Biofeedback system
Inventors
ENGEBRETSEN, Marcus Aleksander • STUBBERUD, Anker • LINDE, Mattias • OLSEN, Alexander • TRONVIK, Erling • RAMAMPIARO, Herindrasana • Borg, Stefan Artur Sobczyszyn
Assignees
Nordic Brain Tech AS • St Olavs Hospital Hf • Norwegian University of Science and Technology NTNU
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Publication Number
US-12539080-B2
Publication Date
2026-02-03
Expiration Date
Abstract
A biofeedback system for headache patients includes a sensor system for obtaining and transmitting data indicative of a number of physiological parameters of the patient, a personal computing device arranged to receive data from the sensor system and to interact with the patient via a user interface of the personal computing device, and a computer-implemented biofeedback agent. The sensor system is configured for measurement of the physiological parameters of the patient, wherein the physiological parameters include at least two of muscle tension, body temperature, heart rate, and heart rate variability.
Core Innovation
The invention provides a biofeedback training system for headache patients that includes a sensor system for obtaining and transmitting data indicative of a plurality of physiological parameters, at least two of which are muscle tension, body temperature, heart rate, and heart rate variability. A personal computing device receives the sensor data and interacts with the patient via a user interface. A computer-implemented biofeedback training agent provides real-time feedback while the patient attempts to control their physiological state during a biofeedback training session.
For each physiological parameter, the system determines baseline levels and derives a continually-updating score relative to the baseline levels, where the score increases in reaction to control toward a respective target one of the baseline levels. The system assesses a respective degree of success for each physiological parameter by ranking success from a highest success to a lowest success based on a ranking of scores from a highest score to a lowest score.
A weighting system determines a weighting for the score associated with each physiological parameter, giving a higher weighting to the parameter that the patient most successfully controls and a lower weighting to the parameter that the patient least successfully controls. The system determines a continually-updating total score consisting of a combination of the weighted scores and presents the continually-updating total score to the patient via the user interface as a personalized total score.
Claims Coverage
The provided independent claims cover a biofeedback training system, a method of operating the system, and a non-transitory computer-readable medium implementing the system. Across the independent claims, there are six main inventive features: sensor-based multi-parameter physiological measurement, patient instruction and real-time feedback, baseline determination, continually-updating per-parameter scoring relative to baseline/target, success ranking with success-dependent weighting, and presentation of a continually-updating personalized total score.
Headache-focused real-time biofeedback training system
A biofeedback training system for headache patients with a sensor system obtaining and transmitting data indicative of at least two physiological parameters, a personal computing device receiving the data and interacting via a user interface, and a computer-implemented biofeedback training agent configured to provide real-time feedback during a biofeedback training session.
Baseline levels for physiological parameters
Determine baseline levels for each of the physiological parameters during a biofeedback training session.
Continually-updating per-parameter score toward a target
Derive a continually-updating score for each physiological parameter relative to the baseline levels, wherein the continually-updating score increases in reaction to control of the respective physiological parameter toward a respective target one of the baseline levels.
Success ranking across parameters
Assess a respective degree of success of the patient in controlling each physiological parameter based on the scores, wherein the degree of success is ranked from a highest success to a lowest success based on a ranking of scores from a highest score to a lowest score.
Success-dependent weighting system
Use a weighting system to determine a weighting for the score associated with each physiological parameter, wherein the weighting system gives a higher weighting to the score for the physiological parameter that the patient most successfully controls and a lower weighting to the score for the physiological parameter that the patient least successfully controls.
Continually-updating personalized total score presented to the patient
Determine a continually-updating total score consisting of a combination of the weighted scores and present the continually-updating total score to the patient via the user interface as a personalized total score for the patient to use to control their physiological state by trying to increase the personalized total score during the biofeedback training session.
The independent claims consistently require multi-parameter physiological sensing, baseline determination, continuously updating per-parameter scoring that increases with control toward a target/baseline relationship, success ranking from highest to lowest based on scores, and a weighting system that emphasizes the best-controlled parameter and de-emphasizes the least-controlled parameter to compute a continuously updating personalized total score for real-time presentation.
Stated Advantages
Provides real-time feedback to the patient during a biofeedback training session.
Produces a personalized total score for the patient to use to control their physiological state.
Increases the personalized total score by weighting parameter scores according to the patient’s success in controlling each physiological parameter.
Documented Applications
Biofeedback training for headache patients, including migraine/headache patients, by providing real-time feedback based on physiological parameter control.
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