Abstract: The present application relates to a service decision method and a service decision device. The method includes: receiving a task request sent by a terminal, the task request including a terminal identifier, terminal location information and task information of the terminal; determining that the terminal is currently in an overlapping coverage area, generating a decision-making instruction according to the task request and a target decision network, and sending the decision-making instruction to the terminal according to the terminal identifier, the decision-making instruction being used to indicate whether a target unmanned aerial vehicle server provides to the terminal a service corresponding to the task request, and the target decision-making instruction being used by the terminal to select one server from among the target unmanned aerial vehicle server and the other unmanned aerial vehicle servers to provide the service. Using the present method can improve resource utilization.

Abstract: Systems and methods for estimating time-dependent voltages that are induced in electrophysiological monitoring systems by magnetic field gradients generated during a magnetic resonance imaging (“MRI”) scan are provided. The gradient-induced voltages are subsequently removed from signals acquired with the electrophysiological monitoring system during an MRI scan. As an example, the electrophysiological monitoring system can include an electrocardiography (“ECG”) system, an electroencephalography (“EEG”) system, an electromyography (“EMG”) system, a voltage device tracking (“VDT”) system, and so on. The gradient-induced voltages are estimated using a two-step procedure in which a learning algorithm is used to determine fitting parameters to be used in a model of the gradient-induced voltages. The fitting parameters are then used together with the model to extract the gradient-induced voltages from signals acquired during an MRI scan. The gradient-induced voltages can then be removed from the acquired signals.

Abstract: Systems and methods for estimating time-dependent voltages that are induced in electrophysiological monitoring systems by magnetic field gradients generated during a magnetic resonance imaging (“MRI”) scan are provided. The gradient-induced voltages are subsequently removed from signals acquired with the electrophysiological monitoring system during an MRI scan. As an example, the electrophysiological monitoring system can include an electrocardiography (“ECG”) system, an electroencephalography (“EEG”) system, an electromyography (“EMG”) system, a voltage device tracking (“VDT”) system, and so on. The gradient-induced voltages are estimated using a two-step procedure in which a learning algorithm is used to determine fitting parameters to be used in a model of the gradient-induced voltages. The fitting parameters are then used together with the model to extract the gradient- induced voltages from signals acquired during an MRI scan. The gradient-induced voltages can then be removed from the acquired signals.