Abstract: The present invention relates to a device, system and method for reliable and fast fall detection. The device comprises a sensor input (11) for obtaining sensor data related to movement of a subject acquired by a body-worn sensor (20, 22, 61) worn by the subject, and a video input (12) for obtaining video data of the subject and/or the subject's environment. An analysis unit (13) analyzes the obtained sensor data to detect one or more signal features indicative of a potential fall of the subject and for analyzing, if one or more such signal features have been detected, the detected one or more signal features and/or related sensor data in combination with related video data to identify similarities between: changes of the related sensor data and/or the signal features over time; and changes of the video data over time. An output (14, 64, 65, 66) issues a fall detection indication if the level and/or amount of detected similarities exceeds a corresponding threshold.

Abstract: There is provided a method and apparatus for determining at least one of a position and an orientation of a wearable device on a subject. At least one physiological characteristic signal is acquired from a subject (402). The acquired at least one physiological characteristic signal from the subject has one or more characteristics indicative of at least one of a position and an orientation of a wearable device on the subject. The at least one of the position and orientation of the wearable device on the subject is determined based on the one or more characteristics indicative of the at least one of the position and orientation of the wearable device on the subject (404).

Abstract: A method, and corresponding system (300), for monitoring patients based on activity state and posture. Activity state and/or posture of a patient are measured. Further, one or more vital signs of the patient are measured according to a schedule. Based on the measured activity state and/or posture of the patient and the measured one or more vital signs, the schedule is adjusted and/or patient deterioration is monitored for.

Abstract: A visit duration control system comprises a sensor (10) for sensing one or more physiological parameters of a person over time allowing the quantification of stress load of said person, a visit detector (20) for indicating the start of a third party's visit to said person, a processor (30) for determining said person's stress load from said one or more physiological parameters during said third party's visit and a signaling unit (40) for issuing a warning signal if said stress load exceeds a predetermined level.

Abstract: The present invention relates to a processing apparatus (10), system (1) and method (20) for determining an ambulation motion of a subject. Advantageously also a slow ambulation motion may be detected. The processing apparatus is configured to perform the steps of obtaining accelerometer data indicative of a trunk motion of the subject; extracting one or more orthogonal motion components from high-pass filtered accelerometer data; determining a gravity component from low-pass filtered accelerometer data; comparing a direction of at least one of said orthogonal motion components with a direction of the gravity component; and classifying a motion of the subject as ambulation if said motion component is orthogonal or parallel to said gravity component.

Abstract: The present invention relates to a device, system and method for reliable and fast fall detection. The device comprises a sensor input (11) for obtaining sensor data related to movement of a subject acquired by a body-worn sensor (20, 22, 61) worn by the subject, and a video input (12) for obtaining video data of the subject and/or the subject's environment. An analysis unit (13) analyzes the obtained sensor data to detect one or more signal features indicative of a potential fall of the subject and for analyzing, if one or more such signal features have been detected, the detected one or more signal features and/or related sensor data in combination with related video data to identify similarities between: changes of the related sensor data and/or the signal features over time; and changes of the video data over time. An output (14, 64, 65, 66) issues a fall detection indication if the level and/or amount of detected similarities exceeds a corresponding threshold.

Abstract: There is provided a method and apparatus for determining at least one of a position and an orientation of a wearable device on a subject. At least one physiological characteristic signal is acquired from a subject (402). The acquired at least one physiological characteristic signal from the subject has one or more characteristics indicative of at least one of a position and an orientation of a wearable device on the subject. The at least one of the position and orientation of the wearable device on the subject is determined based on the one or more characteristics indicative of the at least one of the position and orientation of the wearable device on the subject (404).

Abstract: A visit duration control system comprises a sensor (10) for sensing one or more physiological parameters of a person over time allowing the quantification of stress load of said person, a visit detector (20) for indicating the start of a third party's visit to said person, a processor (30) for determining said person's stress load from said one or more physiological parameters during said third party's visit and a signaling unit (40) for issuing a warning signal if said stress load exceeds a predetermined level.

Abstract: A method, and corresponding system (300), for monitoring patients based on activity state and posture. Activity state and/or posture of a patient are measured. Further, one or more vital signs of the patient are measured according to a schedule. Based on the measured activity state and/or posture of the patient and the measured one or more vital signs, the schedule is adjusted and/or patient deterioration is monitored for.