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: An apparatus includes a band configured to attach a physical activity measurement device to a human body, and electroactive material comprised in the band. The electroactive material is configured to change at least one of size and shape of the band in response to an electric input from the physical activity measurement device to the electroactive material.

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 includes: supporting a normal operation mode, during which functionalities of a portable apparatus are available through an operating system of the apparatus, wherein the operating system includes a plurality of layers including a kernel and library functions layer; supporting a limited operation mode during which the apparatus is configured to execute a physical activity algorithm based on physical activity data corresponding to a physical activity session performed by a user of the apparatus, wherein the physical activity algorithm applies a direct low-level hardware access bypassing at least the layers above the kernel and the library functions-layer; and switching between the normal operation mode and the limited operation mode.

Abstract: A system for monitoring muscle load, is configured to perform operations including: obtaining, from at least one sensor, measurement data on an exerciser; determining, based on the measurement data, a number of repetitions of a macroscopic movement performed during a physical exercise; determining, based on a conversion entry corresponding to a type of the physical exercise, muscle load coefficient of one or more muscles loaded in the physical exercise; utilizing the muscle load coefficient of the one or more muscles and the number of repetitions in determining muscle load data indicating muscle specific muscle load caused by the physical exercise performed by the exerciser; and outputting the muscle load data.

Abstract: A solution for measuring a cardiogram of a user is disclosed. According to an aspect, a portable training computer includes a communication circuitry including a radio frequency antenna and configured to transmit a radio frequency signal through the antenna, a measurement circuitry coupled to the antenna and configured to measure an electric property of the antenna, and at least one processor configured to, in a first measurement mode, detect presence of an object in proximity with the antenna on the basis of the measured electric property, and in a second measurement mode, detect motion of a body of a user of the portable training computer with respect to the antenna on the basis of the measured electric property and compute a cardiogram of the user in the basis of the detected motion.

Abstract: A system for monitoring performance of a user includes at least one processor, and at least one memory including a computer program code. The at least one memory and the computer program code are configured, with the at least one processor, to cause the system to perform operations including obtaining force data measured by at least one force sensor coupled with one or more poles and velocity data measured by at least one sensor for measuring velocity of the user, determining poling power based on the force data and the velocity data, and outputting a poling power indicator based on the determined poling power.

Abstract: A method, apparatus, and computer program for estimating user's physiological state from gait measurements carried out during a physical exercise are disclosed. The physiological state is computed from at least one of step interval variability and stride interval variability acquired from the gait measurements.

Abstract: A portable apparatus includes an exercise-measurement circuitry that measures exercise-related measurement data related to a user carrying out an exercise, a communication circuitry configured to provide the portable apparatus with wireless communication capability, and a processing circuitry configured to a perform operations. The operations include receiving the exercise-related measurement data from the exercise-measurement circuitry, receiving configuration data from an external user interface apparatus over a bidirectional wireless communication connection established through the communication circuitry and capable of transferring payload data to both directions, processing the exercise-related measurement data according to the received exercise-related parameters in order to obtain advanced exercise-related data, and communicating the advanced exercise-related measurement data to the user interface apparatus over the bidirectional wireless communication connection.

Abstract: A wearable heart activity sensor device includes a substrate of optically transparent material arranged to face a skin of a user when the sensor device is worn by the user; at least one light emitting diode, LED, arranged on the substrate and arranged to emit light through the substrate; at least one photo sensor arranged on the substrate as spatially separated from the at least one LED and arranged to absorb light through the substrate, wherein the at least one LED and the at least one photo sensor are included in a photoplethysmogram sensor of the heart activity sensor device; and an overmold of thermoplastic material covering the at least one light emitting diode, the at least one photo sensor and a space between the at least one light emitting diode and the at least one photo sensor.

Abstract: A method includes: supporting a normal operation mode, during which functionalities of a portable apparatus are available through an operating system of the apparatus, wherein the operating system includes a plurality of layers including a kernel and library functions layer; supporting a limited operation mode during which the apparatus is configured to execute a physical activity algorithm based on physical activity data corresponding to a physical activity session performed by a user of the apparatus, wherein the physical activity algorithm applies a direct low-level hardware access bypassing at least the layers above the kernel and the library functions-layer; and switching between the normal operation mode and the limited operation mode

Abstract: A watch strap includes a substantially inflexible main portion, a flexible auxiliary portion coupled to the substantially inflexible main portion, and a tightener coupled to the flexible auxiliary portion. When in use, the tightener is configured to maintain a selected tightness, and the flexible auxiliary portion is configured to be elastic.

Abstract: A method and an apparatus for performing the method are disclosed. The method includes obtaining cardiac output power data on a user; obtaining kinetic data characterizing physical exercise intensity of the physical exercise performed by the user; detecting that a measured cardiac output power exceeds a first threshold or that physical exercise intensity changes according to a rate exceeding a second threshold; upon the detecting, determining a synthetic cardiac output power parameter based at least partly on the kinetic data; and outputting the synthetic cardiac output power parameter.

Abstract: An apparatus includes a strap configured to enable the apparatus to be worn by a user; an optical measurement element configured to be placed on a skin of the user, and to measure data related to heart activity of the user; communication circuitry configured to transmit the data related to heart activity of the user according to a Bluetooth standard on a 2.4 GHz band; and an antenna coupled with the communication circuitry, and configured to access a radio interface to transmit the data related to heart activity of the user.

Abstract: An apparatus is suitable for measuring a photoplethysmogram (PPG). A photoplethysmographic sensor apparatus may include a casing defining a surface, a plurality of optical emitters configured to emit radiation extending from the surface, at least one photo sensor configured to capture radiation emitted by at least a subset of the plurality of optical emitters. At least a first measurement configuration and a second configuration is defined by the plurality of optical emitters and the at least one photo sensor such that the first and the second measurement configuration provide different measurement channels by including at least partially different sets of at least one optical emitter and at least one photo sensor. The first and second measurement configurations define different spatial configurations, each of which is line symmetric with respect to an imaginary line along the surface.

Abstract: Physiology-based selection of performance enhancing music for a specific individual is disclosed. Internal effort data and external work data both measured from a user performing an exercise while listening to a specific music track are obtained. The internal effort data describes a measured bodily input of the user, and the external work data describes a measured output effect of the user. A comparison between the internal effort data and the external work data is performed. At least one performance enhancing music track for the user is selected based on the comparison.

Abstract: A garment is made of flexible material that includes a first measurement electrode integrated into the garment at a first location, a second measurement electrode integrated into the garment at a second location different from the first location, and a measurement circuitry configured to measure bioimpedance by using the first measurement electrode and the second electrode and to transmit the measured bioimpedance and to measure electrocardiogram by using at least one of the first measurement electrode and the second electrode or another electrode. The garment is an upper body garment, in which the first measurement electrode is disposed above a heart level and the second measurement electrode is disposed below the heart level.

Abstract: A bicycle computer for monitoring performance of a user of a bicycle includes a processing circuitry; a user interface; an attaching unit for arranging the bicycle computer in an attached position; and at least one integrated proximity sensor arranged and dimensioned to measure, in the attached position, proximity data being indicative of a distance to a body part. The processing circuitry is configured to obtain the proximity data from the at least one integrated proximity sensor and to process the proximity data into one or more cycling metric. The user interface is configured to output the one or more cycling metric.