Heart rate (HR) and heart rate variability (HRV) indexes are useful parameters for diagnosis and prevention of several cardiovascular disease. Typically, these parameters are estimated from electrocardiogram (ECG) waveforms. However, many methods based on cardio-mechanical signals associated with heart beating are under investigation. The use of these methods has been boosted by the recent developments in sensors' fabrication and post-processing algorithms. Wearable sensors can be used to register these vibrations in form of changes of superficial accelerations and chest wall angular velocities. In this paper, we investigated the performance of a single skin-interfaced Inertial Measurement Unit (IMU) to estimate HR and HRV in the time and frequency domains. The analysis was performed in two different postures (i.e., supine and seated) to assess the influence of this condition on the performance of the proposed method and using accelerometer and gyroscope signals separately. Five volunteers were recruited in this feasibility study. Results show promising performances of the IMU in estimating HR and HRV especially when the accelerometer signals are used in seated posture.

Heart Rate And Heart Rate Variability Indexes Estimated By Mechanical Signals From A Skin-Interfaced IMU

Massaroni C.;Carassiti M.;Formica D.;Schena E.
2022-01-01

Abstract

Heart rate (HR) and heart rate variability (HRV) indexes are useful parameters for diagnosis and prevention of several cardiovascular disease. Typically, these parameters are estimated from electrocardiogram (ECG) waveforms. However, many methods based on cardio-mechanical signals associated with heart beating are under investigation. The use of these methods has been boosted by the recent developments in sensors' fabrication and post-processing algorithms. Wearable sensors can be used to register these vibrations in form of changes of superficial accelerations and chest wall angular velocities. In this paper, we investigated the performance of a single skin-interfaced Inertial Measurement Unit (IMU) to estimate HR and HRV in the time and frequency domains. The analysis was performed in two different postures (i.e., supine and seated) to assess the influence of this condition on the performance of the proposed method and using accelerometer and gyroscope signals separately. Five volunteers were recruited in this feasibility study. Results show promising performances of the IMU in estimating HR and HRV especially when the accelerometer signals are used in seated posture.
978-1-6654-1093-9
cardiovascular disease; heart rate; heart rate variability; magneto-inertial units; mechanical vibrations
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12610/69416
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact