Abstract: The present invention relates to a device, system and method for automatic and unobtrusive caloric intake detection. The device comprises a respiration input for obtaining a respiration signal indicating the subject's respiration, and an analysis unit for analyzing the obtained respiration signal in the frequency domain by determining one or more respiration signal features from the obtained respiration signal in the frequency domain related to changes in oxidation and by detecting changes of the one or more determined respiration signal features to detect periods of caloric intake by the subject.

Abstract: A patient monitoring system comprising a memory (104) comprising instruction data representing a set of instructions (106) and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to obtain patient data about a patient being monitored by the patient monitoring system, obtain previous patient data, determine a difference between the patient data and the previous patient data; and send a message to a user display associated with the patient monitoring system, to cause the user display to adapt content displayed on the user display, based on the determined difference.

Abstract: In an embodiment, a computer-implemented method (100) is described. The method comprises receiving (102) a request associated with a user for information about a client. The method further comprises, in response to the request, generating (104) information indicative of at least one interaction between at least one caregiver and a client context associated with the client based on interaction data obtained responsive to the at least one interaction. The generated information is customized to the user based on a user profile associated with the user.

Abstract: According to an aspect, there is provided a computer implemented method for processing data relating to a subject, the method comprising: generating a first query based on contextual information relating to a subject; receiving, from a user, a second query relating to the subject; and processing the first query and the second query to generate an output comprising at least one of: a request for further input from a user; an indication of clinical information relevant to the subject.

Abstract: The present invention relates to a device, system and method for generating information on musculoskeletal recovery of a subject. To enable the generation of additional information on recovery of a subject to better avoid over-fatigue, injuries and overuse fractures, the device (10) comprises a sensor input (11) configured to receive a motion parameter and/or motion signal related to motion of the subject performing an activity; a processor (12) configured to determine from the motion parameter and/or motion signal a measure of impact load, determine from the measure of impact load a measure of musculoskeletal damage, and determine from the measure of impact load information on musculoskeletal recovery indicating to which extent the musculoskeletal damage recovers over time; and an output (13) configured to output the determined information on musculoskeletal recovery.

Abstract: The present invention relates to a system (1) for estimating cardiovascular fitness of a person, comprising a heart rate monitor (10) for acquiring a heart rate signal including information about the heart rate of the person, an activity monitor (20) for acquiring an activity signal indicative of physical activity of the person, a classifier (30) for classifying the activity of the person based on the acquired activity signal, a selector (40) for selecting one or more heart rate features obtained from the acquired heart rate signal based on the acquired heart rate signal and the classification of the activity for use in an estimation of the cardiovascular fitness of the person, and an estimator (50) for estimating the cardiovascular fitness of the person based on the one or more selected heart rate features.

Abstract: A mechanism for controlling how assistance is provided to a caregiver or clinician. Information about a workload and amount of information available to the caregiver is obtained. This information is processed to determine a recommended level of assistance that should be provided to the caregiver. The operation of an assistance tool, which may be run by a processing system, is modified based upon the recommended level of assistance.

Abstract: According to an aspect, there is provided a computer-implemented method of determining a change to be made to a behavior affecting sleep of a user, the method comprising receiving, from at least a first sensor (102) or via a user input, first behavior data (104) relating to a behavior of the user that is to be changed, wherein the behavior affects the user's sleep; receiving, from at least a second sensor (106) or via a user input, first sleep data (108) indicative of a quality of sleep experienced by the user; receiving user data (110) indicative of at least one physiological parameter relating to the user; and determining, based on the first behavior data (104), the first sleep data (108) and the user data (110), a behavior change program (120) including a change to be made to the behavior of the user and a duration and frequency of each of a plurality of intervals during which the behavior change is to be implemented by the user.

Abstract: The present invention relates to a device for accurately estimating the energy expenditure of a person, in particular by which the effect of cardiovascular drift is taken into account. The device comprises an input unit (10) for obtaining a movement signal (13) representing physical activity of the person and a heart rate signal (15) representing the heart rate of the person, a cardiovascular drift determination unit (16) for determining cardiovascular drift phases (17) from said movement signal (13) and either said heart rate signal (15) and/or one or more cardiovascular drift related signals (23) carrying information on one or more of amount of sweat, weight loss, temperature rise, blood lactate concentration and physical fatigue of the person, a correction unit (18) for correcting the heart rate signal (15) generated and representing the heart rate during a cardiovascular drift phase, and an estimation unit (20) for estimating the energy expenditure of the person from the corrected heart rate signal (19).

Abstract: A method (10) for analyzing blood pressure measurements to determine any contextual or measurement tester related cause of the outlier. The method comprises identifying an obtained measurement as an outlier by comparing it with historical measurements for the subject. Any possible contextual cause of the outlier is first determined based on data in a database of contextual data for the subject. A database of historical measurement data for the tester who collected the measurement is then accessed and a determination made as to whether the outlier is attributable to the tester. Finally, the measurement, outlier status and any identified contextual or outlier-attributable cause are output. In embodiments, the measurement may be appended to a database, labelled as a true measurement and/or labelled with a cause for outlier status. Appending as a true measurement may be performed dependent on no determination being made of a contextual or tester-related cause of the outlier.

Abstract: The present invention relates to distinguishing different sedentary states of a subject. A sedentary state can refer to standing, sitting and/or lying. An apparatus for determining a sedentary state of a subject is presented that comprises a sensor interface for obtaining a movement signal indicative of a movement of the subject; an extraction unit for extracting a signal feature indicative of postural control oscillations of the subject from the movement signal, wherein the signal feature indicative of postural control oscillations is indicative of center of mass motion oscillations for preventing the subject from falling; and a classifier for classifying a sedentary state of the subject based on the signal feature indicative of postural control oscillations of the subject. Further, a corresponding method, computer program and system are presented.

Abstract: The present invention relates to an assessing system, an assessing method and a computer program for assessing a heart rate of a subject. It finds application in categorizing a physiological response as a condition, in particular in the diagnosis of pathological tachycardia and bradycardia. The assessing system comprises a photoplethysmography (PPG) signal providing unit (10); a motion signal providing unit (20); a parameter providing unit (30) for providing a subject specific parameter; a heart rate determination unit (40); a resting period determination unit (50); an abnormality determination unit (80) for determining an abnormality of the heart rate during the resting period; and an assessing unit (90) for assessing the determined abnormality based on the subject specific parameter. The invention provides a system and a method, which allow for a more reliable assessment of a heart rate of a subject based on a PPG signal of the subject.

Abstract: According to an aspect, there is provided a computer-implemented method for assessing muscle fatigue in at least one muscle of a subject.

Abstract: Presented are concepts for monitoring the liquid or food consumption of a person. Once such concept employs the step of detecting a change in weight of the person resultant from usage of a toilet. A value representative of at least one of liquid consumption and food consumption of the person may then be determined based on the detected change in weight of the person.

Abstract: There is provided an apparatus for monitoring the ingestion of food and/or drink by a subject, the apparatus comprising a control unit that comprises a first obtaining module configured to obtain measurements of one or more physiological characteristics of the subject; a second obtaining module configured to obtain measurements of eddy currents generated in the body of the subject by an externally-applied magnetic field; a setting module configured to set a respective cut-off frequency for one or more filtering stages based on a respective frequency for each of said one or more physiological characteristics; a filtering module configured to filter the measurements of eddy currents using the one or more filtering stages to remove signal components due to the one or more physiological characteristics; and a processing module configured to process the filtered measurements to determine whether food and/or drink is present in the stomach of the subject.

Abstract: Methods and systems for assessing cardio-respiratory fitness (CRF) with the use of body motion data is disclosed. Specific measurements of body movement (for example, motion amplitude or velocity, or distance covered during repetitive displacement) are dependent on a user's fitness level. Embodiments prompt the user to execute a simple set of periodic movements which can be used to estimate cardiovascular function (e.g., VO2max). Body motion data, such as activity count, accelerometer signals, or cadence of motion, is captured and analyzed to estimate the user's fitness. The combination of body motion data with various physical measurements (e.g. body weight, height, BMI) permits the method to predict the user's VO2max or similar physical fitness parameters.

Abstract: The present invention relates to a system (1) for estimating cardiovascular fitness of a person, comprising a heart rate monitor (10) for acquiring a heart rate signal including information about the heart rate of the person, an activity monitor (20) for acquiring an activity signal indicative of physical activity of the person, a classifier (30) for classifying the activity of the person based on the acquired activity signal, a selector (40) for selecting one or more heart rate features obtained from the acquired heart rate signal based on the acquired heart rate signal and the classification of the activity for use in an estimation of the cardiovascular fitness of the person, and an estimator (50) for estimating the cardiovascular fitness of the person based on the one or more selected heart rate features

Abstract: The present invention relates to a system (1) for estimating cardiovascular fitness of a person, comprising a heart rate monitor (10) for acquiring a heart rate signal including information about the heart rate of the person, an activity monitor (20) for acquiring an activity signal indicative of physical activity of the person, a classifier (30) for classifying the activity of the person based on the acquired activity signal, a selector (40) for selecting one or more heart rate features obtained from the acquired heart rate signal based on the acquired heart rate signal and the classification of the activity for use in an estimation of the cardiovascular fitness of the person, and an estimator (50) for estimating the cardiovascular fitness of the person based on the one or more selected heart rate features.

Abstract: Various embodiments relate to methods, devices, and systems for ascertaining a sedentary body posture of a subject including: determining if the subject is in a sedentary state when the subject is sedentary for a pre-determined time; receiving a heart rate signal for least one heart rate feature when the subject is in the sedentary state; deriving at least one heart rate feature value when the subject is in the sedentary state further including filtering an arousal value from the received heart rate signal, so as to reduce an influence of the arousal on the determination of the sedentary posture; and determining the sedentary body posture of the subject based on a comparison between the derived at least one heart rate feature value and a pre-determined range associated with the corresponding at least one heart rate feature, wherein for each sedentary body posture, a pre-determined range is stored.