Seizure detection methods, apparatus, and systems using an autoregression algorithm

A system, comprising:

• a body data collection module configured to collect body data via one or more processors comprising a time series of a first body signal of a patient, wherein the first body signal is a cardiac signal, and
• a non-transitory computer readable program storage unit encoded with instructions that, when executed by a processor, performs a method, comprising:
• receiving the time series of the first body signal of the patient from the body data collection module,
• determining a first sliding time window and a second sliding time window for the time series of the first body signal;
• applying an autoregression algorithm to the first sliding window and the second sliding window;
• determining an indication of a current onset of a seizure based on the application of the autoregression algorithm to the first sliding window and the second sliding window;
• delivering a therapy via a therapy unit for the seizure at a particular time, wherein the therapy and the particular time are based upon the determination of the current onset of the seizure;
• and
• determining a termination of the seizure based on the application of the autoregression algorithm to the first sliding window and the second sliding window.