Literature DB >> 34207899

Respiration Monitoring via Forcecardiography Sensors.

Emilio Andreozzi1, Jessica Centracchio1, Vincenzo Punzo1, Daniele Esposito1, Caitlin Polley2, Gaetano D Gargiulo2,3, Paolo Bifulco1.   

Abstract

In the last few decades, a number of wearable systems for respiration monitoring that help to significantly reduce patients' discomfort and improve the reliability of measurements have been presented. A recent research trend in biosignal acquisition is focusing on the development of monolithic sensors for monitoring multiple vital signs, which could improve the simultaneous recording of different physiological data. This study presents a performance analysis of respiration monitoring performed via forcecardiography (FCG) sensors, as compared to ECG-derived respiration (EDR) and electroresistive respiration band (ERB), which was assumed as the reference. FCG is a novel technique that records the cardiac-induced vibrations of the chest wall via specific force sensors, which provide seismocardiogram-like information, along with a novel component that seems to be related to the ventricular volume variations. Simultaneous acquisitions were obtained from seven healthy subjects at rest, during both quiet breathing and forced respiration at higher and lower rates. The raw FCG sensor signals featured a large, low-frequency, respiratory component (R-FCG), in addition to the common FCG signal. Statistical analyses of R-FCG, EDR and ERB signals showed that FCG sensors ensure a more sensitive and precise detection of respiratory acts than EDR (sensitivity: 100% vs. 95.8%, positive predictive value: 98.9% vs. 92.5%), as well as a superior accuracy and precision in interbreath interval measurement (linear regression slopes and intercepts: 0.99, 0.026 s (R2 = 0.98) vs. 0.98, 0.11 s (R2 = 0.88), Bland-Altman limits of agreement: ±0.61 s vs. ±1.5 s). This study represents a first proof of concept for the simultaneous recording of respiration signals and forcecardiograms with a single, local, small, unobtrusive, cheap sensor. This would extend the scope of FCG to monitoring multiple vital signs, as well as to the analysis of cardiorespiratory interactions, also paving the way for the continuous, long-term monitoring of patients with heart and pulmonary diseases.

Entities:  

Keywords:  continuous monitoring; force sensor; force-sensitive resistors; forcecardiography; respiration

Year:  2021        PMID: 34207899     DOI: 10.3390/s21123996

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  6 in total

1.  Development of a Real-Time Thermoplastic Mask Compression Force Monitoring System Using Capacitive Force Sensor.

Authors:  Tae-Ho Kim; Min-Seok Cho; Dong-Seok Shin; Dong Ho Shin; Siyong Kim
Journal:  Front Robot AI       Date:  2022-07-06

2.  Predictive Radiation Oncology - A New NCI-DOE Scientific Space and Community.

Authors:  Jeffrey C Buchsbaum; David A Jaffray; Demba Ba; Lynn L Borkon; Christine Chalk; Caroline Chung; Matthew A Coleman; C Norman Coleman; Maximilian Diehn; Kelvin K Droegemeier; Heiko Enderling; Michael G Espey; Emily J Greenspan; Christopher M Hartshorn; Thuc Hoang; H Timothy Hsiao; Cynthia Keppel; Nathan W Moore; Fred Prior; Eric A Stahlberg; Georgia Tourassi; Karen E Willcox
Journal:  Radiat Res       Date:  2022-04-01       Impact factor: 3.372

3.  A Comparison of Heart Pulsations Provided by Forcecardiography and Double Integration of Seismocardiogram.

Authors:  Emilio Andreozzi; Jessica Centracchio; Daniele Esposito; Paolo Bifulco
Journal:  Bioengineering (Basel)       Date:  2022-04-09

4.  Respiratory-Induced Amplitude Modulation of Forcecardiography Signals.

Authors:  Jessica Centracchio; Emilio Andreozzi; Daniele Esposito; Gaetano D Gargiulo
Journal:  Bioengineering (Basel)       Date:  2022-09-07

5.  Multimodal Finger Pulse Wave Sensing: Comparison of Forcecardiography and Photoplethysmography Sensors.

Authors:  Emilio Andreozzi; Riccardo Sabbadini; Jessica Centracchio; Paolo Bifulco; Andrea Irace; Giovanni Breglio; Michele Riccio
Journal:  Sensors (Basel)       Date:  2022-10-06       Impact factor: 3.847

6.  Detection of Aortic Valve Opening and Estimation of Pre-Ejection Period in Forcecardiography Recordings.

Authors:  Jessica Centracchio; Emilio Andreozzi; Daniele Esposito; Gaetano Dario Gargiulo; Paolo Bifulco
Journal:  Bioengineering (Basel)       Date:  2022-02-22
  6 in total

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