on a blood flow at a blood vessel region to be analyzed, and displaying the analysis results, comprising the steps of: obtaining, by a computer, a vascular diameter (d) of an inlet and/or outlet of a blood vessel region to be analyzed from medical images which include said blood vessel region; obtaining, by the computer, an estimated flow rate (Q) at the inlet and/or outlet based on the vascular diameter (d); and applying, by the computer, the estimated flow rate (Q) to a blood flow characteristics pattern of said blood vessel region and outputting blood flow characteristics at the inlet and/or outlet of the analysis object site.

A wireless intraluminal device and an associated system for treating and diagnosing patients are provided. In one embodiment, the wireless intraluminal device includes a flexible elongate member including a proximal portion and a distal portion; a sensor assembly coupled to the distal portion of the flexible elongate member; a cable coupled to the sensor assembly and extending along the flexible elongate member; and a wireless transceiver positioned within the flexible elongate member, wherein the wireless transceiver is in communication with the sensor assembly via the cable. A wireless communication component wirelessly transmits a sensor measurement collected by the sensor assembly to a sensor measurement processing system via a wireless link for physiological data generation at the sensor measurement processing system.

A wireless intraluminal device and an associated system for treating and diagnosing patients are provided. In one embodiment, the wireless intraluminal device includes a flexible elongate member including a proximal portion and a distal portion; a sensor assembly coupled to the distal portion of the flexible elongate member; a cable coupled to the sensor assembly and extending along the flexible elongate member; and a wireless transceiver positioned within the flexible elongate member, wherein the wireless transceiver is in communication with the sensor assembly via the cable. A wireless communication component wirelessly transmits a sensor measurement collected by the sensor assembly to a sensor measurement processing system via a wireless link for physiological data generation at the sensor measurement processing system.

A method for measuring sound from vortices in the carotid artery comprising: first and second quality control provisions, wherein the quality control compares detected sounds to predetermined sounds, and upon confirmation of the quality control procedures, detecting sounds generated by the heart and sounds from vortices in the carotid artery for at least 30 seconds.