Abstract: A computer-implemented method for adapting a training program of a user, including: storing a database including measurement data of physical exercises the user has performed, the measurement data including at least one of heart activity measurement data and motion measurement data; receiving a user input to select a weekly template for the training program, the weekly template including a training schedule including a plurality of pre-programmed repeating exercises on the weekly template; receiving a user input indicating a repeating exercise the user indicates to perform outside the training program; acquiring, from the database on the basis of the user input indicating the repeating exercise, measurement data of past one or more physical exercises of the repeating exercise; determining, on the basis of the measurement data, a training effect of the past one or more physical exercises and determining at least one repeating physical exercise of the training schedule providing a training effect closest to the

Abstract: A computer-implemented method estimates sleep quality of a user. A related computer system, a computer program product, and a data structure are also described.

Abstract: A computer-implemented method estimates sleep quality of a user. A related computer system, a computer program product, and a data structure are also described.

Abstract: A measurement system includes one or more sensor devices that measure physiological measurement data; an apparatus including a portable electronic device and/or server computer that performs operations including receiving the physiological measurement data from the sensor device; associating the physiological measurement data with a user account of the user; determining whether the received physiological measurement data includes physiological measurement data required by an algorithm; as a response to determining that the received physiological measurement data includes physiological measurement data required by the algorithm, performing the algorithm; and as a response to determining that the received physiological measurement data includes the physiological measurement data required by the algorithm included in a coaching category that is in an inactive state, changing the coaching category to an active state.

Abstract: A method, apparatus, and a computer program for monitoring a fitness exercise are described. A plurality of heart-rate variability values and a plurality of exertion parameter values are measured during an exercise measured. The heart rate variability values correlate with the exertion parameter values through a human physiological mechanism, and the exertion parameter values characterize the physical exertion of the exercise. A mathematical correspondence is then constructed from the plurality of measured heart rate variability values and associated exertion parameter values. The mathematical correspondence describes correlation between the heart rate variability values and the exertion parameter values and the user's physiological state during the exercise. Then, the physical exertion of the exercise is monitored by applying the mathematical correspondence.

Abstract: A computer-implemented method estimates sleep quality of a user. A related computer system, a computer program product, and a data structure are also described.

Abstract: A method for physiological monitoring of a user includes: acquiring, by an apparatus, physiological measurement data of the user, wherein the physiological measurement data is obtained using one or more sensor units; associating the physiological measurement data with a user account of the user, wherein the user account includes a plurality of coaching categories, and each coaching category includes one or more algorithms; determining whether the acquired physiological measurement data includes data required by at least one of the algorithms; and as a response to determining that the acquired physiological measurement data includes the required data for the at least one algorithm, performing the at least one algorithm. The performing causing an output of coaching-category-specific instructions to the user in each of the coaching categories including the at least one performed algorithm.

Abstract: There is provided electronic device, comprising: a receiving unit configured to receive heart rate data generated by a heart rate measuring system; a calculation unit configured to calculate heart rate variation data on the basis of the received heart rate data. The electronic device further comprises: a processing unit configured to analyse the calculated heart rate variation data in comparison with the corresponding heart rate data, and to determine at least one threshold value for fat burning on the basis of the analysis.

Abstract: A portable electronic device comprises a controller and a display. The controller receives vector data on a position of a user of the portable device from a satellite positioning sensor associated with the user, and scalar data on movement of the user from at least one motion sensor associated with the user. The controller stores data based on the vector data and feeds a scalar parameter proportional to the scalar data to the display. The display displays the scalar parameter.

Abstract: The invention relates to a portable electronic device and computer software product. The portable electronic device comprises a motion detector for generating motion data characterizing the local movement of the portable electronic device, a motion intensity determiner for determining a instantaneous motion intensity value of the user of the portable electronic device from the motion data, and an active time counter for determining an active time accumulation that sums up the time periods, during which the instantaneous motion intensity value meets predefined activity criteria.

Abstract: A method, apparatus, and a computer program for monitoring a fitness exercise are described. A plurality of heart-rate variability values and a plurality of exertion parameter values are measured during an exercise measured. The heart rate variability values correlate with the exertion parameter values through a human physiological mechanism, and the exertion parameter values characterize the physical exertion of the exercise. A mathematical correspondence is then constructed from the plurality of measured heart rate variability values and associated exertion parameter values. The mathematical correspondence describes correlation between the heart rate variability values and the exertion parameter values and the user's physiological state during the exercise. Then, the physical exertion of the exercise is monitored by applying the mathematical correspondence.

Abstract: The invention relates to a portable electronic device and computer software product. The portable electronic device comprises a motion detector for generating motion data characterizing the local movement of the portable electronic device, a motion intensity determiner for determining a instantaneous motion intensity value of the user of the portable electronic device from the motion data, and an active time counter for determining an active time accumulation that sums up the time periods, during which the instantaneous motion intensity value meets predefined activity criteria.

Abstract: The invention relates to a portable electronic device and computer software product. The portable electronic device comprises a motion detector for generating motion data characterizing the local movement of the portable electronic device, a motion intensity determiner for determining a instantaneous motion intensity value of the user of the portable electronic device from the motion data, and an active time counter for determining an active time accumulation that sums up the time periods, during which the instantaneous motion intensity value meets predefined activity criteria.

Abstract: A portable electronic device comprises a controller and a display. The controller receives vector data on a position of a user of the portable device from a satellite positioning sensor associated with the user, and scalar data on movement of the user from at least one motion sensor associated with the user. The controller stores data based on the vector data and feeds a scalar parameter proportional to the scalar data to the display. The display displays the scalar parameter.

Abstract: There is provided electronic device, comprising: a receiving unit configured to receive heart rate data generated by a heart rate measuring system; a calculation unit configured to calculate heart rate variation data on the basis of the received heart rate data. The electronic device further comprises: a processing unit configured to analyse the calculated heart rate variation data in comparison with the corresponding heart rate data, and to determine at least one threshold value for fat burning on the basis of the analysis.

Abstract: The invention relates to a portable electronic device and computer software product. The portable electronic device comprises a motion detector for generating motion data characterizing the local movement of the portable electronic device, a motion intensity determiner for determining a instantaneous motion intensity value of the user of the portable electronic device from the motion data, and an active time counter for determining an active time accumulation that sums up the time periods, during which the instantaneous motion intensity value meets predefined activity criteria.