The COVID-19 pandemic has highlighted how the healthcare system could be
overwhelmed. Telehealth stands out to be an effective solution, where patients can
be monitored remotely without packing hospitals and exposing healthcare givers to
the deadly virus. This article presents our Intel award winning solution for
diagnosing COVID-19 related symptoms and similar contagious diseases. Our
solution realizes an Internet of Things system with multimodal physiological sensing
capabilities. The sensor nodes are integrated in a wearable shirt (vest) to enable
continuous monitoring in a noninvasive manner; the data are collected and
analyzed using advanced machine learning techniques at a gateway for remote
access by a healthcare provider. Our system can be used by both patients and
quarantined individuals. The article presents an overview of the system and briefly
describes some novel techniques for increased resource efficiency and assessment
fidelity. Preliminary results are provided and the roadmap for full clinical trials is
discussed.