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US 11,452,497 B2Granted
Injectable hemodynamic monitoring devices, systems and methods
AssigneeCoravie Medical, Inc.
InventorsAimee Garza, Tanzania Sewell
Life of this patent
Estimating the term…
Abstract
An implantable sensor system using one or more sensor implants comprised of micro-electrical mechanical system (MEMS) sensors for the accurate and continuous measurement of physiological hemodynamic signals such as diastolic and systolic blood pressure. Sensor implants are configured to be subcutaneously injected to a placement site adjacent a blood vessel. In some embodiments, sensors comprise micromachined ultrasonic transducers.
Claims23
A hemodynamic monitoring method, comprising:
- subcutaneously placing a sensor implant in a patient in tissue adjacent a target blood vessel;
- generating a data stream with said sensor implant from which pulse wave velocity of the target blood vessel during a sensing period can be determined;
- and
- transmitting said data stream to a computing device configured to determine pulse wave velocity for the target blood vessel and blood pressure for the patient using said data stream;
- wherein said generating a data stream comprises:
- generating and receiving pulse echoes representing inner and outer walls of the target blood vessel at first and second sensing locations with first and second ultrasound sensors;
- detecting changes in target blood vessel diameter at the first and second sensing locations based on said pulse echoes;
- and
- measuring a time between detecting of a change in target blood vessel diameter at the first sensing location and at the second sensing location.
6 more elements
A hemodynamic monitoring method, comprising:
- subcutaneously placing a sensor implant in a patient in tissue adjacent a target blood vessel;
- generating a data stream with said sensor implant from which pulse wave velocity of the target blood vessel during a sensing period can be determined;
- and
- transmitting said data stream to a computing device configured to determine pulse wave velocity for the target blood vessel and blood pressure for the patient using said data stream;
- wherein said generating a data stream with the sensor implant comprises:
- generating data representative of a change in target blood vessel diameter at a first location;
- generating data representative of a change in target blood vessel diameter at a second location;
- generating data representative of a distance between the first location and the second location;
- and
- generating data representative of a time difference between the change in target blood vessel diameter at the first location and the second location.
7 more elements
A hemodynamic monitoring method, comprising:
- subcutaneously placing a sensor implant in a patient in tissue adjacent a target blood vessel;
- generating a data stream with said sensor implant from which pulse wave velocity of the target blood vessel during a sensing period can be determined;
- and
- transmitting said data stream to a computing device configured to determine pulse wave velocity for the target blood vessel and blood pressure for the patient using said data stream;
- wherein said sensor implant is a unitary sensor implant comprising first and second spaced apart ultrasound transducers, an accelerometer and a temperature sensor;
- and
- wherein the first and second sensor ultrasound transducers each comprise an ultrasonic transducer array, and said generating a data stream comprises:
- generating and receiving pulse echoes representing inner and outer walls of the target blood vessel at a first sensing location with the first ultrasound transducer;
- generating and receiving pulse echoes representing inner and outer walls of the target blood vessel at a second sensing location with the second ultrasound transducer;
- detecting changes in target blood vessel diameter at the first and second sensing locations based on said pulse echoes;
- measuring a time between detecting of a change in target blood vessel diameter between the first and second sensing locations;
- detecting patient movement or changes in patient position with the accelerometer;
- and
- detecting patient temperature with the temperature sensor.
11 more elements
A hemodynamic monitoring method, comprising:
- subcutaneously placing a sensor implant in a patient in tissue adjacent a target blood vessel;
- generating a data stream with said sensor implant from which pulse wave velocity of the target blood vessel during a sensing period can be determined;
- and
- transmitting said data stream to a computing device configured to determine pulse wave velocity for the target blood vessel and blood pressure for the patient using said data stream;
- wherein said subcutaneously placed sensor implant includes first and second ultrasound sensors spaced apart at fixed distance, and said generating and transmitting steps comprise:
- receiving an ultrasound imaging signal from the first ultrasound sensor depicting imaging of a target blood vessel at a first sensing location;
- detecting a cardiac cycle pulse in the first imaging signal;
- receiving an ultrasound imaging signal from the second ultrasound sensor depicting imaging of the target blood vessel at a second sensing location spaced at a sensing distance from the first sensing location;
- detecting the cardiac cycle pulse in the second imaging signal;
- determining the sensing distance based on the fixed distance and the first and second imaging signals;
- measuring time between the detection of the cardiac cycle pulse at the first and second sensing locations;
- detecting patient movement during a timeframe encompassing the detecting of the cardiac cycle pulse at the first and second sensing locations;
- and
- transmitting a signal containing data representing the detected patient movement, determined sensing distance and measured time for receipt at a computing device outside a patient's body configured to determine patient blood pressure during the timeframe based on said data contained in the transmitted signal.
11 more elements
A hemodynamic monitoring method, comprising:
- subcutaneously placing a sensor implant in a patient in tissue adjacent a target blood vessel;
- generating a data stream with said sensor implant from which pulse wave velocity of the target blood vessel during a sensing period can be determined;
- and
- transmitting said data stream to a computing device configured to determine pulse wave velocity for the target blood vessel and blood pressure for the patient using said data stream;
- wherein:
- said subcutaneously placing the sensor implant in a patient in tissue comprises placing the sensor implant at a placement location outside a target blood vessel within about 2 mm to about 50 mm of the target blood vessel, said implant comprising at least one sensor configured to detect changes in vessel diameter at first and second spaced apart sensing locations along said vessel, wherein a distance between said first and second sensing locations along said vessel varies based on orientation of the implant with respect to the vessel;
- said generating a data stream with said sensor implant comprises
- detecting vessel diameter at the first and second sensing locations;
- and
- generating a data stream correlated to a sensing period, the data stream comprising
- data representative of a change in target vessel diameter at the first sensing location,
- data representative of a change in target vessel diameter at the second sensing location,
- data representative of the distance between the first and second sensing locations,
- data representative of a time difference between the change in target blood vessel diameter at the first sensing location and the second sensing location,
- data representative of patient movement or change in position, and
- data representative of vessel inner and outer diameter;
- and
- said transmitting said data stream comprises transmitting the data stream to an external system, whereby said data stream is accessible by a computing device to determine pulse wave velocity for the vessel and patient blood pressure during the sensing period based on said data stream.
15 more elements
Dependencies are inferred from the claim text.