Hand-held apparatus for noninvasive measurement of a heart performance metric
US-12150742-B1 · Nov 26, 2024 · US
US2024156356A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024156356-A1 |
| Application number | US-202318391531-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 20, 2023 |
| Priority date | Apr 30, 2020 |
| Publication date | May 16, 2024 |
| Grant date | — |
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A system and method for promoting and safeguarding the wellbeing of patients in relation to a fluid injection may obtain patient data; determine, based on the patient data, an initial risk prediction for a patient for a fluid injection to be administered to the patient, the initial risk prediction including a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, after the fluid injection is started, sensor data associated with the patient; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction including a probability that the patient experiences the at least one adverse event in response to the fluid injection; and provide, to the user device, the current risk prediction.
Opening claim text (preview).
1 . A system comprising: at least one processor programmed and/or configured to: obtain patient data associated with the patient; determine, based on the patient data, an initial risk prediction for the patient associated with a fluid injection to be administered to the patient, wherein the initial risk prediction includes a probability that the patient experiences at least one adverse event in response to the fluid injection; provide, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determine, using at least one sensor, sensor data associated with the patient and determined after the fluid injection is started; determine, based on the sensor data determined after the fluid injection is started, a current risk prediction for the patient associated with the fluid injection, wherein the current risk prediction includes a probability that the patient experiences the at least one adverse event in response to the fluid injection; provide, to the user device, the current risk prediction; determine, based on the sensor data determined after the fluid injection is started, a patient distress level; and provide, to the user device, the patient distress level. 2 - 26 . (canceled) 27 . The system of claim 1 , wherein the at least one processor is further programmed and/or configured to: compare the patient distress level to at least one threshold level; and in response to determining that the patient distress level satisfies the at least one threshold level, at least one of: provide, to a user device, an alert; and automatically control at least one of: (i) a fluid injection system to stop the fluid injection; and (ii) an imaging system to adjust a timing of an imaging operation. 28 . The system of claim 27 , wherein the at least one processor is further programmed and/or configured to determine the distress level of the patient by: determining a change in one or more parameters of the sensor data over a period of time, and comparing the change in the one or more parameters to at least one threshold change. 29 . The system of claim 28 , wherein the sensor data includes at least one of the following parameters associated with the patient: a heart rate, an oxygen saturation, a skin resistivity, a skin color, a movement level, a temperature proximate an injection site, or any combination thereof. 30 . The system of claim 27 , wherein the at least one sensor includes at least one of the following sensors: a pulse oximeter, a skin resistance sensor, a skin color sensor, an accelerometer, a temperature sensor, or any combination thereof. 31 . The system of claim 27 , further comprising: a sensor device, wherein the at least one sensor is included in the sensor device, wherein the sensor device includes a glove shaped housing configured to be worn on a hand of the patient, wherein the housing includes the at least one sensor and a wireless communication device, and wherein the wireless communication device is configured to wirelessly transmit the sensor data to an external device. 32 . The system of claim 27 , further comprising: a sensor device, wherein the at least one sensor is included in the sensor device, wherein the sensor device includes: an elongated housing extending between a first end and a second end; and a pulse oximeter connected to the elongated housing via a wire, wherein the elongated housing is configured to surround at least one of a hand and a wrist of a patient, wherein the elongated housing includes a wireless communication device and at least one of a skin resistance sensor, an accelerometer, a temperature sensor, or any combination thereof, wherein the pulse oximeter and the at least one of the skin resistance sensor, the accelerometer, the temperature sensor, or any combination thereof are configured to determine the sensor data, and wherein the wireless communication device is configured to wirelessly transmit the sensor data to an external device. 33 - 38 . (canceled) 39 . A system comprising: at least one sensor configured to determine sensor data associated with a patient at least one of before, during, and after a fluid injection associated with the patient; and at least one processor programmed and/or configured to: determine, based on the sensor data, a wellbeing level of the patient at least one of before, during, and during the fluid injection; and provide, to a user device, the wellbeing level of the patient. 40 . A system comprising: at least one processor programmed and/or configured to: obtain sensor data associated with the patient and determined after a fluid injection associated with the patient is started; determine, based on the sensor data determined after the fluid injection is started, a wellbeing level of the patient during the fluid injection; provide, to a user device, the wellbeing level of the patient; and automatically control, based on the wellbeing level of the patient, at least one of: (i) a fluid injection system to adjust at least one of a maximum flow rate, a maximum pressure, an injection duration, a total volume of fluid, or any combination thereof, of the fluid injection; and (ii) an imaging system to adjust a timing of an imaging operation. 41 - 56 . (canceled) 57 . A method comprising: obtaining, with at least one processor, patient data associated with a patient; determining, with the at least one processor, based on the patient data, an initial risk prediction for the patient associated with a fluid injection to be administered to the patient, wherein the initial risk prediction includes a probability that the patient experiences at least one adverse event in response to the fluid injection; providing, with the at least one processor, to a user device, before the fluid injection is administered to the patient, the initial risk prediction; determining, with at least one sensor, after the fluid injection is started, sensor data associated with the patient; determining, with the at least one processor, based on the sensor data determined after the fluid injection is started, a current risk prediction for the patient associated with the fluid injection, wherein the current risk prediction includes a probability that the patient experiences the at least one adverse event in response to the fluid injection; and providing, with the at least one processor, to the user device, the current risk prediction; determining, with the at least one processor, based on the sensor data determined after the fluid injection is started, a patient distress level; comparing, with the at least one processor, the patient distress level to at least one threshold level; and in response to determining that the patient distress level satisfies the at least one threshold level, at least one of: providing, with the at least one processor, to a user device, an alert; and automatically controlling, with the at least one processor, at least one of: (i) a fluid injection system to stop the fluid injection; and (ii) an imaging system to adjust a timing of an imaging operation. 58 - 80 . (canceled) 81 . The method of claim 57 , wherein the determining the patient distress level includes: determining a change in one or more parameters of the sensor data over a period of time, and comparing the change in the one or more parameters to at least one threshold change. 82 . The method of claim 81 , wherein the sensor data includes at least one of the following parameters associated with the patient: a heart rate, an oxygen saturation, a skin resistivity, a movement le
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