Koninklijke Philips Corporation N.v.

Versuni Holding B.v.

Koen Theo Johan De Groot

Mustafa Ghassan Radha

Antonius Hermanus Maria Akkermans

Reinder Haakma

Jenny Margarito

Dirk Jeroen Breebaart

Achim Hilgers

Rainer Hilbig

Alphons Antonius Maria Lambertus Bruekers

Gerben Kooijman

Pedro Miguel Fonseca

Jozef Hubertus Gelissen

Thomas Andreas Maria Kevenaar

David Antoine Christian Marie Roovers

Aweke Negash Lemma

Alphonsus Tarcisius Jozef Maria Schipper

Stefan Pfundtner

Alberto Giovanni Bonomi

Lu Wang

Cornelus Hendricus Bertus Arnoldus Van Dinther

Cornelis Harm Taal

Sabri Boughorbel

Emile Josephus Carlos Kelkboom

Berk Gokberk

Stefano Johannes Van Den Elzen

Ming Zhang

An optical vital signs sensor () is provided, which comprises a PPG sensor (), a force transducer () configured to measure a force applied via the PPG sensor () to a skin () of the user and a processing unit () configured to extract information regarding a blood volume pulse from the output of the PPG sensor () and to map the extracted information to the blood pressure value at a specific force applied to the PPG sensor ().

Optical vital signs sensor

A method and system for detecting sleep apnea involves determining the sleep stage, and detecting an apnea event based on a physiological sensor signal using selection of a detection algorithm which is dependent on the determined sleep stage. By taking account of the sleep stage when performing an automated apnea detection process, the accuracy of the apnea detection is improved.

Sleep apnea detection system and method

The present disclosure pertains to a method and system for determining the blood pressure dip of a subject based on features extracted from information generated by an on-body sensor system. The on-body sensor system includes a photoplethysmographic (PPG) sensor and a motion sensor. Blood pressure variation is captured throughout the day and utilized along with determinations of whether a subject is asleep or awake. The blood pressure determinations collected throughout the day, along with determinations of sleep periods, are used to determine a blood pressure dip for the day the on-body sensor system is worn.

System and method for non-invasive determination of blood pressure dip based on trained prediction models

A method for generating sleep apnea information for a portion of body sensor data. The method of generating sleep apnea information is made dependent upon a determined presence or absence of arrhythmia within the portion of body sensor data. A first sleep apnea detection methodology is used in response to an absence of arrhythmia being detected within the portion of body sensor data.

Arrhythmic heartbeat resilient sleep apnea detection

The present invention relates to a device () for determining an arterial compliance of a subject (). The device () comprises an inflatable cuff (), a pressure sensor () which is configured to sense a pressure signal () that is indicative of a pressure within the cuff (), a second sensor () which is at least partly integrated in the cuff () and configured to sense a second signal () that is responsive to expansions and contractions of the cuff () caused by a pulsating blood flow in an artery () of the subject (), and a processing unit (). The processing unit is configured to determine based on said part of the pressure signal () a pulse pressure of the subject (), to determine based on said part of the second signal () an arterial volume change of the artery () of the subject () during at least one cardiac cycle, and to determine the arterial compliance of the subject () based on pulse pressure and the arterial volume change.

Device and method for non-invasive assessment of maximum arterial compliance

A pressure distribution profile of a subject lying on a mat is used to derive a measure of pulse wave velocity. Beat locations are identified where beat pressure signals are identified, and pulse timing information is obtained from the beat locations. By determining a subject posture, the beat locations are mapped to anatomical body locations and arterial path length information is obtained for the anatomical body locations. A pulse wave velocity is then estimated from the pulse timing information and arterial path lengths. This method enables measuring the pulse wave velocity during sleep in a comfortable, easy and unconstrained manner. This is accomplished by analyzing signals from a pressure sensitive surface for example on top of a bed mattress or by embedding a pressure sensitive layer in the mattress.

Pulse wave velocity determination, for example for blood pressure monitoring

It is an object of the present invention to provide a heart rate monitor system () which is able to determine the resting heart rate in an effective and unobtrusive manner. In an aspect of the present invention, a heart rate monitor system () comprising an inactivity determining unit () for determining periods of inactivity (IP) of a user based on motion data (MD) detected by at least one motion sensor () attached to the user and a resting heart rate calculating unit () for calculating a resting heart rate (RHR) of the user based on heart rate data (HR) detected by at least one heart rate sensor () attached to the user during the periods of inactivity (IP) as determined by the inactivity determining unit () is provided.

Resting heart rate monitor system

A basic idea of the present invention is to selectively employ one of at least two different feature extraction processes when generating a biometric template of an individual. An individual offers a physiological property, such as a fingerprint, an iris, an ear, a face, etc., from which biometric data can be derived, to a sensor of an enrollment authority. In the following, the property to be discussed will be fingerprints, even though any suitable biometric property may be used. From the fingerprint, a positional reference point of the biometric data is derived. The derivation of the positional reference point may be accomplished using any appropriate method out of a number of known methods. Such a reference point could be the location of a core, a delta, a weighted average of minutiae coordinates, or alike. Typically, the reference point includes a core of a fingerprint expressed as a three-dimensional coordinate denoted by means of x, y, and angle &#x3b1;. A contribution indicator is calculated for the derived positional reference point, and it is determined whether the derived positional reference point can be considered reliable. Depending on the reliability of the derived reference point, one of the two different feature extraction processes is selected; either the first feature set is extracted using a method which is invariant of the derived reference point, or a method is used taking into account the derived reference point. The better the estimation of the reference point is, the more reliable the reference point-dependent extraction method is. Finally, the biometric template is generated using the extracted first feature set.

Robust biometric feature extraction with and without reference point

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Sevenum, Netherlands

Koen Theo Johan De Groot