Respiration Feedback Interface for Real-Time Stress Training
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Solution Overview
Problem
Conventional trainers, coaches, and training devices fail to effectively process raw physiological data from users in real time, particularly in high-pressure conditions, leading to ineffective training for managing autonomic responses such as increased heart rate and fast breathing, which impairs performance.
Innovation Solution
A computer-implemented system processes input signals from sensors to generate real-time visualizations of breathing and heart rate variability metrics, allowing users to modulate their breathing by overlaying actual and desired respiration metrics, and provides performance metrics and scores to enhance training efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional trainers and coaches are used for training, then training can be provided, but real-time processing of raw physiological data is not achieved, leading to ineffective training for managing autonomic responses
Solution Approach 1:
The patent replaces conventional mechanical training devices with a computer-implemented system that uses sensors to capture physiological data and software to process and visualize the data in real-time. This substitution enables precise real-time monitoring of breathing patterns and heart rate variability without the limitations of conventional devices.
Solution Approach 2:
The patent introduces an intermediary processing layer between the physiological sensors and the user feedback. This layer includes software that captures raw physiological data, processes it to extract meaningful metrics, and presents it through visualizations. This intermediary enables real-time analysis while maintaining system manageability.
2Adaptability or versatility
If conventional training devices are used, then training can be provided, but the ability to overlay or map current breathing metrics to desired respiration metric is lacking, preventing effective training of breathing patterns
Solution Approach 1:
The patent adds a visual dimension to breathing training by overlaying actual breathing metrics on top of desired respiration patterns. This dimensional addition allows users to see the difference between their current breathing and target breathing patterns, enabling effective feedback without requiring complex physical modifications to the training device.
Solution Approach 2:
The patent creates a visual copy or representation of the desired breathing pattern and overlays it with the actual breathing pattern. This copying approach allows users to compare their performance against the target pattern directly, providing intuitive feedback while keeping the device itself relatively simple.
3Reliability
If real-time processing of physiological data is implemented, then effective training for managing autonomic responses can be achieved, but system complexity increases
Solution Approach 1:
The patent implements a system where the software automatically captures, processes, and visualizes physiological data in real-time without requiring external intervention. The system serves itself by handling data processing internally, which improves reliability for stress management training while keeping the user interface simple and intuitive.
Solution Approach 2:
The patent incorporates real-time feedback loops where physiological data is continuously monitored, processed, and presented to the user through visualizations. This feedback mechanism enables effective training for managing autonomic responses by providing immediate information about breathing patterns and heart rate variability, while the automated processing keeps system complexity manageable.
Data Source
AI summary
Methods and systems for generating physiological metrics for display on a computing device are disclosed herein. In some implementations, an exemplary system comprises a torso wearable device including a wireless transmitter and a sensor, and non-transitory computer-readable media (CRM). The CRM, when executed by a computing device in communication with the wireless transmitter, can perform operations comprising: receiving the input signals representing respiration of the user; displaying a graphical user interface to the user; receiving one or more user inputs associated with a desired metric; displaying on the graphical user interface a first visualization corresponding to the desired metric; and displaying on the graphical user interface a second visualization corresponding to a physiological metric based on the input signals generated from the sensor. The second visualization can change in real time based on real time angular displacement of the sensor in response to the respiration of the user.