PORTLAND, Ore., May 26, 2020 /PRNewswire/ -- SensiML™
Corporation, a leading developer of AI tools for building
intelligent IoT endpoints, today announced that it is collaborating
on an effort to use its AI technology to help predict whether
people are showing symptoms of COVID-19 infection. One such
capability involves using crowdsourcing to collect cough
sounds from a large number of volunteers and then analyzing
that data combined with other datasets from the consortium using
the SensiML Analytics Toolkit to identify the unique cough
patterns associated with COVID-19 infections. The goal of the
initiative is to give businesses, governments, healthcare, and
other public facilities access to multi-sensor pre-diagnostic
screening mechanisms to help slow the spread of the disease.
The initiative is supported by a consortium of companies,
universities, and health organizations including Asymmetric Return
Capital, SkyWater Technology, and Upward Health, an in-home and
virtual care medical provider. In addition to its work with the
consortium to build an enhanced screening application, SensiML
plans to open-source its own crowdsourced cough sound dataset for
researchers at large to access.
The concept of utilizing AI for pre-diagnostic screening of
cough acoustic samples has been studied and validated in recently
published academic research and is supported by ongoing projects at
multiple esteemed universities. Early published results
suggest that using AI to identify coughs as a COVID-19 screening
mechanism has significant potential, as the pathomorphology of the
disease is distinctive from that of other respiratory diseases.
"There is tremendous need for better pre-diagnostic screening
tools as return-to-work measures are put into place across the US
and worldwide. The entire SensiML team is excited by the
prospect that our edge AI technology can potentially make a
positive contribution to the global efforts to combat this
pandemic," said Chris Rogers,
SensiML CEO.
Data Collection
To support the crowdsourcing effort,
the company has set up a web-based data collection page which
explains the contribution process and includes a brief (voluntary)
questionnaire. No user-identifying information is collected
and all data submitted is anonymous. Those interested in
contributing a cough sample for the initiative (healthy
individuals, those having other respiratory conditions, and those
suspected or confirmed to have an active COVID-19 infection are
encouraged to contribute) can visit:
https://sensiml.com/covid-19/. Readers and contributors are
encouraged to share the link through their own social media
channels, as collecting more data will help to make the results
more accurate.
About SensiML
SensiML, a subsidiary of QuickLogic
(NASDAQ: QUIK), offers cutting-edge software that enables ultra-low
power IoT endpoints that implement AI to transform raw sensor data
into meaningful insight at the device itself. The company's
flagship solution, the SensiML Analytics Toolkit, provides an
end-to-end development platform spanning data collection, labeling,
algorithm and firmware auto generation, and testing. The SensiML
Toolkit supports Arm® Cortex®-M class and higher microcontroller
cores, Intel® x86 instruction set processors, and heterogeneous
core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.
For more information, visit www.sensiml.com.
SensiML and logo are trademarks of SensiML. All other
trademarks are the property of their respective holders and should
be treated as such.
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SOURCE SensiML Corporation