Abstract: A system of estimating acclimatization to environmental conditions, and providing a corrected fitness level estimates based on said acclimatization level. The environmental conditions are particularly related to heat and altitude. At first previous training history is provided including a plurality of day records, where each day record includes a date stamp and information regarding altitude and optionally temperature and humidity and training history including timestamp and training load data from executed exercises in stored records.
Type:
Grant
Filed:
February 19, 2020
Date of Patent:
June 4, 2024
Assignee:
Firstbeat Analytics Oy
Inventors:
Mikko Seppänen, Kaisa Hämäläinen, Joonas Korhonen, Sami Saalasti, Aki Pulkkinen, Tero Myllymäki, Wille Hujanen, Joonas Koskinen
Abstract: A method and device for detecting a sleep state by heart-rate and movement data. By neural network software, a sleep state is detected using as input data movement data (move_count) and data derived from heart-rate data and/or data derived from inter-beat interval data such as (MAD) and respiration data (RESP). At least a portion of the variables (HRD, MHR, MAD, Resp, GRD) derived from the heart-rate data/inter-beat interval data are further modified by one, most preferably 2-4, artificial average functions and the cumulative sleep time is one input datum.
Abstract: A method and device for detecting a sleep state by heart-rate and movement data. By neural network software, a sleep state is detected using as input data movement data (move_count) and data derived from heart-rate data and/or data derived from inter-beat interval data such as (MAD) and respiration data (RESP). At least a portion of the variables (HRD, MHR, MAD, Resp, GRD) derived from the heart-rate data/inter-beat interval data are further modified by one, most preferably 2-4, artificial average functions and the cumulative sleep time is one input datum.
Abstract: A method and a system for determining the maximum heart rate of a user in a freely performed physical exercise and using an apparatus with software and memory. An intensity model takes account of, in addition to heart rate, respiration rate and/or kinetics-information. The kinetics information depicts change in excess post-exercise oxygen consumption (EPOC), more generally the direction of cumulative physiological disturbance in homeostasis, whether it is at steady state, on-response (rising) or off-response (descending) to decrease the value of the determined maximal heart rate to obtain a result.
Type:
Grant
Filed:
November 22, 2019
Date of Patent:
November 3, 2020
Assignee:
Firstbeat Analytics, Oy
Inventors:
Sami Saalasti, Aki Pulkkinen, Tero Myllymäki, Mikko Seppänen, Kaisa Hämäläinen, Maunu Toiviainen, Tuukka Ruhanen
Abstract: A method and system for determining anaerobic threshold intensity (AnT) of a user in a freely performed physical exercise. A physiological response of a user is measured by heart rate and measured heart rate values are recorded as heart rate data. An external workload values are recorded and are each associated with one measured heart rate values to form a plurality of data points. The data points are filtered to form accepted data points, which are classified within a plurality of heart rate segments representing a heart rate within an anaerobic threshold (AnT) of the user. A data point with highest probability is stored for each segment. A first probability factor for each accepted data point is calculated. The calculated first probability factor is compared to a stored probability factor in each segment, and the higher probability factor is retained. AnT is calculated using the stored probabilities in each segment.
Type:
Grant
Filed:
March 31, 2016
Date of Patent:
September 8, 2020
Assignee:
Firstbeat Analytics Oy
Inventors:
Sami Saalasti, Kaisa Hämäläinen, Tero Myllymäki