Abstract: Disclosed is a method for evaluating a physiological state depicting a person's resources, in which method the alternatives of physiological states depicting resources are determined, one or more contexts are selected, one or more variables are selected for each context, in which case in the evaluation the person's physiological information is measured and recorded, the measurement-background data of the measurement are determined and recorded, a value is defined for a variable of the context, corresponding temporal periods are defined for each context, and the person's physiological state is determined. Further, in the method a preselected correlation function is defined, a value is computed for the correlation function, a reference value is computed for each physiological state, and the physiological state of the person is determined. A corresponding system employing the method for evaluating a person's physiological state is also disclosed.

Abstract: A method and system for providing computer-aided feedback to a person with the aid of a monitor and expert system. The providing of feedback includes monitoring a state, such as heart rate, of the person continuously by a monitor for at least a portion of a day, determining at least one temporal context from the analysed measurement data, classifying the value of each preselected variable into one said value range and picking from each feedback series a feedback corresponding to this value range, arranging the picked feedbacks into an order according to the priority rules, thus forming a group of consecutive feedbacks, and displaying the consecutive feedbacks, picked from the group of consecutive feedbacks, for viewing by the person.

Abstract: This document describes a fitness test application which allows the user to exercise freely (running and cycling outdoors, bicycle ergometer, rowing ergometer, treadmill) and which provides an estimate of user's fitness during and/or after the exercise. The analysis can be performed either as real-time or as post-analysis.

Abstract: Disclosed is a method for evaluating a physiological state depicting a person's resources, in which method the alternatives of physiological states depicting resources are determined, one or more contexts are selected, one or more variables are selected for each context, in which case in the evaluation the person's physiological information is measured and recorded, the measurement-background data of the measurement are determined and recorded, a value is defined for a variable of the context, corresponding temporal periods are defined for each context, and the person's physiological state is determined. Further, in the method a preselected correlation function is defined, a value is computed for the correlation function, a reference value is computed for each physiological state, and the physiological state of the person is determined. A corresponding system employing the method for evaluating a person's physiological state is also disclosed.

Abstract: A method is disclosed for guiding a person to a physiological cumulative state in physical exercise, in which the exercise has a physiological target in the form of a physiological state at the end of the exercise, a duration, and a performance parameter. At the start of the exercise the physiological target is set, as is the value of the performance parameter, and during the exercise at regular intervals: at least one quantity proportional to the momentary intensity is measured. The present physiological state and an estimate of the physiological state at the end of the exercise are calculated with the aid of momentary intensity and the exercise performed. A guidance range for the momentary intensity is defined, in order to reach the target state and the performance parameter. The user is guided by feedback to remain within the guidance intensity range.

Abstract: A method is disclosed for guiding a person to a physiological cumulative state in physical exercise, in which the exercise has a physiological target in the form of a physiological state at the end of the exercise, a duration, and a performance parameter. At the start of the exercise the physiological target is set, as is the value of the performance parameter, and during the exercise at regular intervals: at least one quantity proportional to the momentary intensity is measured. The present physiological state and an estimate of the physiological state at the end of the exercise are calculated with the aid of momentary intensity and the exercise performed. A guidance range for the momentary intensity is defined, in order to reach the target state and the performance parameter. The user is guided by feedback to remain within the guidance intensity range.

Abstract: The invention relates to a method and system for guiding a person to a physiological cumulative state in physical exercise, in which the exercise has a physiological target in the form of a physiological state at the end of the exercise, a duration, and a performance parameter. In the method at the start of the exercise the physiological target is set, as is the value of the performance parameter, and during the exercise at regular intervals: at least one quantity proportional to the momentary intensity is measured, and the present physiological state and an estimate of the physiological state and the end of the exercise are calculated with the aid of the momentary intensity and the exercise performed, and a guidance range for the momentary intensity is defined, in order to reach the target state and the performance parameter. The user is guided by means of feedback to remain within the said guidance intensity range.

Abstract: This document describes a fitness test application which allows the user to exercise freely (running and cycling outdoors, bicycle ergometer, rowing ergometer, treadmill) and which provides an estimate of user's fitness during and/or after the exercise. The analysis can be performed either as real-time or as post-analysis.

Abstract: The invention relates to a method and system for guiding a person to a physiological cumulative state in physical exercise, in which the exercise has a physiological target in the form of a physiological state at the end of the exercise, a duration, and a performance parameter. In the method at the start of the exercise the physiological target is set, as is the value of the performance parameter, and during the exercise at regular intervals: at least one quantity proportional to the momentary intensity is measured, and the present physiological state and an estimate of the physiological state and the end of the exercise are calculated with the aid of the momentary intensity and the exercise performed, and a guidance range for the momentary intensity is defined, in order to reach the target state and the performance parameter. The user is guided by means of feedback to remain within the said guidance intensity range.

Abstract: The present invention describes a method of tracking minute ventilation from R-R intervals that are based on the acquisition of ECG signal. Sub-methods (RDF1), which are mainly based on heart rate variability, are used, wherein the respiratory frequency is determined from a pattern of rhythmic changes in heart beat data. The sub-methods (RDF1-n) are combined using an expert function, wherein each sub-method (RDF1-n) determines an estimate of the respiratory frequency.

Abstract: A procedure for the detection of stress state is disclosed, wherein ambulatory heart beat signal is measured. In the first phase segments are defined from heart beat signal with a chosen rule for segmentation. Then at least one segment describing a physiological state with elevated cardiac activity due to physical workload and/or increased metabolic rate is identified and excluded, if exists, and segments other than the excluded segments are detected for a potential stress state, which is identified using a predetermined rule for the heart beat signal.

Abstract: The invention relates to a method for determining accumulated body fatigue index (BFI), wherein one or more parameters from the measurement of one or more signals are obtained sequentially as input and these parameters are information on the intensity of physical activity. BFI has a predetermined initial value, and next BFI value is always a sum of BFI-value and a difference. The difference is combination of upslope and optional downslope components of BFI determined with the said parameters and the upslope component and the optional downslope component are each determined with a function, which is scaled by a preset physiological character.

Abstract: The invention relates to a method for determining accumulated body fatigue index (BFI), wherein one or more parameters from the measurement of one or more signals are obtained sequentially as input and these parameters are information on the intensity of physical activity. BFI has a predetermined initial value, and next BFI value is always a sum of BFI-value and a difference. The difference is combination of upslope and optional downslope components of BFI determined with the said parameters and the upslope component and the optional downslope component are each determined with a function, which is scaled by a preset physiological character.

Abstract: The invention relates a procedure for the detection of stress state, wherein ambulatory heart beat signal is measured. In the first phase segments are defined from heart beat signal with a chosen rule for segmentation. Then at least one segment describing a physiological state with elevated cardiac activity due to physical workload and/or increased metabolic rate is identified and excluded, if exists, and segments other than the excluded segments are detected for a potential stress state, which is identified using a predetermined rule for the heart beat signal.

Abstract: The present invention describes a method of tracking minute ventilation from R-R intervals that are based on the acquisition of ECG signal. Sub-methods (RDF1), which are mainly based on heart rate variability, are used, wherein the respiratory frequency is determined from a pattern of rhythmic changes in heart beat data. The sub-methods (RDF1-n) are combined using an expert function, wherein each sub-method (RDF1-n) determines an estimate of the respiratory frequency.