Breathing Biofeedback Device Using Envelope Detection
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Solution Overview
Problem
Existing breathing biofeedback devices either fail to provide effective feedback on breathing sound levels and patterns, are limited in their sensing capabilities, or use unpleasant tones that do not effectively aid in modifying breathing patterns.
Innovation Solution
A self-contained, wearable biofeedback device with a microphone, controller, and headphones that processes breathing sounds in real-time, providing volume-adjusted audio feedback to help users modify and control their breathing patterns while awake or asleep, using a digitally controlled variable-gain amplifier and a Breath State Machine for accurate detection and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to analyze breath sounds for initial screening and detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts and focuses on a single critical measurement parameter (breath sound intensity) rather than attempting to measure multiple breath characteristics simultaneously. This simplification allows the device to achieve sufficient measurement precision for its intended purpose while avoiding the complexity of multiple sensors and processing channels.
Solution Approach 2:
The patent replaces complex mechanical sensor arrays with an electronic signal processing approach. By using a single microphone combined with digital signal processing techniques (envelope detection, RMS calculation), the system achieves breath sound analysis capability without requiring multiple physical sensors.
2Ease of operation
If breathing sounds are fed back to the patient for education and training, then ease of operation is improved, but sound leakage causing acoustic feedback occurs
Solution Approach 1:
The patent introduces an intermediary signal processing stage that processes the breath sound signal before playback. By analyzing the envelope and RMS values of the input signal and using this information to control the output signal, the system creates an indirect feedback path that provides training value while breaking the direct acoustic feedback loop that causes harmful sound leakage.
Solution Approach 2:
The patent replaces direct acoustic feedback with an electronic signal processing feedback mechanism. Instead of simply replaying the captured breath sound, the system processes the signal through envelope detection and RMS calculation, then uses this processed information to generate a controlled output signal, eliminating the acoustic feedback problem while maintaining the training function.
3Measurement precision
If signal volume is analyzed and feedback is provided in real-time, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex hardware-based signal analysis with software-based digital signal processing. By implementing envelope detection and RMS calculation algorithms in the microcontroller, the system achieves precise signal volume measurement without requiring complex analog circuitry or additional hardware components.
Solution Approach 2:
The patent makes the microcontroller serve multiple functions: it acts as both the signal processing unit for envelope detection and RMS calculation, and as the control unit for managing the LCD display and overall device operation. This multi-functionality reduces device complexity by consolidating processing tasks into a single component.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables users to learn and execute breathing exercises more effectively by providing real-time, interactive audio feedback, improving breath regulation and awareness, and offering customizable modes for different applications such as stress reduction, anti-snoring, and fitness training.
Implementation Method 1
a microphone configured to acquire sounds of a user's breathing
Implementation Method 2
the microphone signal is first pre-amplified to a voltage level that can be processed by an audio envelope detector circuit
Implementation Method 3
an audio envelope detector circuit
Implementation Method 4
the envelope detector signal is then fed into the analog-to-digital converter input of the controller
Implementation Method 5
the controller then controlling the output volume level fed to the headphones utilizing a digitally controlled variable-gain amplifier
Implementation Method 6
a pair of earphones connected with the controller and configured to convey the output signal to the user
Data Source
AI summary
A breathing biofeedback device, having a microphone configured to acquire sounds of a user's breathing; a controller communicatively connected with the microphone, the controller processing the signals acquired by the microphone to produce an output signal, the controller processing the signal whereby the microphone signal is first pre-amplified to a voltage level that can be processed by an audio envelope detector circuit, the envelope detector signal is then fed into the analog-to-digital converter input of the controller allowing it to constantly sample the input volume level, the controller then controlling the output volume level fed to the headphones utilizing a digitally controlled variable-gain amplifier, wherein the output signal is not modified in any manner from the original input, except in volume; and a pair of earphones connected with the controller and configured to convey the output signal to the user.