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The aim of the study is to regulate the human heart rate (HR) response to a predefined reference profile during aerobic activities of unknown type. A novel feature of the designed control system is obtained to generate the desired rhythmic movements, which is required to achieve the target HR profile during aerobic activities of unknown type. These rhythmic movements or frequency of locomotion is...
The aim of this paper is to develop the self biofeedback (SBF) control of oxygen consumption (Vo2) during cycling exercise. The developed system uses an estimator that can predict Vo2 in real time by using the measurements of heart rate (HR), respiratory rate (RespR) and frequency of exercising activity, this terms is known as Exercise Rate (ER). The biofeedback command is given to the exercising...
The aim of this paper is to develop estimator that can predict oxygen consumption (VO2) during cycling and rowing exercises, by using non-invasive and easily measurable quantities such as heart rate (HR), respiratory rate (RespR) and frequency of exercising activity. The frequency of exercise is quantified as a universal measure of exercise intensity and is known as Exercise Rate (ER). This ER is...
In this paper, we have developed an adaptive control system to regulate the human heart rate (HR) to a predefined reference profile, independent of the type of exercise. First a linear time varying (LTV) model has been proposed. The frequency of exercise activity termed as exercise rate (ER), measured using triaxial accelerometer (TA) is imposed as an input. The model parameters are estimated using...
The aim of this paper is to study the human Heart Rate (HR) response during walking, cycling and rowing exercises using linear time varying (LTV) models. We used the frequency of exercise locomotion as the input to the model. This frequency characterizes the stride rate, cadence rate and strokes rate of the walking, cycling and rowing exercises respectively. The time varying parameters in the LTV...
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