Abstract: A device for predicting a heart rate variability parameter for a user. The device including one or more processing modules configured to receive a set of heart rate measurements for a user obtained over a period of time with data indicating a time at which each measurement was obtained during the period of time, process the heart rate measurements to calculate a heart rate variability parameter over the period of time and to estimate whether the set is sufficient for calculating the heart rate variability parameter over the period of time, and to form an uncertainty score representing the result of that estimation, determine whether the heart rate variability parameter is valid by comparing the uncertainty score to a predetermined threshold, and output, in response to a determination that the heart rate variability parameter is valid, the heart rate variability parameter and a representation of the uncertainty score.

Abstract: A system, and related methods, for estimating a level of interoception in a subject, the system including a heartbeat sensor for sensing the subject's heartbeat as manifested locally to the sensor, a user interface for receiving input from the subject and a processor configured to: receive information representing the timing of sensed heartbeats; form, in dependence on the received information, a periodic output having the same frequency as the sensed heartbeats; present the periodic output to the subject; receive input of a first type from the user interface; and in dependence on the input of a first type, adjust the phase with which the periodic output is to presented to the subject.

Abstract: A method of detecting a biometric event in an input signal comprises: performing principal component analysis PCA on samples of a plurality of model signals to generate a transformation matrix having more informative components and less informative components, each model signal comprising a known signal which includes the biometric event to be detected; reducing a dimensionality of the transformation matrix by discarding one or more of the more informative components; transforming a plurality of samples of the input signal using the reduced dimensionality transformation matrix; determining a probability that the biometric event is present in the plurality of samples of the input signal, by calculating a predefined probability function for the transformed samples; and determining that the input signal includes the biometric event if the probability is higher than a threshold.

Abstract: A system and method for the automatic, procedural generation of musical content in relation to biometric data. The systems and methods use a user's device, such as a cell phone to capture image data of a body part, and derive a biometric signal from the image data. The biometric signal includes biometric parameters, which are used by a music generation engine to generate music. The music generation can also be based on user-specific data and quality data related to the biometric detection process.

Abstract: A system and method for the automatic, procedural generation of musical content in relation to biometric data. The systems and methods use a user's device, such as a cell phone to capture image data of a body part, and derive a biometric signal from the image data. The biometric signal includes biometric parameters, which are used by a music generation engine to generate music. The music generation can also be based on user-specific data and quality data related to the biometric detection process.

Abstract: Devices and methods provide feedback on breathing rate, where the device comprises a sensor interface configured to receive an electrocardiogram ECG signal; an ECG analysis unit configured to obtain a breathing rate from the received ECG signal; a feedback output mechanism for providing feedback; and a feedback generator configured to obtain an optimal breathing rate in accordance with a desired outcome and one or more heart rate and/or breathing rate characteristics detected from the ECG signal. The feedback generator is further configured to control the feedback output mechanism to output feedback synchronized to the optimal breathing rate, and subsequently adapt the feedback in accordance with changes in the one or more heart rate and/or breathing rate characteristics while the feedback is being outputted. The feedback generator may be configured further to recalculate the optimal breathing rate when the user has failed to achieved the optimal breathing rate.

Abstract: Devices and methods provide feedback on breathing rate, where the device comprises a sensor interface configured to receive an electrocardiogram ECG signal; an ECG analysis unit configured to obtain a breathing rate from the received ECG signal; a feedback output mechanism for providing feedback; and a feedback generator configured to obtain an optimal breathing rate in accordance with a desired outcome and one or more heart rate and/or breathing rate characteristics detected from the ECG signal. The feedback generator is further configured to control the feedback output mechanism to output feedback synchronised to the optimal breathing rate, and subsequently adapt the feedback in accordance with changes in the one or more heart rate and/or breathing rate characteristics while the feedback is being outputted. The feedback generator may be configured further to recalculate the optimal breathing rate when the user has failed to achieved the optimal breathing rate.

Abstract: Devices and methods for providing feedback on breathing rate are disclosed. The device comprises: a sensor interface configured to receive an electrocardiogram ECG signal; an ECG analysis unit configured to obtain a breathing rate from the received ECG signal; a feedback output mechanism for providing feedback; and a feedback generator configured to obtain an optimal breathing rate in accordance with a desired outcome and one or more heart rate and/or breathing rate characteristics detected from the ECG signal. The feedback generator is further configured to control the feedback output mechanism to output feedback synchronized to the optimal breathing rate, and subsequently adapt the feedback in accordance with changes in the one or more heart rate and/or breathing rate characteristics while the feedback is being outputted.

Abstract: Devices and methods for providing feedback on breathing rate are disclosed. The device comprises: a sensor interface configured to receive an electrocardiogram ECG signal; an ECG analysis unit configured to obtain a breathing rate from the received ECG signal; a feedback output mechanism for providing feedback; and a feedback generator configured to obtain an optimal breathing rate in accordance with a desired outcome and one or more heart rate and/or breathing rate characteristics detected from the ECG signal. The feedback generator is further configured to control the feedback output mechanism to output feedback synchronised to the optimal breathing rate, and subsequently adapt the feedback in accordance with changes in the one or more heart rate and/or breathing rate characteristics while the feedback is being outputted.

Abstract: A system and method for the automatic, procedural generation of musical content in relation to biometric data. The systems and methods use a user's device, such as a cell phone to capture image data of a body part, and derive a biometric signal from the image data. The biometric signal includes biometric parameters, which are used by a music generation engine to generate music. The music generation can also be based on user-specific data and quality data related to the biometric detection process.

Abstract: A system and method for the automatic, procedural generation of musical content in relation to biometric data. The systems and methods use a user's device, such as a cell phone to capture image data of a body part, and derive a biometric signal from the image data. The biometric signal includes biometric parameters, which are used by a music generation engine to generate music. The music generation can also be based on user-specific data and quality data related to the biometric detection process.

Abstract: A system and method for the automatic, procedural generation of musical content in relation to biometric data. The systems and methods use a user's device, such as a cell phone to capture image data of a body part, and derive a biometric signal from the image data. The biometric signal includes biometric parameters, which are used by a music generation engine to generate music. The music generation can also be based on user-specific data and quality data related to the biometric detection process.