Abstract: A method and system for monitoring neuromuscular blockade in patients during surgical procedures. A stimulator provides stimulation to a nerve of the patient, such as train-of-four (TOF). Following such stimulation, the system and method creates a predicted recovery trend for the patient that is based upon measured recovery trend and a recovery model. The recovery model estimates a recovery trend for the patient based on initial model parameter values. The recovery model creates a predicted recovery trend that is used to estimate a recovery time for the patient. The trend values from the patient are monitored and compared to the predicted trend values throughout the operation as long as the NMT measurement is on. During recovery, the recovery model and recovery time estimates are updated based on the recovery trend being formed from measurements of the patient.

Abstract: A method of predicting physiological alarm frequency by patient monitors includes collecting patient monitoring data of multiple patients in at least a first healthcare environment, and then determining an alarm rate model based on the patient monitoring data, wherein the alarm rate model describes alarm rates at a range of alarm configurations in the first healthcare environment. Initial alarm rate data is collected for a second healthcare environment, wherein the initial alarm rate data includes at least one alarm rate at at least one known alarm configuration within the range of alarm configurations. An alarm rate transform is then calculated for the second healthcare environment comparing the initial alarm rate data for the second healthcare environment to the alarm rate model.

Abstract: A method for detection of interference in impedance based monitoring of a subject by using a monitor is disclosed. The method comprising, connecting the subject to the monitor using one or more leads; and before current is applied to the subject, measuring voltage on the subject via at least one of the one or more leads and if any voltage is detected then the monitor indicates a warning. An impedance based monitor is disclosed, the monitor being connectable to a subject. The monitor is configured to measure voltage on the subject, before any current is applied to the subject, and if any voltage is detected then the monitor is configured to indicate a warning.

Abstract: A method of predicting physiological alarm frequency by patient monitors includes collecting patient monitoring data of multiple patients in at least a first healthcare environment, and then determining an alarm rate model based on the patient monitoring data, wherein the alarm rate model describes alarm rates at a range of alarm configurations in the first healthcare environment. Initial alarm rate data is collected for a second healthcare environment, wherein the initial alarm rate data includes at least one alarm rate at at least one known alarm configuration within the range of alarm configurations. An alarm rate transform is then calculated for the second healthcare environment comparing the initial alarm rate data for the second healthcare environment to the alarm rate model.

Abstract: A method and system for monitoring neuromuscular blockade in patients during surgical procedures. A stimulator provides stimulation to a nerve of the patient, such as train-of-four (TOF). Following such stimulation, the system and method creates a predicted recovery trend for the patient that is based upon measured recovery trend and a recovery model. The recovery model estimates a recovery trend for the patient based on initial model parameter values. The recovery model creates a predicted recovery trend that is used to estimate a recovery time for the patient. The trend values from the patient are monitored and compared to the predicted trend values throughout the operation as long as the NMT measurement is on. During recovery, the recovery model and recovery time estimates are updated based on the recovery trend being formed from measurements of the patient.

Abstract: A method and device for calculating at least a first type and a second type of physiological parameter with a wireless measuring device adapted to acquire patient physiological data, the wireless measuring device is configured to operate in at least a first and a second operating mode for processing the physiological data. The method comprises acquiring with the wireless measuring device patient physiological data, and identifying a first identity for the wireless measuring device, the first identity being linked to a first context for operating the wireless measuring device. The method further comprises using the first identity to allow the wireless measuring device to operate in a first operating mode linked to the first identity, and processing the patient physiological data to calculate a first type of physiological parameter, linked to the first operating mode of the wireless measuring device.

Abstract: A method for detection of interference in impedance based monitoring of a subject by using a monitor is disclosed. The method comprising, connecting the subject to the monitor using one or more leads; and before current is applied to the subject, measuring voltage on the subject via at least one of the one or more leads and if any voltage is detected then the monitor indicates a warning. An impedance based monitor is disclosed, the monitor being connectable to a subject. The monitor is configured to measure voltage on the subject, before any current is applied to the subject, and if any voltage is detected then the monitor is configured to indicate a warning.

Abstract: The system and method of the present application includes a physiological sensor and a motion sensor connected to a patient. The physiological sensor detects patient connection to the sensor and collects a physiological signal while connected. When the physiological sensor is disconnected, the motion sensor data is analyzed. Patterns of sensor connection and patient movement typical for nurse initiated removal compared to accidental or patient initiated removals are created. The alarm protocol may be modified if the disconnection is due to patient movement. The detected movement patterns may include movement measurements that are close to the sensor that detects how the actual disconnection happens, or general movement information for the patient such as whether the patient has been still or has moved before the sensor gets disconnected. By using this information to classify the reason of the sensor removal, a more relevant alarm may be generated.

Abstract: The system and method of the present application includes a physiological sensor and a motion sensor connected to a patient. The physiological sensor detects patient connection to the sensor and collects a physiological signal while connected. When the physiological sensor is disconnected, the motion sensor data is analyzed. Patterns of sensor connection and patient movement typical for nurse initiated removal compared to accidental or patient initiated removals are created. The alarm protocol may be modified if the disconnection is due to patient movement. The detected movement patterns may include movement measurements that are close to the sensor that detects how the actual disconnection happens, or general movement information for the patient such as whether the patient has been still or has moved before the sensor gets disconnected. By using this information to classify the reason of the sensor removal, a more relevant alarm may be generated.

Abstract: A soft-field tomography system includes a plurality of transducers, one or more excitation drivers, one or more response detectors, and a soft-field reconstruction module. The transducers are configured for positioning proximate a surface of an object to be imaged, and are configured to apply excitations to the surface of the object. The excitation drivers are coupled to the transducers and configured to generate excitation signals to be applied by the transducers. The response detectors are coupled to the transducers and configured to measure a response of the object at the transducers to acquire an Electrical Impedance Tomography (EIT) data set. The soft-field reconstruction module is configured to select a model domain for the EIT data set that represents a predetermined shape, determine a minimally anisotropic error in the model domain, and perform isotropization using the determined minimally anisotropic error to recover a boundary shape and isotropic conductivity.

Abstract: A system and method for beamforming in soft-field tomography are provided. One soft-field tomography system includes a plurality of transducers configured for positioning proximate a surface of an object and one or more excitation drivers coupled to the plurality of transducers and configured to generate excitation signals for the plurality of transducers. The excitation signals include at least one frequency component. The soft-field tomography system further includes one or more response detectors coupled to the plurality of transducers and configured to measure a response of the object at the plurality of transducers to the excitation applied by the plurality of transducers based on the excitation signals. The soft-field tomography system also includes a soft-field reconstruction module configured to reconstruct a property distribution based on the excitation signals and the measured response using an Electrical Impedance Spectroscopy (EIS) beamformer.

Abstract: A method and device for calculating at least a first type and a second type of physiological parameter with a wireless measuring device adapted to acquire patient physiological data, the wireless measuring device is configured to operate in at least a first and a second operating mode for processing the physiological data. The method comprises acquiring with the wireless measuring device patient physiological data, and identifying a first identity for the wireless measuring device, the first identity being linked to a first context for operating the wireless measuring device. The method further comprises using the first identity to allow the wireless measuring device to operate in a first operating mode linked to the first identity, and processing the patient physiological data to calculate a first type of physiological parameter, linked to the first operating mode of the wireless measuring device.

Abstract: A system and method for beamforming in soft-field tomography are provided. One soft-field tomography system includes a plurality of transducers configured for positioning proximate a surface of an object and one or more excitation drivers coupled to the plurality of transducers and configured to generate excitation signals for the plurality of transducers. The excitation signals include at least one frequency component. The soft-field tomography system further includes one or more response detectors coupled to the plurality of transducers and configured to measure a response of the object at the plurality of transducers to the excitation applied by the plurality of transducers based on the excitation signals. The soft-field tomography system also includes a soft-field reconstruction module configured to reconstruct a property distribution based on the excitation signals and the measured response using an Electrical Impedance Spectroscopy (EIS) beamformer.

Abstract: A system and method for data reconstruction in soft-field tomography are provided. One method includes selecting a model domain for an EIT data set, determining a minimally anisotropic error in the model domain and correcting the model domain. The method also performing isotropization using the determined minimally anisotropic error to recover a boundary shape and isotropic conductivity for the EIT data set.

Abstract: The invention relates to a method and apparatus for suppressing interference in an electric signal, particularly for suppressing interference in an electrocardiogram (ECG) signal in connection with magnetic resonance imaging (MRI). In order to improve the accuracy of the suppression, the electric signal is first sampled at a high sampling frequency, whereby a first sequence of samples is obtained. Some of the samples in the first sequence of samples are then selected on the basis of predetermined criteria. The first sequence is then downsampled using the selected samples, whereby a second sequence of samples is obtained. The second sequence forms a digital presentation of the electric signal in which the interference is suppressed.

Abstract: The invention relates to a method and apparatus for suppressing interference in an electric signal, particularly for suppressing interference in an electrocardiogram (ECG) signal in connection with magnetic resonance imaging (MRI). In order to improve the accuracy of the suppression, the electric signal is first sampled at a high sampling frequency, whereby a first sequence of samples is obtained. Some of the samples in the first sequence of samples are then selected on the basis of predetermined criteria. The first sequence is then downsampled using the selected samples, whereby a second sequence of samples is obtained. The second sequence forms a digital presentation of the electric signal in which the interference is suppressed.