Abstract: A device for predicting and monitoring epileptic seizures includes a wearable electrodermal activity (EDA) sensor that measures skin conductance, a wearable respiration rate (RR) sensor and a microcontroller. The microcontroller receives high-frequency phasic signals from the EDA sensor and compares the phasic signals to a first skin conductance threshold value and a second skin conductance threshold value to determine when to actuate a warning of an epi-seizure condition of a patient. When a warning alarm is generated, the microcontroller compares a number of breaths per minute to respiration rate thresholds to determine when a patient is in a seizure state. The microcontroller transmits warning and seizure mode alerts to a epi-seizure telemedicine application stored on a smart device to alert a caregiver of an incipient or on-going epileptic seizure.