A novel piezoelectric sensor and signal-processing algorithm successfully extracted multiple vital signs from breathing signals, achieving an average error of 6% for heart rate compared to conventional monitors.
Does a piezoelectric sensor with signal processing accurately extract multiple vital signs compared to conventional apparatus in human subjects?
A noninvasive piezoelectric sensor combined with a novel signal processing algorithm can accurately and simultaneously extract respiration rate, heart rate, and blood pressure from the chest surface without requiring the patient to hold their breath.
The monitoring of vital signs plays a key role in the diagnosis of several diseases. Piezoelectric sensors have been utilized to collect a corresponding representative signal from the chest surface. The subject typically needs to hold his or her breath to eliminate the respiration effect. This work further contributes to the extraction of the corresponding representative vital signs directly from the measured respiration signal. The contraction and expansion of the heart muscles, as well as the respiration activities, will induce a mechanical vibration across the chest wall. The induced vibration is then captured by the piezoelectric sensor placed at the chest surface, which produces an electrical output voltage signal conformally mapped with the respiration-cardiac activities. During breathing, the measured voltage signal is composed of the cardiac cycle activities modulated along with the respiratory cycle activity. A representative model that incorporates the cardiac and respiratory activities is developed and adopted. The piezoelectric and the convolution theories along with Fourier transformation are applied to extract the corresponding cardiac activity signal from the respiration signal. All the results were validated step by step by a conventional apparatus, with good agreement observed.
Allataifeh et al. (Wed,) conducted a other in Healthy subjects (vital signs monitoring) (n=9). Piezoelectric sensor and signal processing algorithm vs. Conventional vital signs monitors was evaluated on Average error in heartbeat rate extraction. A novel piezoelectric sensor and signal-processing algorithm successfully extracted multiple vital signs from breathing signals, achieving an average error of 6% for heart rate compared to conventional monitors.