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---
title: Software
layout: default
---
<meta http-equiv="refresh" content="1; URL=https://www.aimlab-technion.com" />
<!-- ***** About Us Area Start ***** -->
<section class="uza-about-us-area section-padding-80">
<div class="container">
<div class="row align-items-center">
<!-- About Thumbnail -->
<div class="col-12 col-lg-6">
<div class="about-us-thumbnail mb-80">
<img src="{{site.baseurl}}/assets/img/bg-img/oxydosa.gif" alt="">
</div>
</div>
<!-- About Us Content -->
<div class="col-12 col-lg-6">
<div class="section-heading mb-5">
<h2>OxyDOSA</h2>
</div>
<div class="about-us-content mb-80">
<div class="about-tab-area">
<ul class="nav nav-tabs mb-50" id="mona_modelTab" role="tablist">
<li class="nav-item">
<a class="nav-link active" id="tab1" data-toggle="tab" href="#tab-1" role="tab"
aria-controls="tab-1" aria-selected="true">About</a>
</li>
</ul>
</div>
<!-- Mona Tab Content -->
<div class="about-tab-content">
<div class="tab-content" id="mona_modelTabContent">
<div class="tab-pane fade show active" id="tab-1" role="tabpanel" aria-labelledby="tab1">
<!-- Tab Content Text -->
<div class="tab-content-text">
<p>The OxyDOSA web applet implements a machine learning model trained on
polysomnography recordings of a population of 887 individuals from São
Paulo.
It predicts the likelihood of obstructive sleep apnea given few demographic
and anthropomorphic information and standard overnight oximetry features.
</br></br>
Behar, J., Palmius, N., Li, Q., Garbuio, S., Rizzatti, F., Bittencourt, L.,
Tufik, S., Clifford, GD. Feasibility of single channel oximetry for mass
screening of obstructive sleep apnea. EClinicalMedicine, 2019.</p>
<a href="./oxydosa.html" class="btn uza-btn btn-3 mt-30">Try OxyDOSA</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- About Background Pattern -->
<div class="about-bg-pattern">
<img src="{{site.baseurl}}/assets/img/core-img/curve-2.png" alt="">
</div>
</section>
<!-- ***** About Us Area End ***** -->
<!-- ***** Why Choose Us Area Start ***** -->
<section class="uza-why-choose-us-area">
<div class="container">
<div class="row align-items-center">
<!-- Choose Us Content -->
<div class="col-12 col-lg-6">
<div class="choose-us-content mb-80">
<div class="section-heading mb-5">
<h2>FECGSYN</h2>
</div>
<div class="about-us-content mb-80">
<div class="about-tab-area">
<ul class="nav nav-tabs mb-50" id="mona_modelTab" role="tablist">
<li class="nav-item">
<a class="nav-link active" id="tab1" data-toggle="tab" href="#tab-1" role="tab"
aria-controls="tab-1" aria-selected="true">About</a>
</li>
</ul>
</div>
<!-- Mona Tab Content -->
<div class="about-tab-content">
<div class="tab-content" id="mona_modelTabContent">
<div class="tab-pane fade show active" id="tab-1" role="tabpanel"
aria-labelledby="tab1">
<!-- Tab Content Text -->
<div class="tab-content-text">
<p>PhysioZoo is a collaborative platform dedicated to the study of the
non-invasive fetal electrocardiography (NI-FECG) and toward ensuring
reproducible NI-FECG research.
The software includes state-of-the art algorithms for NI-FECG extraction
as well as a mathematical model that can be used to generate abdominal
electrocardiographic mixtures.
</br></br>
ehar, J., Andreotti, F., Zaunseder, S., Li, Q., Oster, J., & Clifford,
G. D. (2014). An ECG simulator for generating maternal-foetal activity
mixtures on abdominal ECG recordings. Physiological measurement, 35(8),
1537.</p>
<a href="http://fecgsyn.com/" class="btn uza-btn btn-3 mt-30">Try FECGSYN
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Choose Us Thumbnail -->
<div class="col-12 col-lg-6">
<div class="choose-us-thumbnail mb-80">
<img class="w-100" src="img/bg-img/fecgsyn.gif" alt="">
</div>
</div>
</div>
</div>
</section>
<!-- ***** Why Choose Us Area End ***** -->
<!-- ***** About Us Area Start ***** -->
<section class="uza-about-us-area section-padding-80">
<div class="container">
<div class="row align-items-center">
<!-- About Thumbnail -->
<div class="col-12 col-lg-6">
<div class="about-us-thumbnail mb-80">
<img src="{{site.baseurl}}/assets/img/bg-img/physiozoo.gif" alt="">
</div>
</div>
<!-- About Us Content -->
<div class="col-12 col-lg-6">
<div class="section-heading mb-5">
<h2>PhysioZoo</h2>
</div>
<div class="about-us-content mb-80">
<div class="about-tab-area">
<ul class="nav nav-tabs mb-50" id="mona_modelTab" role="tablist">
<li class="nav-item">
<a class="nav-link active" id="tab1" data-toggle="tab" href="#tab-1" role="tab"
aria-controls="tab-1" aria-selected="true">About</a>
</li>
</ul>
</div>
<!-- Mona Tab Content -->
<div class="about-tab-content">
<div class="tab-content" id="mona_modelTabContent">
<div class="tab-pane fade show active" id="tab-1" role="tabpanel" aria-labelledby="tab1">
<!-- Tab Content Text -->
<div class="tab-content-text">
<p>PhysioZoo is a collaborative platform dedicated to the study of the heart
rate variability (HRV) in mammals’ electrophysiological recordings.
The software includes all standard HRV algorithms as well as a user
interface that can be used for exploring the data and running the HRV
algorithms on selected sections of data.
</br></br>
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.</p>
<a href="https://physiozoo.com/" class="btn uza-btn btn-3 mt-30">Try
PhysioZoo</a>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- About Background Pattern -->
<div class="about-bg-pattern">
<img src="{{site.baseurl}}/assets/img/core-img/curve-2.png" alt="">
</div>
</section>
<!-- ***** About Us Area End ***** -->