# US 2026/0224899 A1 · Systems for pacing rate programming

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- Number: US 2026/0224899 A1
- Document ID: US20260224899A1
- Status: Published application
- Kind: A1
- Application number: 19/152,134
- Filed: 2024-01-26
- Published: 2026-08-06
- Earliest claimed: 2023-01-30
- Assignees: BaroPace, Inc.
- Applicants: Baropace, Inc.
- Inventors: Michael BURNAM; Srikanth JADCHERLA; Taral OZA
- Web page: https://patentgrep.com/patent/US20260224899A1

## CPC

- A61N 1/36139: {with automatic adjustment}
- A61N 1/36585: {controlled by two or more physical parameters}
- A61N 1/36564: {controlled by blood pressure}
- A61N 1/37247: {User interfaces, e.g. input or presentation means}
- A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B)

## Abstract

Disclosed are methods and systems for outputting a pacing rate, including: receiving a heart rate and a blood pressure of a patient; determining a first pacing rate to modify the heart rate based on the heart rate and the blood pressure; outputting the first pacing rate; receiving a subjective input subsequent to outputting the first pacing rate; determining a second pacing rate based on the subjective input; and outputting the second pacing rate.

## Claims

### Claim 1

A method for outputting a pacing rate, the method comprising:
receiving a heart rate and a blood pressure of a patient;
determining a first pacing rate to modify the heart rate based on the heart rate and the blood pressure;
outputting the first pacing rate;
receiving a subjective input subsequent to outputting the first pacing rate;
determining a second pacing rate based on the subjective input and the first pacing rate; and
outputting the second pacing rate.

### Claim 2 (depends on 1)

The method of claim 1, wherein determining the first pacing rate to modify the heart rate is further based on at least one of physiological parameters, environmental parameters, and/or emotional parameters.

### Claim 3 (depends on 2)

The method of claim 2, wherein the physiological parameters include one or more of the patient's current heart rate, current blood pressure, temperature, medication compliance, blood oxygen level, glucose level, blood electrolytes level, an accelerometer value, a respiratory rate sensor value, a thoracic impedance, an impedance, portions of cardiac rate such as atrial rate, ventricular rate, atrioventricular conduction, rhythm irregularities, autonomic nervous system (ANS) function, glucose, skin electrolytes, galvanic skin response, Photoplethysmography (PPG) values, electroencephalogram (EEG) wave, and/or urination parameters.

### Claim 4 (depends on 2)

The method of claim 2, wherein the environmental parameters include one or more of a patient diet, a time of day, an ambient temperature, a patient location, an ambient oxygen concentration, or a humidity.

### Claim 5 (depends on 1)

The method of claim 1, wherein the first pacing rate or the second pacing rate is output by a pacing machine learning algorithm.

### Claim 6 (depends on 1)

The method of claim 1, wherein the blood pressure is systolic or diastolic.

### Claim 7 (depends on 1)

The method of claim 1, further comprising:
determining whether the blood pressure of the patient is one of above a first threshold blood pressure or below a second threshold blood pressure; and
determining the first pacing rate further based on whether the blood pressure of the patient is one of above the first threshold blood pressure or below the second threshold blood pressure.

### Claim 8 (depends on 7)

The method of claim 7, wherein the first pacing rate is one of higher than the heart rate by a first pacing value if the blood pressure of the patient exceeds the first threshold blood pressure or is lower than the heart rate by a second pacing value different than the first pacing value, if the blood pressure of the patient is below the second threshold blood pressure.

### Claim 9 (depends on 1)

The method of claim 1, wherein upon expiration of a predetermined time period or a dynamically determined time period:
receiving an updated heart rate and an updated blood pressure of the patient;
determining a third pacing rate to modify the updated heart rate based on the updated heart rate and the updated blood pressure;
outputting the third pacing rate;
receiving an updated subjective input subsequent to outputting the third pacing rate;
determining a fourth pacing rate based on the updated subjective input and the third pacing rate; and
outputting the fourth pacing rate.

### Claim 10 (depends on 1)

The method of claim 1, wherein the first and second pacing rates are further determined based on patient attributes.

### Claim 11 (depends on 1)

The method of claim 1, wherein receiving the subjective input comprises:
receiving a sensor input from a physiological sensor;
providing the sensor input to a pseudo-subjective machine learning model trained to generate outputs based on at least one of historical sensor inputs, simulated sensor inputs, historical subjective inputs, or simulated subjective inputs; and
receiving, as an output from the pseudo-subjective machine learning model, the subjective input.

### Claim 12 (depends on 1)

The method of claim 1, wherein the first pacing rate is further based on one of a blood pressure device, a pacing device, or a subjective input device.

### Claim 13

A system for outputting a pacing rate, the system comprising:
a processor; and
a memory having programming instructions stored thereon, which, when executed by the processor, causes the system to perform operations comprising:
receiving a heart rate and a blood pressure of a patient;
determining a first pacing rate to modify the heart rate based on the heart rate and the blood pressure;
outputting the first pacing rate;
receiving a subjective input subsequent to outputting the first pacing rate;
determining a second pacing rate based on the subjective input; and
outputting the second pacing rate.

### Claim 14 (depends on 13)

The system of claim 13, wherein determining the first pacing rate to modify the heart rate is further based on at least one of physiological, environmental, and/or emotional parameters.

### Claim 15 (depends on 13)

The system of claim 13, wherein the operations further comprise:
determining whether the blood pressure of the patient is one of above a first threshold blood pressure or below a second threshold blood pressure;
determining the first pacing rate further based on whether the blood pressure of the patient is one of above the first threshold blood pressure or below the second threshold blood pressure.

### Claim 16 (depends on 13)

The system of claim 13, wherein receiving the subjective input comprises:
receiving a sensor input from a physiological sensor;
providing the sensor input to a pseudo-subjective machine learning model trained to output the subjective input based on at least one of historical sensor inputs, simulated sensor inputs, historical subjective inputs, or simulated subjective inputs; and
receiving, from the pseudo-subjective machine learning model, the subjective input.

### Claim 17

A non-transitory medium for outputting a pacing rate and having a sequence of instructions, which, when executed by a processor, causes a computing system to perform operations comprising:
receiving a heart rate and a blood pressure of a patient;
determining a first pacing rate to modify the heart rate based on the heart rate and the blood pressure;
outputting the first pacing rate;
receiving a subjective input subsequent to outputting the first pacing rate;
determining a second pacing rate based on the subjective input; and
outputting the second pacing rate.

### Claim 18 (depends on 17)

The non-transitory medium of claim 17, wherein determining the first pacing rate to modify the heart rate is further based on at least one of physiological, environmental, and/or emotional parameters.

### Claim 19 (depends on 17)

The non-transitory medium of claim 17, further comprising:
determining whether the blood pressure of the patient is one of above a first threshold blood pressure or below a second threshold blood pressure; and
determining the first pacing rate further based on whether the blood pressure of the patient is one of above the first threshold blood pressure or below the second threshold blood pressure.

### Claim 20 (depends on 17)

The non-transitory medium of claim 17, wherein receiving the subjective input comprises:
receiving a sensor input from a physiological sensor;
providing the sensor input to a pseudo-subjective machine learning model trained to output the subjective input based on at least one of historical sensor inputs, simulated sensor inputs, historical subjective inputs, or simulated subjective inputs; and
receiving, from the pseudo-subjective machine learning model, the subjective input.
