Koninklijke Philips Corporation N.v.

Versuni Holding B.v.

Gabriele Papini

Francesco Sartor

Erik Gosuinus Petrus Schuijers

Alberto Giovanni Bonomi

Warner Rudolph Theophile Ten Kate

Paul Marcel Carl Lemmens

Louisa Simone Ruijs

Chantal Nathalie Van Den Broek

Pedro Miguel Ferreira Dos Santos Da Fonesca

Zihan Wang

Pedro Miguel Ferreira Dos Santos Da Fonseca

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.

Device, system and method for caloric intake detection

A system for detecting sleep apnea uses a PPG sensor for generating a PPG signal. An estimate of respiratory effort is derived from the PPG signal, and from this a respiratory effort signal is derived. Characteristic features are extracted from the respiratory effort signal, and sleep disordered breathing events are detected from the extracted characteristic features. This analysis can distinguish between sleep disordered breathing events and normal breathing during sleep.

Sleep apnea detection system and method

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 () for obtaining a movement signal () representing physical activity of the person and a heart rate signal () representing the heart rate of the person, a cardiovascular drift determination unit () for determining cardiovascular drift phases () from said movement signal () and either said heart rate signal () and/or one or more cardiovascular drift related signals () 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 () for correcting the heart rate signal () generated and representing the heart rate during a cardiovascular drift phase, and an estimation unit () for estimating the energy expenditure of the person from the corrected heart rate signal ().

Device, system and method for estimating the energy expenditure of a person

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.

Apparatus and method for determining a sedentary state of a subject

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.

Monitoring liquid and/or food consumption of a person

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.

Method and apparatus for monitoring the ingestion of food and/or drink by a subject

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., VO). 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 VOor similar physical fitness parameters.

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Eindhoven, Netherlands

Gabriele Papini