Power efficient compressive sensing for continuous monitoring of ECG and PPG in a wearable system

Author(s):  
Venkat Natarajan ◽  
Apoorv Vyas
Author(s):  
Vaahini Ganesan ◽  
Tuhin K. Das ◽  
Jeffrey L. Kauffman ◽  
Nazanin Rahnavard

Vibration-based monitoring of mechanical structures often involves continuous monitoring that result in high data volume and instrumentation with a large array of sensors. Previously, we have shown that Compressive Sensing (CS)-based vibration monitoring can significantly reduce both volume of data and number of sensors in temporal and spatial domains respectively. In this work, further analysis of CS-based detection and localization of structural changes is presented. Incorporating damping and noise handling in the CS algorithm improved its performance for frequency recovery. CS-based reconstruction of deflection shape of beams with fixed boundary conditions is addressed. Formulation of suitable bases with improved conditioning is explored. Restricting hyperbolic terms to lower frequencies in the basis functions improves reconstruction. An alternative is to generate an augmented basis that combines harmonic and hyperbolic terms. Incorporating known boundary conditions into the CS problem is studied.


ASAIO Journal ◽  
1993 ◽  
Vol 39 (2) ◽  
pp. 137-140 ◽  
Author(s):  
Takahiro Shinzato ◽  
Shigeru Nakai ◽  
Ichiro Takai ◽  
Tatsunori Kato ◽  
Itaru Inoue ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3018
Author(s):  
Joshua Di Tocco ◽  
Luigi Raiano ◽  
Riccardo Sabbadini ◽  
Carlo Massaroni ◽  
Domenico Formica ◽  
...  

The continuous and simultaneous monitoring of physiological parameters represents a key aspect in clinical environments, remote monitoring and occupational settings. In this regard, respiratory rate (RR) and heart rate (HR) are correlated with several physiological and pathological conditions of the patients/workers, and with environmental stressors. In this work, we present and validate a wearable device for the continuous monitoring of such parameters. The proposed system embeds four conductive sensors located on the user’s chest which allow retrieving the breathing activity through their deformation induced during cyclic expansion and contraction of the rib cage. For monitoring HR we used an embedded IMU located on the left side of the chest wall. We compared the proposed device in terms of estimating HR and RR against a reference system in three scenarios: sitting, standing and supine. The proposed system reliably estimated both RR and HR, showing low error averaged along subjects in all scenarios. This is the first study focused on the feasibility assessment of a wearable system based on a multi-sensor configuration (i.e., conductive sensors and IMU) for RR and HR monitoring. The promising results encourage the application of this approach in clinical and occupational settings.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daniela Lo Presti ◽  
Francesca Santucci ◽  
Carlo Massaroni ◽  
Domenico Formica ◽  
Roberto Setola ◽  
...  

AbstractEarly diagnosis can be crucial to limit both the mortality and economic burden of cardiovascular diseases. Recent developments have focused on the continuous monitoring of cardiac activity for a prompt diagnosis. Nowadays, wearable devices are gaining broad interest for a continuous monitoring of the heart rate (HR). One of the most promising methods to estimate HR is the seismocardiography (SCG) which allows to record the thoracic vibrations with high non-invasiveness in out-of-laboratory settings. Despite significant progress on SCG, the current state-of-the-art lacks both information on standardized sensor positioning and optimization of wearables design. Here, we introduce a soft wearable system (SWS), whose novel design, based on a soft polymer matrix embedding an array of fiber Bragg gratings, provides a good adhesion to the body and enables the simultaneous recording of SCG signals from multiple measuring sites. The feasibility assessment on healthy volunteers revealed that the SWS is a suitable wearable solution for HR monitoring and its performance in HR estimation is strongly influenced by sensor positioning and improved by a multi-sensor configuration. These promising characteristics open the possibility of using the SWS in monitoring patients with cardiac pathologies in clinical (e.g., during cardiac magnetic resonance procedures) and everyday life settings.


2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Fabrizio Taffoni ◽  
Diego Rivera ◽  
Angelica La Camera ◽  
Andrea Nicolò ◽  
Juan Ramón Velasco ◽  
...  

Over the last decades, wearable systems have gained interest for monitoring of physiological variables, promoting health, and improving exercise adherence in different populations ranging from elite athletes to patients. In this paper, we present a wearable system for the continuous real-time monitoring of respiratory frequency (fR), heart rate (HR), and movement cadence during physical activity. The system has been experimentally tested in the laboratory (by simulating the breathing pattern with a mechanical ventilator) and by collecting data from one healthy volunteer. Results show the feasibility of the proposed device for real-time continuous monitoring of fR, HR, and movement cadence both in resting condition and during activity. Finally, different synchronization techniques have been investigated to enable simultaneous data collection from different wearable modules.


ASAIO Journal ◽  
1993 ◽  
Vol 39 (2) ◽  
pp. 137-140
Author(s):  
Takahiro Shinzato ◽  
Shigeru Nakai ◽  
Ichiro Takai ◽  
Tatsunori Kato ◽  
Itaru Inoue ◽  
...  

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