Neurostimulation systems with event pattern detection and classification

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.