General Electric Company

Ge Healthcare Finland Oy

Instrumentarium Corporation

Hanna Elina Viertio-Oja

Juha Virtanen

Xuefeng Wang

Matti VeliTapani Huiku

Mika Särkelä

Borje T Rantala

Rui Chen

Kimmo Henrik Uutela

Bo Li

Markku Paloheimo

Tapani Salmi

Petteri Lapinlampi

Pekka Meriläinen

Emmanuel-S Cohen-Laroque

Timothy Sampson

Petteri Lampinlampi

Kimmo Uutela

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.

Method and apparatus for measuring physiological parameters

A method of monitoring a concentration of an anesthetic drug using a patient's breath is provided. The method comprises forming a breath sample using the patient's breath; exposing one or more sensors to the breath sample; detecting one or more components of the anesthetic drug in the breath sample; measuring a concentration of at least one of the components of the anesthetic drug in the breath sample; and determining a concentration of the component in a plasma of the patient using a transfer function and the concentration of the component in the breath sample.

Methods of intravenous drug monitoring

The invention relates to a method and apparatus for assessing the reactivity observable in a certain physiological signal, especially the EEG signal, of a comatose subject. In order to obtain an objective and a reliable measure of the reactivity automatically and without the presence of a trained EEG specialist, a valid signal model is constructed for an EEG signal obtained from the subject. A time reference corresponding to a stimulus is applied and further signal data is obtained from the time series, the further signal data being subsequent to the time reference. By employing the further signal data, the method tests whether the signal model remains to be a valid signal model for the EEG signal also after the stimulus, and indicates, based on the test, whether reactivity is present in the physiological signal.

Measurement for EEG reactivity

A closed loop method and apparatus for controlling the administration of an hypnotic drug to a patient. Electroencephalographic (EEG) signal data is obtained from the patient. At least one measure of the complexity of the EEG signal data is derived from the data. The complexity measure may comprise the entropy of the EEG signal data. The EEG signal data complexity measure is used as the feedback signal in a control loop for an anesthetic delivery unit to control hypnotic drug administration to the patient in a manner that provides the desired hypnotic level in the patient. An EEG signal complexity measure obtained from the cerebral activity of the patient can be advantageously used in conjunction with a measure of patient electromyographic (EMG) activity to improve the response time of hypnotic level determination and of the feedback control of drug administration. A pharmacological transfer function may be used, along with pharmacokinetic and pharmacodynamic models.

Closed loop drug administration method and apparatus using EEG complexity for control purposes

A method and apparatus for ascertaining the cerebral state of a patient. The method/apparatus may find use in ascertaining the depth of anesthesia of the patient. In one embodiment, the entropy of the patient's EEG signal data is determined as an indication of the cerebral state. A frequency domain power spectrum quantity is obtained from the patient's EMG signal data. The latter quantity can be updated more frequently than the EEG entropy due to its higher frequency. The EEG entropy indication and the EMG power spectrum indication can be combined into a composite indicator that provides an immediate indication of changes in the cerebral state of the patient. In another embodiment, the frequency range over which the entropy of the biopotential signal from the patient is determined is broadened to encompass both EEG signal data and EMG signal data and the entropy so determined used as an indication of the patient's cerebral state.

Method and apparatus for determining the cerebral state of a patient with fast response

Method of positioning electrodes in an electrode array, comprising at least five or at least seven electrodes for central nervous system (CNS) monitoring from the forehead of a patient's head. The electrodes of the array are optimally located for discriminating EEG, FEMG and EM components from the recorded biopotential signals.

Method of positioning electrodes for central nervous system monitoring

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Espoo, Finland

Hanna Elina Viertio-Oja