Koninklijke Philips Corporation N.v.

Jorn Op Den Buijs

Steffen Clarence Pauws

Tine Smits

Maartje Helena Schonenberg

Mohammad Hossein Nassabi

Linda Schertzer

Patrick William Van Deursen

Marten Jeroen Pijl

Daniele De Massari

Christoph Tobias Wirth

Petrus Nicolaas Wouters

Proposed are concepts for predicting the likelihood of a brain injury of a subject resulting from a fall event experienced by the subject. Such concepts may therefore be useful for determining a need for further medical assessment or treatment of a fall by the subject. According to an exemplary concept, data from one or more sensors is used to determine information about a fall of a subject. Such information is then used in conjunction with a prediction algorithm to derive a probability of a brain injury.

Predicting the probability of a brain injury of a subject resulting from a fall

According to an aspect, there is provided an apparatus (; FIG.) for determining an action to be taken in response to an emergency call, the apparatus comprising: a processor (; FIG.) configured to receive an indication that an emergency call has been initiated; extract, from speech transmitted as part of the emergency call, features indicative of a medical condition or event relating to a subject; obtain medical data relating to the subject; predict, based on the extracted features and the medical data, an acuity level of the subject; determine, based on the acuity level, an action to be taken in respect of the subject; and provide an indication of the determined action for presentation to a recipient.

Responding to emergency calls

A computer implemented method for detecting a fall of a user within an internal space of a building, the method comprising receiving a first air-pressure sensor signal indicative of change in air-pressure measured at a device worn by the user; receiving a measurement indicative of change in air-pressure within the internal space of the building; and determining the fall of the user based on the change in air-pressure measured at the device and the measurement indicative of change in air-pressure within the internal space of the building.

Method for detecting fall of a user

In a Personal Emergency Response System (PERS) service, activation of a wearable call device by a PERS client causes a speakerphone console to connect with a PERS call center to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database and displayed on a display component at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device for display on the mobile device.

Personal emergency response system with predictive emergency dispatch risk assessment

A threshold value or range of values for results of a test used to assign patients to a particular level of treatment for a clinical condition is determined based on historical information on a plurality of patients having the clinical condition. The historical information may include values for the test performed on the patients, information on the treatment level for the clinical condition provided to the patients, information on the outcome of the clinical condition for the patients, and information on the cost associated with providing each of the treatment levels to the patients. The threshold value or range of values for results of the test is determined from the historical information, with the threshold value or range of values indicating the most cost effective treatment level for a given test result.

System and method for determining thresholds or a range of values used to allocate patients to a treatment level of a treatment program

There is provided a computer-implemented method and apparatus for determining a likelihood of occurrence of a medical event for a subject. A risk profile for the subject is acquired and a plurality of risk profiles for other subjects are obtained from a database. The acquired subject risk profile is compared to the obtained plurality of other subject risk profiles. At least one risk profile is selected from the obtained plurality of other subject risk profiles that most closely matches the acquired subject risk profile. The likelihood of occurrence of a medical event for the subject is determined based on the selected at least one risk profile. A signal indicative of the determined likelihood of occurrence of the medical event for the subject is output.

System and method for interpreting patient risk score using the risk scores and medical events from existing and matching patients

In a Personal Emergency Response System (PERS) service, activation of a wearable call device () by a PERS client causes a speakerphone console () to connect with a PERS call center () to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database () and displayed on a display component () at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device () for display on the mobile device.

There is provided an apparatus for use in monitoring the baroreceptor reflex in a user, the apparatus comprising a processor configured to process a signal output by a first sensor that is attached to or located proximate to a bed to determine when the user moves from a lying position on the bed to a sitting position, and to provide an indication of the baroreceptor reflex of the user by processing the signal to determine the change in the heart rate of the user that occurs as a result of moving from the lying position to the sitting position.

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Eindhoven, Netherlands

Jorn Op Den Buijs