Invention:
The patent describes a real-time stress-management system that uses wearable devices/sensors – such as ECG and respiration monitors – to capture physiological waveforms, which are then processed (by smoothing via frequency-domain filtering, averaging, and pattern matching) on a mobile or cloud platform to detect breathing patterns (e.g., yoga-style inhale–hold–exhale rhythms) and deliver timely feedback or relaxation prompts based on the identified stress state, enabling dynamic biofeedback-guided interventions for clinical and digital wellness applications.
Background:
The invention builds on the growing use of wearable technologies and mobile platforms in clinical and wellness contexts, where integrated sensor units – capable of continuously measuring physiological signals like ECG, respiration, body motion, and temperature – have enabled non-disruptive monitoring of users over days. These systems allow transfer of sensor data via smartphones (e.g., using Bluetooth) to either local or cloud-based platforms for processing and analysis. The innovation lies in leveraging this real-time data to identify physiological states – such as stress levels inferred from heart rate variability and respiratory waveforms – and applying responsive interventions like guided relaxation or breathing exercises, ultimately enhancing health monitoring and patient feedback in near real time.
Applications:
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Stress Detection and Biofeedback for Wellness
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Determination of Optimal Breathing Exercises Based on Vagal Tones
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Respiratory Pattern Analysis and Breathing Exercise Guidance
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Wearable and Remote Health Monitoring
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Adaptive Interface for Feedback Delivery
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Automatic Control of Breathing Devices
Advantages:
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Real-time physiological monitoring with immediate feedback
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Accurate waveform smoothing and cycle detection
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Robust breathing pattern extraction via statistical averaging
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Optimal pattern matching using error-minimization approaches
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Personalized and stress-responsive biofeedback
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Visualization for intuitive stress tracking
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Wearable, lightweight, and low-power deployment
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Flexible deployment across devices and platforms
Status: issued U.S. patent #11,766,182
Related Publications:
- 2015 IOT Developers Conference (submitted conference abstract on 02/02/2015)
- 12th Body Sensor Networks Conf. 2015 (submitted 6-page conference proceeding by 03/14/2015)
