1. A method comprising: receiving, at a computing device, body parameter data of a patient; determining that the patient is in a lighter sleep cycle stage based on the body parameter data; detecting, while the patient is in the lighter sleep cycle stage, a presence of an epileptic event by analyzing the body parameter data using a first set of seizure detection parameters based on the lighter sleep cycle stage; initiating application of a first cranial nerve stimulation to the patient based on a first value of a cranial nerve stimulation parameter to drive the patient from the lighter sleep cycle stage to a deeper sleep cycle stage in response to detecting the presence of the epileptic event; after initiating application of the first cranial nerve stimulation to the patient, determining whether the patient has progressed to the deeper sleep cycle stage or remains in the lighter sleep cycle stage; in response to determining the patient remains in the lighter sleep cycle stage, initiating application of a second cranial nerve stimulation to the patient based on a second value of the cranial nerve stimulation parameter to drive the patient from the lighter sleep cycle stage to the deeper sleep cycle stage; in response to detecting the patient is in the deeper sleep cycle stage, modifying the first set of seizure detection parameters to a second set of seizure detection parameters based on the deeper sleep cycle stage and detecting whether the epileptic event is present using the second set of seizure detection parameters.