Real-Time Signal Processing and Fitting Method

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:

  • Stress Detection and Biofeedback for Wellness

  • Determination of Optimal Breathing Exercises Based on Vagal Tones

  • Respiratory Pattern Analysis and Breathing Exercise Guidance

  • Wearable and Remote Health Monitoring

  • Adaptive Interface for Feedback Delivery

  • Automatic Control of Breathing Devices

Advantages:

  • Real-time physiological monitoring with immediate feedback

  • Accurate waveform smoothing and cycle detection

  • Robust breathing pattern extraction via statistical averaging

  • Optimal pattern matching using error-minimization approaches

  • Personalized and stress-responsive biofeedback

  • Visualization for intuitive stress tracking

  • Wearable, lightweight, and low-power deployment

  • 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)
Patent Information: