Abstract: 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.

Abstract: A method includes obtaining first measurements of movement of a user, processing the first measurements of movement to determine whether the user has fallen, and initiating a revocation period to determine if the user stands up in response to determining that the user has fallen. During the revocation period, the method also includes obtaining second measurements of movement of the user and processing the second measurements of movement to determine whether the user stands up before the revocation period expires. The first and second measurements of movement are measured by a movement sensor of the device. In response to determining that the user has not stood up before the revocation period expired, the method also includes automatically sending a fall alert to an emergency service. The fall alert includes data that provides an indication that the user has fallen.

Abstract: A method for detecting cognitive decline of a user includes receiving speech data corresponding to one or more utterances spoken by the user and processing the received speech data to determine if the speech data is sufficient to perform a cognitive decline analysis of the user. When the speech data is insufficient to perform the cognitive decline analysis, the method also includes initiating a follow-up interaction with the user to collect additional speech data from the user, receiving the additional speech data from the user, and processing the received speech data and the additional speech data to determine a cognitive decline score for the user. The additional speech data corresponds to one or more additional utterances spoken by the user. The method also includes performing an action based on the cognitive decline score of the user.

Abstract: According to an aspect, there is provided a computer implemented method of displaying to a user a risk score associated with a risk of a patient requiring a medical intervention. The method comprises obtaining the risk score for the patient; determining a format in which to display the risk score to the user based on a numerical literacy of the user; and sending an instruction to a user display to instruct the user display to display the risk score to the user in the determined format.

Abstract: A method includes obtaining first measurements of movement of a user, processing the first measurements of movement to determine whether the user has fallen, and initiating a revocation period to determine if the user stands up in response to determining that the user has fallen. During the revocation period, the method also includes obtaining second measurements of movement of the user and processing the second measurements of movement to determine whether the user stands up before the revocation period expires. The first and second measurements of movement are measured by a movement sensor of the device. In response to determining that the user has not stood up before the revocation period expired, the method also includes automatically sending a fall alert to an emergency service. The fall alert includes data that provides an indication that the user has fallen.

Abstract: 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.

Abstract: According to an aspect, there is provided a computer-implemented method of monitoring a subject. The method comprises, following detection of a first fall by the subject and a revocation of a fall alert for the first fall due to detecting the subject has stood up after the first fall, obtaining first measurements of movement of the subject; determining a first value of at least one mobility characteristic of the subject from the obtained first movement measurements; determining if the mobility of the subject has degraded after the first fall based on the first value of the at least one mobility characteristic and a second value of the at least one mobility characteristic, wherein the second value is determined from second movement measurements obtained prior to the first fall; and in response to determining that the mobility of the subject has degraded after the first fall, performing a fall alert action in respect of the first fall. A corresponding apparatus and a computer program product are also provided.

Abstract: According to an aspect, there is provided a computer-implemented method of monitoring a subject. The method comprises, following detection of a first fall by the subject and a revocation of a fall alert for the first fall due to detecting the subject has stood up after the first fall, obtaining first measurements of movement of the subject; determining a first value of at least one mobility characteristic of the subject from the obtained first movement measurements; determining if the mobility of the subject has degraded after the first fall based on the first value of the at least one mobility characteristic and a second value of the at least one mobility characteristic, wherein the second value is determined from second movement measurements obtained prior to the first fall; and in response to determining that the mobility of the subject has degraded after the first fall, performing a fall alert action in respect of the first fall. A corresponding apparatus and a computer program product are also provided.

Abstract: In a transient ischemic attack (TIA) alerting device, a motion sensor (24) is configured to attach to or be worn by a subject. A wearable electronic data processing device (10) includes a speaker (14), a microphone (16), a radio transmitter (26), and an electronic processor (40). The processor is programmed to perform a TIA alerting method including: detecting a TIA-symptomatic gait type by processing subject motion data acquired by the motion sensor; responsive to detecting the TIA-symptomatic gait type, executing a TIA assessment questionnaire (70) by outputting questions using the speaker and receiving spoken responses using the microphone; determining a TIA assessment based at least on the spoken responses to the questions of the TIA assessment questionnaire; and conditional on the TIA assessment indicating a possible TIA, outputting a TIA alert radio signal using the radio transmitter.

Abstract: A method of controlling a device that includes a receiver and a movement sensor includes (a) deactivating the receiver; (b) while the receiver is deactivated, analyzing measurements from the movement sensor to determine a measure of the distance the device has moved from a first location; and (c) in the event that it is determined from the measurements from the movement sensor that the device has moved from the first location by more than a threshold distance, activating the receiver and using the receiver to obtain a second measurement of the location of the device.

Abstract: There is provided a method of detecting erroneous measurements of the position of a device, the device comprising position measurement means, the method comprising determining the state of motion of a user of the device from a plurality of possible states; predicting the position of the device using a plurality of models and the determined state of motion of the user, each model corresponding to a respective one of the plurality of possible states; measuring the position of the device using the position measurement means; comparing the predicted position of the device to the measured position of the device; and determining whether the measured position of the device is erroneous based on the result of the step of comparing.

Abstract: Physiologic monitor and monitoring method for calculating the risk that a dementia-affected patient wanders away from a predefined safe area. Skin conductivity or heart rate are used to predict the user's emotional state which could lead to a wandering event. If the risk level is high, an alarm is sent to the caretaker. False alarms are reduced by considering additional input information such as activity level of the person, location of the person, time of day.

Abstract: There is provided a method of detecting erroneous measurements of the position of a device, the device comprising position measurement means, the method comprising determining the state of motion of a user of the device from a plurality of possible states; predicting the position of the device using a plurality of models and the determined state of motion of the user, each model corresponding to a respective one of the plurality of possible states; measuring the position of the device using the position measurement means; comparing the predicted position of the device to the measured position of the device; and determining whether the measured position of the device is erroneous based on the result of the step of comparing.

Abstract: There is provided a method of controlling a device that comprises a receiver and a movement sensor, the method comprising (a) deactivating the receiver; (b) while the receiver is deactivated, analyzing measurements from the movement sensor to determine a measure of the distance the device has moved from a first location; and (c) in the event that it is determined from the measurements from the movement sensor that the device has moved from the first location by more than a threshold distance, activating the receiver and using the receiver to obtain a second measurement of the location of the device.

Abstract: This invention relates to a method of selecting an optimal viewing angle position for a camera. A first quantitative score is determined for a first viewing angle position of the camera using pre-selected regions of interest as reference areas, the determining being performed in accordance to a pre-defined quantitative score rule. The angle position is adjusted from the first viewing angle position towards at least one second viewing angle position. For each at least one second viewing angle position a second quantitative score is determined in accordance to the pre-defined quantitative score rule, and finally a target viewing angle position is determined based on the determined quantitative scores.

Abstract: This invention relates to a method of selecting an optimal viewing angle position for a camera. A first quantitative score is determined for a first viewing angle position of the camera using pre-selected regions of interest as reference areas, the determining being performed in accordance to a pre-defined quantitative score rule. The angle position is adjusted from the first viewing angle position towards at least one second viewing angle position. For each at least one second viewing angle position a second quantitative score is determined in accordance to the pre-defined quantitative score rule, and finally a target viewing angle position is determined based on the determined quantitative scores.