Neurostimulation systems with event pattern detection and classification
Systems, devices, and methods for electrically stimulating peripheral nerve(s) to treat various disorders are disclosed, as well as signal processing systems and methods for enhancing device monitoring protocols and detecting abnormal patient usage of the device.
1. A wearable neurostimulation device for transcutaneously stimulating one or more peripheral nerves of a user, the device comprising:
one or more electrodes configured to generate electric stimulation signals;
one or more sensors configured to detect motion signals, wherein the one or more sensors are operably connected to the wearable neurostimulation device; and
one or more hardware processors configured to:
receive raw signals relating to device interaction events;
store the device interaction events into a data log;
perform an anomalous sequence detection analysis on entries of the data log;
perform an event sequence classification on entries of the data log;
determine at least one of an anomaly type and/or an anomaly score;
determine anomalous device function patterns or device usage patterns, wherein the anomalous device function patterns relate to determining or predicting a malfunction of the wearable neurostimulation device, and wherein the device usage patterns relate to abnormal usage of the wearable neurostimulation device by the user;
communicate information related to the anomalous device function patterns or the device usage patterns to the user or a third party;
wherein the device is non implantable, and
wherein the anomalous sequence detection analysis comprises utilizing Markov chains.
2. The wearable neurostimulation device of claim 1 , wherein the one or more sensors are operably attached to the wearable neurostimulation device.
3. The wearable neurostimulation device of claim 1 , wherein the Markov chains comprise continuous time Markov chains.
4. The wearable neurostimulation device of claim 1 , wherein the anomalous sequence detection analysis comprises converting a time interval into a time bin on a logarithmic scale.
5. The wearable neurostimulation device of claim 1 , wherein the anomalous sequence detection analysis comprises estimating the influence of null count events on probability calculations.
6. The wearable neurostimulation device of claim 1 , further comprising one or more end effectors configured to generate stimulation signals other than electric stimulation signals.
7. The wearable neurostimulation device of claim 6 , wherein the stimulation signals other than electric stimulation signals are vibrational stimulation signals.
8. The wearable neurostimulation device of claim 1 , wherein the sensors comprise one or more of a gyroscope, accelerometer, and magnetometer.
9. The wearable neurostimulation device of claim 1 , wherein the anomalous sequence detection analysis comprises identifying a sequence of button presses.
10. The wearable neurostimulation device of claim 1 , wherein the anomalous sequence detection analysis comprises identifying patient early termination of therapy.
11. The wearable neurostimulation device of claim 1 , wherein the determining or predicting a malfunction of the wearable neurostimulation device relates to at least one of poor connection quality, sensor failure, or stimulation failure.
12. The wearable neurostimulation device of claim 1 , wherein the abnormal usage of the wearable neurostimulation device by the user relates to at least one of repetitive or excessive button or other control presses, user-initiated termination of one or more therapy sessions, or anomalous adjustment of stimulation amplitude.