Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Mouse models are now widely used for studying gene function and facilitating drug discovery and development within the pharmaceutical industry. The availability of murine biomedical signals brings new challenges in terms of obtaining recordings, signal processing and analysis. Heart rate variability (HRV) is predictive of prognosis in cardiovascular disease states, especially heart failure, and also provides a measure of autonomic function. Reliable estimation of HRV metrics are of interest to those carrying out biomedical research with mouse models. A voluntary murine wheel running model is employed to test how HRV is mediated by the autonomic nervous system. Telemeters are used to measure the blood pressure waveform at 500 Hz in freely moving mice, providing a time series of cardiac interbeat intervals. An activity index is derived from the heart rate signal and compared with an independent measure of three activity states: (i) rest; (ii) activity; and (iii) exercise.


Journal article


Computers in Cardiology

Publication Date





89 - 92