Abstract: A mobile electronic device is operable to be used in a vehicle and determine a mental state of a user such as drowsiness. The mobile electronic device includes a display, a speaker, a memory element, a location determining component, a heartrate sensor, and a processor. The heartrate sensor is configured to provide a heartbeat signal indicative of a heartbeat of the user. The processor is configured to: acquire a beat-to-beat interval based upon the heartbeat signal, determine a current speed of the vehicle, and determine a drowsiness level of the user based at least in part upon the beat-to-beat interval, the current speed over the vehicle. The processor is configured to control the display and the speaker to alert the user of the determined drowsiness level while the determined drowsiness level exceeds a stored threshold determined drowsiness level.

Abstract: A mobile electronic device is operable to detect and display a mental state of a user such as drowsiness. The mobile electronic device includes a heartrate sensor, a processor, and a display. The heartrate sensor is operable to provide a heartbeat signal indicative of a heartbeat of the user. The processor is operable to: acquire a beat-to-beat interval based upon the heartbeat signal and determine a drowsiness level of the user based at least in part upon the beat-to-beat interval. The display is operable to display an indication of the drowsiness level.

Abstract: A mobile electronic device is operable to detect and display a mental state of a user such as drowsiness. The mobile electronic device includes a heartrate sensor, a processor, and a display. The heartrate sensor is operable to provide a heartbeat signal indicative of a heartbeat of the user. The processor is operable to: acquire a beat-to-beat interval based upon the heartbeat signal and determine a drowsiness level of the user based at least in part upon the beat-to-beat interval. The display is operable to display an indication of the drowsiness level.

Abstract: In a method, arrangement and computer program for analysis of neuronal activities in neuronal areas, signals are recorded, with each signal describing the neuronal activity in one of the neuronal areas. A matchable coupling forms the basis of all signals, described by the use of matchable coupling parameters that describe the statistical relationship between the signals. Probabilities for an occurrence of the signals are determined, whereby a statistical distribution is the basis of the signals. The matchable coupling parameters are determined by optimization of the probabilities, hence matched and analyzed.

Abstract: The activity of a pharmaceutical preparation or medicament on a neuronal structure is analyzed by subjecting a neuronal structure to the influence of a pharmaceutical preparation. Signals describing neuronal activities in the neuronal structure under the influence of the pharmaceutical preparation are detected and statistically evaluated to determine indicators for the neuronal structure under the influence of the pharmaceutical preparation. The indicators describe the activity of the pharmaceutical preparation.

Abstract: In a method, arrangement and computer program for analysis of neuronal activities in neuronal areas, signals are recorded, with each signal describing the neuronal activity in one of the neuronal areas. A matchable coupling forms the basis of all signals, described by the use of matchable coupling parameters that describe the statistical relationship between the signals. Probabilities for an occurrence of the signals are determined, whereby a statistical distribution is the basis of the signals. The matchable coupling parameters are determined by optimization of the probabilities, hence matched and analyzed.

Abstract: Neuronal activities in neuronal areas are analyzed using a coupling model in which coupling model a) the neuronal activities and signals are interconnected by using cross-coupling variables, b) the signals are connected by using signal coupling variables that in each case interconnect two of the signals, c)the neuronal activities are connected by using activity coupling variables that in each case interconnect two of the neuronal activities, in which case at least the signal coupling variables are determined for the analysis when optimizing.