Literature DB >> 27260247

Heart rate regulation during cycle-ergometer exercise via event-driven biofeedback.

Ahmadreza Argha1, Steven W Su2, Branko G Celler3.   

Abstract

This paper is devoted to the problem of regulating the heart rate response along a predetermined reference profile, for cycle-ergometer exercises designed for training or cardio-respiratory rehabilitation. The controller designed in this study is a non-conventional, non-model-based, proportional, integral and derivative (PID) controller. The PID controller commands can be transmitted as biofeedback auditory commands, which can be heard and interpreted by the exercising subject to increase or reduce exercise intensity. However, in such a case, for the purposes of effectively communicating to the exercising subject a change in the required exercise intensity, the timing of this feedback signal relative to the position of the pedals becomes critical. A feedback signal delivered when the pedals are not in a suitable position to efficiently exert force may be ineffective and this may, in turn, lead to the cognitive disengagement of the user from the feedback controller. This note examines a novel form of control system which has been expressly designed for this project. The system is called an "actuator-based event-driven control system". The proposed control system was experimentally verified using 24 healthy male subjects who were randomly divided into two separate groups, along with cross-validation scheme. A statistical analysis was employed to test the generalisation of the PID tunes, derived based on the average transfer functions of the two groups, and it revealed that there were no significant differences between the mean values of root mean square of the tracking error of two groups (3.9 vs. 3.7 bpm, [Formula: see text]). Furthermore, the results of a second statistical hypothesis test showed that the proposed PID controller with novel synchronised biofeedback mechanism has better performance compared to a conventional PID controller with a fixed-rate biofeedback mechanism (Group 1: 3.9 vs. 5.0 bpm, Group 2: 3.7 vs. 4.4 bpm, [Formula: see text]).

Keywords:  Actuator-based event-driven PID control; Cycle-ergometer exercising; Heart rate regulation

Mesh:

Year:  2016        PMID: 27260247     DOI: 10.1007/s11517-016-1530-9

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

1.  Development of a servo-controller of heart rate using a cycle ergometer.

Authors:  T Kawada; Y Ikeda; H Takaki; M Sugimachi; O Kawaguchi; T Shishido; T Sato; W Matsuura; H Miyano; K Sunagawa
Journal:  Heart Vessels       Date:  1999       Impact factor: 2.037

2.  New algorithm to control a cycle ergometer using electrical stimulation.

Authors:  J S Petrofsky
Journal:  Med Biol Eng Comput       Date:  2003-01       Impact factor: 2.602

3.  Comparison of finger plethysmograph to ECG in the measurement of heart rate variability.

Authors:  Nicholas D Giardino; Paul M Lehrer; Robert Edelberg
Journal:  Psychophysiology       Date:  2002-03       Impact factor: 4.016

4.  Modeling effects of age and sex on cardiovascular variability responses to aerobic ergometer exercise.

Authors:  Kohzoh Yoshino; Kimihiro Adachi; Keiko Ihochi; Katsunori Matsuoka
Journal:  Med Biol Eng Comput       Date:  2007-11-06       Impact factor: 2.602

5.  Identification and control for heart rate regulation during treadmill exercise.

Authors:  Steven W Su; Lu Wang; Branko G Celler; Andrey V Savkin; Ying Guo
Journal:  IEEE Trans Biomed Eng       Date:  2007-07       Impact factor: 4.538

6.  Nonlinear modeling and control of human heart rate response during exercise with various work load intensities.

Authors:  Teddy M Cheng; Andrey V Savkin; Branko G Celler; Steven W Su; Lu Wang
Journal:  IEEE Trans Biomed Eng       Date:  2008-11       Impact factor: 4.538

7.  Between-day and within-day variability in the relation between heart rate and oxygen consumption: effect on the estimation of energy expenditure by heart-rate monitoring.

Authors:  M A McCrory; P A Molé; L A Nommsen-Rivers; K G Dewey
Journal:  Am J Clin Nutr       Date:  1997-07       Impact factor: 7.045

8.  Experimental heart rate regulation in cycle-ergometer exercises.

Authors:  Michele Paradiso; Stefano Pietrosanti; Stefano Scalzi; Patrizio Tomei; Cristiano Maria Verrelli
Journal:  IEEE Trans Biomed Eng       Date:  2012-10-16       Impact factor: 4.538

Review 9.  Exercise therapy for older persons with cardiovascular disease.

Authors:  W S Aronow
Journal:  Am J Geriatr Cardiol       Date:  2001 Sep-Oct

Review 10.  Biofeedback in rehabilitation.

Authors:  Oonagh M Giggins; Ulrik McCarthy Persson; Brian Caulfield
Journal:  J Neuroeng Rehabil       Date:  2013-06-18       Impact factor: 4.262

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  3 in total

1.  Identification and comparison of heart-rate dynamics during cycle ergometer and treadmill exercise.

Authors:  Kenneth J Hunt; Reto Grunder; Andreas Zahnd
Journal:  PLoS One       Date:  2019-08-22       Impact factor: 3.240

2.  Heart Rate Variability Control Using a Biofeedback and Wearable System.

Authors:  Eduardo Viera; Hector Kaschel; Claudio Valencia
Journal:  Sensors (Basel)       Date:  2022-09-21       Impact factor: 3.847

3.  Robust control of heart rate for cycle ergometer exercise.

Authors:  Kenneth J Hunt; Cédric C Hurni
Journal:  Med Biol Eng Comput       Date:  2019-08-30       Impact factor: 2.602

  3 in total

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