20-03-2014 дата публикации
Номер: US20140081090A1
Computer-implemented techniques are disclosed for analyzing physiology data captured by biosensors and for providing alerts based on the biosensor data. The biosensor data is captured non-invasively and is analyzed to identify atypical brain activity that can result from illness, injury, disease, and seizures. The biosensor data can include electrodermal activity, skin temperature, and accelerometer data. The data is sent to a web service for analysis, and to determine whether an alert should be generated. The alerts, based on the biosensor data captured from the individual, are received from the web service. An output related to physiology is rendered based on an alert being received from the web service. 1. A computer-implemented method for physiology analysis comprising:capturing biosensor data from a person;sending the biosensor data to a mobile device;providing the biosensor data to a cloud-computing environment;processing the biosensor data to identify atypical brain activity; andproviding an alert based on the atypical brain activity that was detected.2. The method of wherein the biosensor data includes one or more of electrodermal activity claim 1 , accelerometer data claim 1 , and skin temperature.3. The method of wherein the processing is performed in the cloud-computing environment.4. The method of wherein the mobile device is incorporated as part of a biosensor.5. The method of wherein the atypical brain activity comprises a SUDEP risk claim 1 , an epileptiform seizure claim 1 , a drug reaction claim 1 , stress claim 1 , depression claim 1 , compulsive behavior claim 1 , ictal brain activity claim 1 , inter-ictal brain activity claim 1 , a tonic-clonic seizure claim 1 , a partial complex seizure claim 1 , pain claim 1 , anxiety claim 1 , a panic attack claim 1 , an epileptic seizure claim 1 , a sleep disorder claim 1 , a respiratory sleep problem claim 1 , an heart attack claim 1 , a reaction to medication claim 1 , a bipolar attack claim 1 , distracted ...
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