期刊
JOURNAL OF EXPERIMENTAL BIOLOGY
卷 225, 期 19, 页码 -出版社
COMPANY BIOLOGISTS LTD
DOI: 10.1242/jeb.244729
关键词
Heat rate variability; Ecophysiology; Cardiac activity; Software; Image-analysis
类别
资金
- UK Research and Innovation (UKRI) Future Leaders Fellowship [MR/T01962X/1]
- University of Plymouth
HeartCV is an open-source Python package that enables automated measurement of heart rate and heart rate variability across a wide range of species. It integrates automated localization and has been demonstrated to be effective in comparing outputs with manual measurements for species with different heart morphologies. Additionally, its applicability to different experimental approaches and dataset types has been demonstrated.
Heart function is a key component of whole-organismal physiology. Bioimaging is commonly, but not exclusively, used for quantifying heart function in transparent individuals, including early developmental stages of aquatic animals, many of which are transparent. However, a central limitation of many imaging-related methods is the lack of transferability between species, life-history stages and experimental approaches. Furthermore, locating the heart in mobile individuals remains challenging. Here, we present HeartCV: an open-source Python package for automated measurement of heart rate and heart rate variability that integrates automated localization and is transferrable across a wide range of species. We demonstrate the efficacy of HeartCV by comparing its outputs with measurements made manually for a number of very different species with contrasting heart morphologies. Lastly, we demonstrate the applicability of the software to different experimental approaches and to different dataset types, such as those corresponding to longitudinal studies.
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