Abstract: According to an aspect, there is provided a method comprising: receiving (402), from a sensor, first data indicative of a concentration of a first substance in sweat secreted from sweat glands of a subject; determining (404) a relationship between (i) a time of occurrence of a characteristic event in relation to the concentration of the first substance in sweat and (ii) a time of occurrence of the characteristic event in relation to the concentration of the first substance in blood; and determining (406), based on the relationship and the received first data, a time window regarding the intake of a second substance by the subject. Another aspect provides an apparatus for carrying out this method.

Abstract: A method for optimizing a pulse wave velocity measurement system, comprising: (i) transmitting a pulse from a pulse generator of a first sensor component of the pulse wave velocity measurement system, wherein the first sensor component further comprises a first clock, and wherein the pulse is transmitted from the pulse generator at a known transmission time based on the first clock; (ii) receiving the transmitted pulse by a pulse receiver of a second sensor component of the pulse wave velocity measurement system, wherein the second sensor component further comprises a second clock, and wherein the pulse is received at a known receipt time based on the second clock; (iii) comparing the known transmission time to the known receipt time; and (iv) optimizing, based on the comparison, the pulse wave velocity measurement system.

Abstract: According to an aspect there is provided an apparatus (10) for calibrating a sensor (6) of a wearable device to a reference frame of a subject (50) on which the wearable device is to be worn. The wearable device comprises an ECG electrode arrangement comprising three or more ECG electrodes (9) that are in a predefined arrangement with respect to each other, and the sensor (6) has a measurement axis in a predefined orientation with respect to the ECG electrode arrangement (8).

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 method (100) for monitoring an individual's (710) cardiac activity, the method including the steps of: (i) obtaining (110), during a calibration phase, ECG data for the individual from a ECG monitor; (ii) obtaining (120), during the calibration phase, cardiac activity data for the individual from a wearable device including a plethysmographic sensor; (iii) obtaining (130), during a monitoring phase, cardiac activity data for the individual from the wearable device including the plethysmographic sensor; (iii) generating (140) calibration data from the ECG data and cardiac activity data obtained during the calibration phase; and (iv) calibrating (150), using the calibration data, the cardiac activity data obtained by the wearable device during the monitoring phase.

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: The present invention relates to a detection of physiological signals of cardiovascular systems. In particular, it relates to a system and method for more reliably evaluating a variation of a heart rate of a subject. The system comprises a photoplethysmography (PPG) signal providing unit (10); a motion signal providing unit (20); a motion determination unit (40) for determining a motion period during which motion identifiable in the motion signal corresponds to one of a plurality of predefined motion classes; a signal reliability determination unit (50) for determining a signal reliability of the PPG signal depending on a motion influence period, wherein the motion influence period comprises the motion period and a transition period following the motion period; and a heart rate variation determination unit (60) for determining the variation of the heart rate of the subject based on the signal reliability and on the PPG signal.

Abstract: Presented are concepts for determining reliability of vital signs of a monitored subject. One such concept obtains activity data relating to detected activity or posture of the monitored subject. Based on the activity data and physiological data relating to one or more physical or physiological attributes of the monitored subject, a measure of reliability of vital signs of the monitored subject is determined.

Abstract: A method of monitoring cardiac activity of a user is provided. Heart beat time data is detected by a PPG sensor (110) in a health sensor (100) worn by the user (1). Motion data is detected by a motion sensor (120) in the health sensor (100). The output data of the PPG sensor (110), which comprises heart beat time data, is analyzed to detect arrhythmia periods. The detected heart beat time data, the detected motion data and the detected arrhythmia are forwarded to an external device, where the data can be stored. The output data of the PPG sensor (110) comprising the heart beat time data, the detected motion data and the detected arrhythmia periods are displayed such that a medical professional (2) can analyze this data to determine whether a suspected arrhythmia period is valid.

Abstract: A method of detecting the occurrence of a hot flash in an individual including obtaining heart rate sequence data for the individual for a predetermined period of time, wherein the heart rate sequence data is based on heartbeat data of the individual that is detected by a sensor unit worn by the individual, providing the heart rate sequence data to a computational model component, wherein the computational model component is structured and configured to examine the heart rate sequence data over time to determine a probability that the individual is experiencing a hot flash based on monitoring the heart rate sequence data for a pattern wherein heart rate decreases below a baseline range and then increases above the baseline range, and analyzing the heart rate sequence data in the computational model component to determine the probability.

Abstract: A vital signs monitoring system comprises a processing unit (300) for estimating an activity energy expenditure (AEE), a first activity energy expenditure determining unit (320) for determining a first activity energy expenditure (AEEHR) based on heart rate data (HR), a second activity energy expenditure determining unit (330) for determining a second activity energy expenditure (AEEAC) based on motion data (AC), and a weighting unit (340) for determining a first and second weighting factor (wHR, wAC) based on a first and second probability relating to a high exertion (hH) and relating to a low exertion (hL), and activity energy expenditure calculating unit (350) for computing an overall activity energy expenditure (AEEO) based on the first activity energy expenditure (AEEHR) weighted by the first weighting factor (wHR) and on the second activity energy expenditure (AEEAC) weighted by the second weighting factor (wAC).

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: A method of monitoring cardiac activity of a user is provided. Heart beat time data is detected by a PPG sensor (110) in a health sensor (100) worn by the user (1). Motion data is detected by a motion sensor (120) in the health sensor (100). The output data of the PPG sensor (110), which comprises heart beat time data, is analyzed to detect arrhythmia periods. The detected heart beat time data, the detected motion data and the detected arrhythmia are forwarded to an external device, where the data can be stored. The output data of the PPG sensor (110) comprising the heart beat time data, the detected motion data and the detected arrhythmia periods are displayed such that a medical professional (2) can analyze this data to determine whether a suspected arrhythmia period is valid.

Abstract: Method and apparatus for monitoring a subject There is provided a method of monitoring a subject, the method comprising obtaining measurements of a physiological characteristic of the subject over a period of time; obtaining information on a desired trend for the physiological characteristic of the subject; analysing the measurements of the physiological characteristic in a first time interval to determine a global trend having a global upper trend line for the physiological characteristic based on maxima in the measurements in the first time interval and a global lower trend line for the physiological characteristic based on minima in the measurements in the first time interval; analysing the measurements of the physiological characteristic in a second time interval to determine a local trend for the physiological characteristic, wherein the second time interval is shorter than the first time interval; determining whether feedback to the subject is required based on the global trend, the local trend and the

Abstract: A method (100) for monitoring an individual's (710) cardiac activity, the method including the steps of: (i) obtaining (110), during a calibration phase, ECG data for the individual from a ECG monitor; (ii) obtaining (120), during the calibration phase, cardiac activity data for the individual from a wearable device including a plethysmographic sensor; (iii) obtaining (130), during a monitoring phase, cardiac activity data for the individual from the wearable device including the plethysmographic sensor; (iii) generating (140) calibration data from the ECG data and cardiac activity data obtained during the calibration phase; and (iv) calibrating (150), using the calibration data, the cardiac activity data obtained by the wearable device during the monitoring phase.

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: A vital signs monitoring system comprises a processing unit (300) for estimating an activity energy expenditure (AEE), a first activity energy expenditure determining unit (320) for determining a first activity energy expenditure (AEEHR) based on heart rate data (HR), a second activity energy expenditure determining unit (330) for determining a second activity energy expenditure (AEEAC) based on motion data (AC), and a weighting unit (340) for determining a first and second weighting factor (wHR, wAC) based on a first and second probability relating to a high exertion (hH) and relating to a low exertion (hL), and activity energy expenditure calculating unit (350) for computing an overall activity energy expenditure (AEEO) based on the first activity energy expenditure (AEEHR) weighted by the first weighting factor (wHR) and on the second activity energy expenditure (AEEAC) weighted by the second weighting factor (wAC).

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: A system, method and corresponding computer program for quantifying physical fatigue are provided, the system comprising: a physiological measure providing unit (20) for providing a physiological measure of the subject, a fatigue index determination unit (200) for determining a fatigue index of the subject. The fatigue index determination unit (200) comprises a first fatigue index determination subunit (210) for determining a first fatigue index based on the physiological measure and a second fatigue index determination subunit (240) for determining a second fatigue index based on the physiological measure. The first fatigue index and the second fatigue index have a respectively different characteristic based on the physiological measure. The system, method and corresponding computer program improve the quantifying of physical fatigue of a subject.