Intellectual property
Patent-backed breathing science
BreatheSimple is built on years of research, protected by a portfolio of 12 granted patents and pending applications spanning breathing measurement, neuroplastic training, and sleep-disordered breathing.
Below is a plain-language overview of that portfolio. Each entry links an invention to its official title and publication or grant number; expand any item to read the filing's own abstract. This summary is provided for general information and does not represent the full legal scope of any claim.
Granted patents 4
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Personalized Neuroplastic Breath Training
GrantedUS 12,527,477 · granted Mar 2023 · pub. US 2023/0355104
A phone or wearable that runs personalized breath-training sessions — judging breathing quality from sensor data, and re-initiating training based on how you breathe while asleep.
Official abstract
A portable smart device including a coupled sensor sensing a physiological parameter of a user, and a processor. The processor is configured to perform a breath training session by instructing the user to breathe in a specified manner, receiving physiological data from the sensor, determining a breathing quality based on that data, and stopping the breath training when the breathing quality reaches a stopping threshold. The processor is further configured to evaluate initiation of a further session by receiving physiological data while the user is sleeping, and repeating the session when the data indicates the breathing quality reaches a starting threshold.
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Improvements to Automatic Positive Airway Pressure Machines
GrantedUS 2026/0054021 · issued Oct 2023
A PAP (positive airway pressure) machine that adapts its pressure in real time to a physiological sensor worn by the user, instead of holding a single fixed prescribed pressure.
Official abstract
A positive airway pressure (PAP) device including an air pump for blowing air into a mask worn by a user, a sensor for detecting air pressure or air flow-rate produced by the air pump, a communication interface for communicating with a physiological parameter sensor worn by the user, and a processor. The processor controls the air pump to achieve a prescribed air pressure or flow-rate, and adjusts that prescribed pressure or flow-rate in response to the detected physiological parameter.
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Alleviation and Outcome Monitoring of Sleep-Disordered Breathing
GrantedUS 10,219,740 · pub. US 2017/0172494
Measures whether breath training is actually working, by tracking physiological trends both awake and asleep over time.
Official abstract
Systems and methods for determining the effectiveness of breath training regimens. A sensor assembly detects data indicative of at least one physiological parameter of a user during breath training sessions while awake and while asleep. A processor analyzes the data and determines effectiveness by determining trends of the parameter over time, including changes occurring while the user is asleep.
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Automated Systems, Methods, and Apparatus for Breath Training
GrantedUS 9,830,832 · granted Mar 2013 · pub. US 2014/0178844
A foundational breath-training system: a sensor detects physiological data while a processor guides the trainee through a regimen and gives feedback.
Official abstract
Systems, methods and apparatus for breath training. The apparatus comprises an output device, at least one sensor configured to detect physiological data from a trainee, and a data processor configured to provide instructions to a trainee based on a breath training regimen and to receive and analyze the detected physiological data. The methods comprise instructing a trainee based on a regimen, detecting physiological data, analyzing it, and providing feedback based on the analysis.
Patents pending 8
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Loop Gain Detection and Application to Breath Training
Pendingpub. US 2024/0358319
Determines your breathing “loop gain” — how strongly your control system over-reacts — from a short guided breathing session while awake.
Official abstract
A portable smart device comprising a sensor configured to sense a physiological parameter of a user, and a processor configured to perform a breath training session to determine breathing loop gain in an awake state by instructing the user to breathe in a specified manner, receiving physiological data from the sensor, and determining a value of the loop gain based on that data.
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Sleep Diagnoses and Therapies
Pendingpub. US 2025/0276142
Estimates loop gain and arousal index of the ventilatory control system by gently perturbing breathing while awake and asleep, then gives feedback.
Official abstract
A system and method for diagnosing and treating sleep disorders using a portable smart device. The device records physiological parameters during awake and sleep states; a processor determines a loop gain or arousal index of the ventilatory control system. A trigger mechanism initiates a disturbance of the ventilatory control system during awake and sleep states and monitors the response, and the system provides feedback and displays these parameters to the user.
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Personalized Breath Training System
Pendingpub. US 2024/0016411
Builds a personal baseline from breathing signals — heart rate, HRV, breathing rate, vagal tone, breath-hold capability, blood-oxygen — and tailors a training routine to it.
Official abstract
A portable smart device for determining a breathing quality during a breath training session. It includes a sensor that detects a breathing parameter — such as heart rate, heart rate variability, breathing rate, breathing rate variability, vagal tone, breath-holding capability, or blood-oxygen saturation — and a processor that analyzes the signal to determine baseline values and outputs a semi-personalized breath-training routine based on that baseline.
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Multi-Therapy Alleviation of Sleep-Disordered Breathing
Pendingpub. US 2024/0108834 · filed Feb 2022
Combines CPAP/PAP therapy with breath training — using data from the PAP device to shape training, and feeding results back to adjust the PAP therapy.
Official abstract
A portable smart device with one or more sensors and a processor. The processor receives “Mode II” physiological parameter values from a positive airway pressure (PAP) device used during PAP therapy, develops and executes a breath training session based on those values, analyzes “Mode I” values measured during the session, and transmits values back to the PAP device for adjustment of the PAP therapy.
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Detecting and Diagnosing Sleep-Disordered Breathing
Pendingpub. US 2017/0071533
Detects sleep-disordered-breathing events during sleep and flags when they indicate a sleep-disordered-breathing condition.
Official abstract
Systems and methods for diagnosing sleep disordered breathing. A sensor assembly detects physiological data while the user is asleep; an electronic computing device analyzes the data for sleep-disordered events, determines whether an event is indicative of a sleep-disordered-breathing symptom, and communicates the result to the user via an output device.
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Monitoring Hypoxic Events from Heart-Rate Signals
Pendingpub. US 2021/0000385
Infers low-oxygen (hypoxia) events from heart-rate signals — interbeat interval, amplitude, HRV — without directly computing blood-oxygen saturation.
Official abstract
A portable smart device for monitoring hypoxia over a period of time. It analyzes the heart-rate signal to determine an interbeat interval (IBI), amplitude, or heart rate variability (HRV), and — without computing blood-oxygen saturation — determines the occurrence, length, and intensity of hypoxia from changes in the IBI, amplitude, or HRV over time.
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Monitoring Hypoxia Events
Pendingpub. US 2017/0020446 · filed Oct 2015
Monitors low-oxygen (hypoxia) events over time and tracks trends in the underlying physiological signals.
Official abstract
Systems and methods for monitoring hypoxia in a user over a period of time. A sensor assembly detects data indicative of at least one physiological parameter; an electronic computing unit analyzes the data, determines the occurrence of a hypoxia event, and determines trends from changes in the characteristics associated with those events.
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Enhancement of Meditation Training and Practice
Pendingpub. US 2023/0371870
Scores meditation quality with a Session Quality Index built from heart rate, HRV, breathing rate and vagal tone.
Official abstract
A portable smart device for determining the quality of a meditation session. A heart-rate sensor outputs a signal; a processor analyzes it to determine two or more physiological parameters — such as breathing rate, breathing rate variability, heart rate, HRV and vagal tone — and combines them into a meditation Session Quality Index (SQI) that indicates the quality of the session.
Titles, numbers, and status reflect our records as of July 2026 and may change as applications proceed. This page is an informational summary, not legal advice, and does not grant any license or right. For the definitive scope of any patent, refer to the official published filing.