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<h1 class="d-inline-block">
Portable Biomedicine Innovation Laboratory
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<small>Faculty of Biomedical Engineering</small>
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<h2 class="tm-banner-title">Portable Lab</h2>
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Towards Remote Health Monitoring
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The creation of intelligent algorithms combined with existing and novel wearable biosensors offer an unprecedented opportunity to improve the diagnosis and monitoring of individuals and support the management of their condition remotely i.e. outside of the traditional clinical setting.
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The “Portable Biomedicine Innovation Laboratory” provides education, a working environment and financial support to research projects that are intended to improve the management of individuals' conditions using portable systems.
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Steve and Ilene Berger
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<a href="https://physiozoo.com/">
<h3 class="tm-text-blue">PhysioZoo</h3></a>
<p>
PhysioZoo is a collaborative platform dedicated to the study of the heart rate variability in humans
i.e. the quantification and characterization of the heart beat-to-beat interval variation.
<br>
<br>
<br>
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<h3 class="tm-text-blue">Ventricular Fibrillation (VF) Prediction</h3></a>
<p>
A novel deep learning algorithm and smartphone application for the prediction of incoming VF events. The application can be used to predict forthcoming VF events to enable the prevention of the adverse cardiac event.
</p>
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<h3 class="tm-text-blue">Smart Wheel</h3>
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We created a smart wheel that allows measuring the electrocardiogram and heart rate of the driver. This physiological information may be used to detect the driver drowsiness and alert the driver to avoid accidents.
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<h3 class="tm-text-blue">Remote Fetal Monitoring</h3></a>
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We create a portable sensing system that enables the measurement of the fetal heart activity remotely. This innovative system aims to prevent pregnant women at risk to have to visit the clinic on a daily basis through the novel remote monitor.
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The Portable Biomedicine Innovation Laboratory mission is to educate students about the ecosystem of mobile health technologies (mHealth) from a technological perspective (hardware, communication and biosignals analysis) and system design for their implementation in diverse environments. This is carried out through undergraduate supervised Advanced Laboratory
and an Elective Taught Laboratory.
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<h3 class="tm-text-blue">Advanced Laboratory</h3>
<ul style="list-style-type:disc;">
<li>"Detection of Genetic Disorder Mechanisms in the Sinoatrial Node via ECG and Advanced Signal Processing"</li>
<li>"Development of an Accessible Recording System for Analyzing Heart Signals"</li>
<li>"Smartwatch in sleep monitoring"</li>
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<h5 class="tm-text-blue">“Mobile health technology for physiological signals”</h5>
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There is a high interest in developing low-cost, largely available and accurate mobile medical devices and biosignal processing software that can be used for the purpose of remote patient monitoring. The scope of this lab is to get familiar with the world of mobile health technologies (mHealth), heart rate variability analysis (biosignal processing and cardiac physiology) and the design of such technology for the developed and the developing world. </p>
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<h3><b>Principal Investigators</b></h3>
<ul style="list-style-type:disc;">
<li><a href = "https://bioelectric-bioenergetic-lab.net.technion.ac.il/">Assoc. Prof. Yael Yaniv</a></li>
<li><a href = "https://aim-lab.github.io/index.html">Assist. Prof. Joachim A. Behar</a></li>
<li><a href = "http://sznitmanlab.net.technion.ac.il/">Assoc. Prof. Josue Sznitman</a></li>
</ul>
<h3><b>Engineers</b></h3>
<ul style="list-style-type:disc;">
<li>Alexandra Alexandrovich (BSc CS, MSc BME)</li>
<li>Dr. Evgene Konyukhov (MD)</li>
<li>Dr. Inbar Brosh (PhD)</li>
</ul>
<h3><b>Current Students</b></h3>
<ul style="list-style-type:disc;">
<li>Aviv Rosenberg, PhD student </li>
<li>Savyon Mazgaoker, PhD student </li>
<li>Ido Weiser Bitoun, MD-PhD student </li>
<li>Noam Keidar, MD-PhD student </li>
<li>Vadim Gliner, PhD student </li>
<li>Moran Davoodi, MSc student </li>
<li>Ori Shemla, MSc student </li>
<li>Yonatan Elul, MSc student </li>
<li>Rotem Shapira, BSc student</li>
<li>Galia Segal, BSc student</li>
<li>Yoanathan Horev, BSc student</li>
<li>Yael Pistunovich, BSc student</li>
<li>Gal Shlifer, BSc student</li>
<li>Yuval Ben-Sason, BSc student</li>
<li>Ofri Goldenberg, BSc student</li>
</ul>
<h3><b>Alumni Students</b></h3>
<ul style="list-style-type:disc;">
<li>Eidelsztein Gal, BSc, MD student</li>
<li>Rahul Singh, BSc</li>
<li>Guy Eichler, BSc</li>
<li>Tom Greenshtein, BSc</li>
</ul>
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<br>
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<h3><b>Publications</b></h3>
<br>
Dissemination of the scientific research performed within the portable lab is key. The following research was published to date:
<br> <br>
<ul style="list-style-type:disc;">
<li>Gliner, V., Behar, J., & Yaniv, Y. (2018). Novel method to efficiently create an mHealth app: implementation of a real-time electrocardiogram R peak detector. JMIR mHealth and uHealth, 6(5), e118.</li>
<br>
<li>Behar, J. A., Rosenberg, A. A., Weiser-Bitoun, I., Shemla, O., Alexandrovich, A., Konyukhov, E., & Yaniv, Y. (2018). PhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic data. Frontiers in physiology, 9, 1390.</li>
<br>
<li>Behar, J. A., Rosenberg, A. A., Shemla, O., Murphy, K. R., Koren, G., Billman, G. E., & Yaniv, Y. (2018). A universal scaling relation for defining power spectral bands in mammalian heart rate variability analysis. Frontiers in physiology, 9.</li>
<br>
<li>Gliner V. and Yaniv Y. (2018). An SVM approach for identifying atrial fibrillation. Physiological Measurement 39(9).</li>
</ul>
</div>
<br><br>
<div class="colomn" id="Patents">
<h3><b>Patents</b></h3>
<br>
<ul style="list-style-type:disc;">
<li>Yaniv Y. Early prediction and detection of arrhythmogenic events No. 07035-P0032A.</li>
<br>
<li>Rosenberg A. A. and Yaniv Y. Non-invasive analysis of sinoatrial node function. No. 62/586,406.</li>
<br>
<li>Leichner J.M., Konyukhov E. and Yaniv Y. Real time mitochondrial dimension measurements. No. 2066-00.</li>
<br>
<li>Behar J, Rosenberg A. A. and Yaniv Y. Heart rate variability analysis in mammalians. No. 62/697,043.</li>
<br>
<li>Keidar N, Eidelsztein G, Bronstein A and Yaniv Y. System for real time predicting of ventricular fibrillation. No. 62/727,611.</li>
</ul>
</div>
<br><br>
<div class="colomn" id="Conferences">
<h3><b>Conferences and invited presentations</b></h3>
<br>
<ul style="list-style-type:disc;">
<li>Weiser-Bitoun I., Shemla O., Rosenberg A. A., Yaniv Y. and Behar J. A.. The
PhysioZoo world: integrating in vivo and in vitro data from different mammals. ISPP.
Jerusalem, 14th February 2019.
</li>
<br>
<li>Weiser-Bitoun I., Rosenberg A. A., Shemla O., Alexandrovich A., Behar J. A.
and Yaniv Y.. Accurate Heart rate Estimation in Mammalians Electrocardiographic Data.
ISHR-Israel section, Tel-Aviv, Israel, 28th March 2018.
</li>
<br>
<li>Behar, J. A. Intelligent Remote Patient Monitoring Using Mobile Health Systems. Tel
Aviv University, Department of Biomedical Engineering, Tel Aviv, Israel, 21th October 2018.
</li>
<br>
<li>Behar, J. A. PhysioZoo: a novel software for beating rate variability analysis from
mammalian electrophysiological and pulsatile data. Center for Dynamical Biomarkers
(DBIOM) at Beth Israel Deaconess Medical Center and Harvard Medical School, 7th May
2018.
</li>
<br>
<li>Behar, J. A. Physiologically informed diagnosis using cardiac mobile health systems.
New York University, Langone Health, 2nd May 2018.
</li>
<br>
<li>Behar, J. A. Physiologically informed diagnosis using cardiac mobile health systems.
New York University, Langone Health, 2nd May 2018.
6. Yaniv Yael. Pacemaker and autonomic nervous system signatures in ECG. Michigan joint meeting,
Michigan, US, 2018 (invited talk).
</li>
<br>
<li>Yaniv Y. Schrödinger’s dog: Non-invasive in-vivo analysis of intrinsic clock-like pacemaker
mechanisms. ISHR, Amsterdam, Netherland, 2018 (invited talk).
</li>
<br>
<li>Yaniv Y. Automatic detection of atrial fibrillation. 3rd International Conference on Cardiovascular
Medicine and Cardiac Surgery. Berlin, Germany, 2018 (invited talk).
</li>
<br>
<li>Yaniv Y. Big data in Biomedical Engineering Field. ICT4V- Big Data workshop, Montevideo, Uruguay,
2018 (invited talk).
</li>
<br>
</ul>
</div>
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