Koninklijke Philips Corporation N.v.

Koninklljke Philips N.v.

Mirela Alina Weffers-Albu

Declan Patrick Kelly

Gary Nelson Garcia Molina

Achim Gerhard Rolf Koerber

Jan Johannes Gerardus De Vries

Igor Berezhnyy

Raymond Van Ee

Huibin Wei

Lukas Stefan Gorzelniak

Rita Priori

Paulus Wilhelmus Maria Ten Brink

The invention relates to a system and a method for providing an exacerbation risk score for a respiratory disease of a patient. The system measures a heart signal and/or a blood circulation signal of a patient and detects cough events and sneeze events in the measurement data. The cough events and sneeze events are indicative for an onset of a contagion and/or an allergy, which can rapidly exacerbate a respiratory disease of the patient. Thus, the system is configured for providing unobtrusively an exacerbation risk score to the patient and/or to a physician.

Unobtrusive symptoms monitoring for allergic asthma patients

There is provided a system () for assessing delirium in a subject. The system includes a neural activity assessment module () for assessing neural activity data associated with the subject. The system also includes a delirium cause assessment module () for assessing data relating to at least one factor of a plurality of factors which contribute to the cause of delirium. The system also includes an intervention determination module () for determining, based on the assessment performed by the delirium cause assessment module, at least one intervention for reducing the contribution made by the at least one factor. A computer-implemented method and an apparatus are also disclosed.

Assessing delirium in a subject

The present invention relates to a device () for detection of a vital signs related risk score () for a bed fall risk of an individual (), the device () comprising a first port () for obtaining vital signs data () related to a vital sign of the individual () and a vital signs processing unit () for obtaining and processing the vital signs data () to generate a vital signs related risk score () indicating the bed fall risk of the individual () by detecting at least one risk factor from the vital signs data () and computing the vital signs risk score () from the at least one risk factor.

Device, system and method for patient monitoring to predict and prevent bed falls

The present invention relates to a device for assessing the ability of a person to carry out one or more activities, comprising an input unit for receiving physiological and/or behavioural data of the person, the physiological and/or behavioural data being related to one or more first level activities, a determination unit for determining a performance grade of the person regarding each first level activity based on the received physiological and/or behavioural data, and an assessment unit configured to assess an ability grade of the person to carry out one or more second level activities based on the determined performance grade, wherein each second level activity relates to one or more associated first level activities, wherein the assessment unit is further configured to output information indicative of the assessed ability grade.

Device, system and method for assessing the ability of a person to carry out one or more activities

The present invention relates to a rehabilitation system () for a patient () suffering from a damaged muscle and/or nerve, said system () comprising: a brain activity sensor () for measuring a patient's brain activity related to controlling the damaged muscle and/or nerve; &#x2014;a muscle sensor () for measuring a muscular activity of the damaged muscle and/or a neural activity of the damaged nerve; a display () for displaying a representation () of an affected body part of the patient (); and a control unit () for determining an intended movement of the affected body part in which the damaged muscle and/or nerve is arranged, and for controlling the display () to display a representation () of the intended movement, wherein the control unit () is configured to determine the intended movement based on the patient's brain activity measured by the brain activity sensor () and based on the muscular and/or neural activity of the damaged muscle and/or nerve measured by the muscle sensor ().

Rehabilitation system and method

The present invention relates to a system () for supporting an elderly, frail and/or diseased person (), in particular a person suffering from Parkinson's disease, wherein the system () comprises: a detection unit () including (i) a brain activity sensor () for detecting a brain activity signal relating to the brain activity of the person () and (ii) a motion detection unit () for detecting a motion signal relating to a motion of one or more body parts of the person (); an analysis unit () for determining, based on the detected brain activity signal and motion signal, an activity level of the person () which is indicative of the motoric and cognitive activity of the person (); and a feedback unit () for providing a feedback to the person () if the activity level of the person () exceeds a predetermined threshold.

System for supporting an elderly, frail and/or diseased person

The present invention relates to system for determining a movement of a control device and a system for detecting drowsiness of a driver of a vehicle, as well as an according processing unit used for this purpose and an according method. The system () for determining a movement comprises a plurality of light sensors (), a processing unit () and an interface (), wherein the light sensors (-) are able to transmit light intensity information to the processing unit () and the latter is able to provide information to a user. Further, the processing unit () is able to determine the movement of the control device based on the light intensity information submitted by the light sensors (-).

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Boukoul, Netherlands

Mirela Alina Weffers-Albu