Abstract: A rabbit vibrator comprising two arms connected to an ergonomic handle. The rabbit vibrator consists of an internal arm that stimulates the vagina and external arm that stimulates the clitoris, both integrated into a triangular handle. The body of the product is super flexible, made of compliant silicone for the user's comfort and conformation to their anatomy.

Abstract: A system and method for identifying ictal states in a patient, the system including a plurality of sensors for sensing different non-electroencephalographic signals from the patient, and a processing unit. The processing unit has a processor and memory with instructions for classifying data from the plurality of sensors to determine probability of the patient being ictal, when the probability is high asking the patient if the patient is in an ictal state, reporting to a caregivers if the patient is ictal, and updating the classifier based upon sensor data, probability, and the response. The method includes sensing, using a plurality of non-electroencephalographic sensors, determining, using a classifier trained using a training dataset, probability of the patient being in an ictal state, and if probability is high, asking the patient if the patient is in ictal state, logging the occurrence of an ictal state, and updating the classifier.

Abstract: A system and method for identifying ictal states in a patient, the system including a plurality of sensors for sensing different non-electroencephalographic signals from the patient, and a processing unit. The processing unit has a processor and memory with instructions for classifying data from the plurality of sensors to determine probability of the patient being ictal, when the probability is high asking the patient if the patient is in an ictal state, reporting to a caregivers if the patient is ictal, and updating the classifier based upon sensor data, probability, and the response. The method includes sensing, using a plurality of non-electroencephalographic sensors, determining, using a classifier trained using a training dataset, probability of the patient being in an ictal state, and if probability is high, asking the patient if the patient is in ictal state, logging the occurrence of an ictal state, and updating the classifier.