Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Abstract: A cardiac activity measurement assembly for a sports equipment handle and the handle is disclosed, wherein the assembly includes an optical cardiac activity sensor configured to measure cardiac activity of a user, and an attachment element for floatingly attaching the optical cardiac activity sensor to a handle of sports equipment in order to reduce pressure on a measuring head of the sensor caused by a skin contact between the measuring head and at least one finger or a palm of the user when gripping the handle.

Abstract: The present document discloses a solution for estimating blood pulse wave characteristics by using multiple measurement locations of a human body. According to an aspect, a method includes detecting, in a first measurement signal measured by a first heart activity sensor associated with a first location of a human body, a first occurrence of a blood pulse wave; detecting, in a second measurement signal measured by a second heart activity sensor from a second location of the human body different from the first location, a second occurrence of the blood pulse wave; estimating, on the basis of said detections synchronized to a common clock, time characteristics of the blood pulse wave; and computing, on the basis of said time characteristics, a metric representing a physiological condition of the human body.

Abstract: A method of estimating a stress level of a human by an apparatus using heart activity measurement data includes: executing a breathing exercise application by the apparatus, starting a breathing exercise of the breathing exercise application and outputting, during the breathing exercise, breathing instructions to a user of the apparatus; acquiring a set of heart activity measurement data samples measured by a heart activity sensor from the user during the breathing exercise; computing a set of inter-heartbeat interval samples of the set of heart activity measurement data samples; computing a cardiac coherence of the user during the exercise from the set of inter-heartbeat interval samples; measuring a respiratory rate of the user during the breathing exercise; computing a score of the breathing exercise on the basis of the respiratory rate and the cardiac coherence, the score indicating a stress level of the user; and outputting the score through an interface of the apparatus.

Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Abstract: A cardiac activity measurement assembly for a sports equipment handle and the handle is disclosed, wherein the assembly includes an optical cardiac activity sensor configured to measure cardiac activity of a user, and an attachment element for floatingly attaching the optical cardiac activity sensor to a handle of sports equipment in order to reduce pressure on a measuring head of the sensor caused by a skin contact between the measuring head and at least one finger or a palm of the user when gripping the handle.

Abstract: A method of performing clock synchronization between two apparatuses includes storing, in a first apparatus, information representing synchronization accuracy required by at least one function of the apparatus; carrying out, by the first apparatus, a service discovery procedure with a second apparatus, and receiving clock information from the second apparatus during the service discovery procedure; determining, by the first apparatus on the basis of the received clock information and said stored information, whether or not synchronization accuracy is sufficient for the at least one function; and upon determining that the synchronization accuracy is sufficient for the at least one function, synchronizing a clock of the first apparatus with a clock of the second apparatus.

Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Abstract: The present document discloses a solution for estimating blood pulse wave characteristics by using multiple measurement locations of a human body. According to an aspect, a method includes detecting, in a first measurement signal measured by a first heart activity sensor associated with a first location of a human body, a first occurrence of a blood pulse wave; detecting, in a second measurement signal measured by a second heart activity sensor from a second location of the human body different from the first location, a second occurrence of the blood pulse wave; estimating, on the basis of said detections synchronized to a common clock, time characteristics of the blood pulse wave; and computing, on the basis of said time characteristics, a metric representing a physiological condition of the human body.

Abstract: A method of performing clock synchronization between two apparatuses includes storing, in a first apparatus, information representing synchronization accuracy required by at least one function of the apparatus; carrying out, by the first apparatus, a service discovery procedure with a second apparatus, and receiving clock information from the second apparatus during the service discovery procedure; determining, by the first apparatus on the basis of the received clock information and said stored information, whether or not synchronization accuracy is sufficient for the at least one function; and upon determining that the synchronization accuracy is sufficient for the at least one function, synchronizing a clock of the first apparatus with a clock of the second apparatus.

Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Abstract: Portable equipment including in combination a heart rate measuring device and a sound reproduction unit including means for supplying a signal representative of the sound reproduction and for supplying sound information to a sound transducer, wherein said measuring device and said sound transducer are mounted at least in part in an assembly adapted to be fixed to an ear of a wearer of the equipment and, wherein said sound reproduction unit includes means for optionally substituting for and/or superimposing on said signal representative of said sound reproduction a signal generated from signals from said measuring device and representative of said heart rate. The equipment can take the form of a walkman, for example, or a hearing aid for the hard of hearing.

Abstract: Portable equipment including in combination a heart rate measuring device and a sound reproduction unit including means for supplying a signal representative of the sound reproduction and for supplying sound information to a sound transducer, wherein said measuring device and said sound transducer are mounted at least in part in an assembly adapted to be fixed to an ear of a wearer of the equipment and, wherein said sound reproduction unit includes means for optionally substituting for and/or superimposing on said signal representative of said sound reproduction a signal generated from signals from said measuring device and representative of said heart rate. The equipment can take the form of a walkman, for example, or a hearing aid for the hard of hearing.