The present specification describes a system for diagnosing or screening one or more pathologies in a patient. The system includes a headset with at least one microphone or accelerometer to passively receive vibrations generated by the cerebral vasculature of the patient's brain, computing devices coupled with the headset for processing the received vibrations to obtain a unique signal, and a signal analyzer to analyze the signal in order to determine if the data includes patterns uniquely indicative of at least one of tension headaches, migraines, depression, dementia, Alzheimer's disease, epilepsy, Parkinson's disease, autism, cerebral vasospasm and meningitis.

A system and method for detecting seizures in a patient are disclosed. The method includes measuring at least one signal associated with the patient over a first time period, and calculating a first slope having a rate of change in a first signal of the at least one signal over the first time period. The first signal is a heart rate. The method also includes determining a difference between the first slope and a reference slope, as well as detecting an epileptic seizure based at least upon the difference between the first slope and the reference slope. Furthermore, the method includes quantifying the epileptic seizure by calculating a severity of the seizure. The severity is the product of a seizure duration and a seizure intensity.

A set of one or more processing circuits obtains eye movement-related eardrum oscillation (EMREO)-related measurements from one or more EMREO sensors of a hearing instrument. The EMREO sensors are located in an ear canal of a user of the hearing instrument and are configured to detect environmental signals of EMREOs of an eardrum of the user of the hearing instrument. The one or more processing circuits may perform an action based on the EMREO-related measurements.

A system and method for generating an otolaryngological functional program, the system including a computing device configured to receive a nourishment program relating to a user; determine an otolaryngological functional program wherein determining includes retrieving a user lifestyle factor; and determining the otolaryngological functional program as a function of the nourishment program and the user lifestyle factor using a functional machine-learning model, wherein the functional machine-learning model is trained as a function of a functional training set that correlates the nourishment program and the user lifestyle factor to the otolaryngological functional program; and modify the nourishment program as a function of the otolaryngological functional program.

Systems, methods and computer-readable media are provided for identifying persons who are likely to benefit from a neurosurgical procedure, such as lobectomy, hemispherectomy, lesionectomy, callosotomy, and the like. Measured values of physiological variables may be combined via a multi-variable predictive model. In some embodiments, this may take the form of a multinomial logistic regression classifier. In other embodiments, the evidence-combining may be implemented via a neural network or support vector machine or similar machine learning or classification methods. In an embodiment, a leading indicator of near-term responsiveness to the regimen may be provided to a caregiver, such as a neurologist, and further may be integrated with case-management software and an electronic health record decision-support system.

Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

This disclosure provides methods, reagents, and diagnostic and prognostic markers useful for non-invasive identification, diagnosis, and therapeutic intervention in individuals with epilepsy. More particularly, the disclosure uses specific metabolites measured by magnetic resonance spectroscopy in brain tissue to detect epileptic brain regions.

Disclosed are methods and systems for treating epilepsy by stimulating a main trunk of a vagus nerve, or a left vagus nerve, when the patient has had no seizure or a seizure that is not characterized by cardiac changes such as an increase in heart rate, and stimulating a cardiac branch of a vagus nerve, or a right vagus nerve, when the patient has had a seizure characterized by cardiac changes such as a heart rate increase.

An intelligent baby caring method and arrangement helps to recognize and maintain emotional interaction between mother and her baby and to improve the baby's life rhythm and calm and soothe him/her automatically when needed and help him/her to fall asleep and to wake up at the most convenient time and way. The aim is to help the mother with her baby to find optimal life and care rhythm. The invention is focused on a platform (101) with many sensors, sensor sheet (120), a transducer to produce acoustic and mechanical vibrations (14) and an airflow blower (132). Sensors are also fixed to the mother (10) and in the care room (198). A sleep/activity graph of the baby and sleep/emotion graph of the mother are measured and tracked with multimodal sensors and an artificial intelligence unit (200) processes audio, motion and airflow actions given to the baby from the platform to help the baby to move from an improper to optimal sleep/activity level.

A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.