Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Annu Int Conf IEEE Eng Med Biol Soc · Jul 2018
Clinical Validation of a Wearable Respiratory Rate Device for Neonatal Monitoring.
Respiratory rate monitoring is of paramount importance in neonatal care. Manual counting of expansions and contractions of the abdomen or diaphragm of the neonate is still the widely accepted measure of respiratory rate in most clinical settings. A practical, affordable, easy-to-use technology to continuously measure respiratory rate in neonates is essential to recognize the signs and symptoms of respiratory disorders. ⋯ Results show a high degree of correlation between the respiratory rate measured by the device and reference measurements. An intelligent algorithm which can remove motion corruption from the accelerometer data and provide reliable results is essential for large-scale adoption of the technology for both clinical as well as home monitoring. The technical details of implementation, results and analysis of the clinical study and observations made during clinical study regarding the feasibility of integrating the device in neonatal care are covered in this paper.
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Annu Int Conf IEEE Eng Med Biol Soc · Jul 2018
Night to night pulse oximetry variability in children with suspected sleep apnea.
Obstructive Sleep Apnea (OSA) is the most common form of sleep-disordered breathing in children. The gold standard to screen for OSA, polysomnography (PSG), requires an overnight stay in the hospital and is resource intensive. The Phone Oximeter is a non-invasive smartphone-based tool to record pulse oximetry. ⋯ The SMS dataset shows no significant night to night variability between the two nights at home. However, when comparing with the night at the hospital, both nights at home show a decrease in the lowest SpO2 value as well as overall SpO2 signal quality percentage. This study shows that there is variability in SpO2 signal between at-home versus in hospital settings.
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Annu Int Conf IEEE Eng Med Biol Soc · Jul 2018
Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Autoencoder.
It is evident that the electrode shift will result in a degradation of myoelectric pattern recognition classification accuracy, which is inevitable during the prosthetic socket donning and doffing. To cope with this limitation, we propose an unsupervised feature extraction method called sparse autoencoder (SAE) to extract the robust spatial structure and correlation of high density (HD) electromyography (EMG). ⋯ Furthermore, SAE is not sensitive to the shift direction that is perpendicular to the muscle fibers. The promising results of this study make great contribution to promoting the applications of pattern recognition based myoelectric control system in real-world condition.
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Annu Int Conf IEEE Eng Med Biol Soc · Jul 2018
In Vitro Hemodynamic Evaluation of Right Ventricle-Pulmonary Artery Continuity Reconstruction Through a Trileaflet Expanded Polytetrafluoroethylene Valved Conduit.
Percutaneous pulmonary valve implantation is a technique to treat narrowed pulmonary valves or leaky pulmonary valves in congenital heart disease. This technique provides a promising strategy to reduce surgical risk. In clinical cases, due to stent size restrictions, commercial valve stents are sometimes unsuitable for children or certain patients. ⋯ Compatible early clinical outcomes were also identified between ePTFE valved conduits and other valved conduits used for right ventricular outflow tract reconstruction. The ePTFE valved conduits could be implanted in relatively small patients. An in vitro experimental study provided evidence that a handmade ePTFE valved conduit could be an attractive alternative to other commercialized valved conduits used for right ventricle-pulmonary artery continuity reconstruction.
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Annu Int Conf IEEE Eng Med Biol Soc · Jul 2017
A study of color illumination effect on the SNR of rPPG signals.
Remote photoplethysmography (rPPG) can be used to measure cardiac activity by detecting the subtle color variation of the human skin tissue using an RGB camera. Recent studies have presented the feasibility and proposed multiple methods to improve the motion robustness for the subject movements. However, enhancing the signal-to-noise ratio (SNR) of the rPPG signal is still an important issue for the contactless measurement. ⋯ The results point out that different colors of light sources provide different SNR in each RGB channel. By providing the dedicated light sources (λ= 490-620) nm, the SNR of rPPG signals captured from the green color channel can be enhanced. Among the tested light sources, light green provides the most significant improvement from -11.09 to -6.6 dB compared with the fluorescent light.