This paper presents a simple yet novel method to estimate the heart frequency (HF) of neonates directly from the ECG signal, instead of using the RR-interval signals as generally done in clinical practices. From this, the heart rate (HR) can be derived. Thus, we avoid the use of peak detectors and the inherent errors that come with them.Our method leverages the highest Power Spectral Densities (PSD) of the ECG, for the bins around the frequencies related to heart rates for neonates, as they change in time (spectrograms).We tested our approach with the monitoring data of 6 days for 52 patients in a Neonate Intensive Care Unit (NICU) and compared against the HR from a commercial monitor, which produced a sample every second. The comparison showed that 92.4% of the samples have a difference lower than 5bpm. Moreover, we obtained a median MAE (Mean Absolute Error) between subjects equal to 2.28 bpm and a median RMSE (Root Mean Square Error) equal to 5.82 bpm. Although tested for neonates, we hypothesize that this method can also be customized for other populations.Finally, we analyze the failure cases of our method and found a direct co-allocation of errors due to moments with higher PSD in the lower frequencies with the presence of critical alarms related to other physiological systems (e.g. desaturation).
|Title of host publication||42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society|
|Subtitle of host publication||Enabling Innovative Technologies for Global Healthcare, EMBC 2020|
|Publisher||Institute of Electrical and Electronics Engineers|
|Number of pages||4|
|Publication status||Published - Jul 2020|
|Event||42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada|
Duration: 20 Jul 2020 → 24 Jul 2020
Conference number: 42
|Conference||42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2020|
|Abbreviated title||EMBC 2020|
|Period||20/07/20 → 24/07/20|
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M.B. (Beatrijs) van der Hout-van der Jagt (Content manager) & Eugenie Delvaux (Content manager)
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