BIOSIM – ICCS.gr

Cockpit Crew Health Monitoring (CCHM)

Manos Violakis — Thu, 07 Dec 2023 22:09:31 +0000

Human factors are the principal cause of aircraft accidents, at a rate of 70 – 80%. Of these accidents, 10% are due to “disease” and the rest are due to “human error”. “Pilot incapacitation” is the term used in the literature to describe the inability of a pilot, who is part of the operating crew, to carry out his flight duties, because of one or more factors which arise in flight and affect either human physiology (i.e. disease, hypoxia) or human performance (i.e. fatigue). The incapacitation can be physical or mental, acute or progressive, evident or latent. It is evident that acute and latent incapacitation is the most dangerous for the flight safety. The COCKPIT project aims to the “in flight” monitoring -in a flight simulator environment- of a set of human physiology parameters (heart rate, breath rate, hemoglobin oxygen saturation, muscle tone and sleepiness), by using specialized sensors and advanced signal and image processing techniques. In particular, COCKPIT’s goal is to develop: (i) a real time “Cockpit Crew Health Monitoring System” and (ii) an “Early Warning System for the Second Pilot” so he resumes the control of the aircraft, thus minimizing the probability that an aircraft accident happens.

Smarty4covid

Manos Violakis — Thu, 07 Dec 2023 22:07:58 +0000

smarty4covid: Intelligent Multimodal Framework for COVID-19 Risk Assessment and Monitoring based on Explainable Deep Learning. The project aims at the development of an Intelligent Multimodal Framework for COVID-19 Risk Assessment and Monitoring based on Explainable Deep Learning. Multimodal deep learning techniques will be applied on heterogeneous data, consisting of self-reported risk factors, along with audio recordings of breathing, voice and speech, towards the discovery of novel biomarkers of infection and disease progression with the ultimate goal to (i) increase the sensitivity of the screening procedure by detecting cases with high risk of COVID-19 infection, (ii) enable the remote monitoring of patients with COVID-19, and (iii) provide alert signals in case of emergency.

The project advances the current state of the art by initiating innovative clinical pilots involving hospitalized patients with COVID-19 through a strategic partnership with the AHEPA Hospital. It is expected that the application of AI on the heterogeneous data (e.g. medical history, laboratory exams, audio recordings of breath, speech and cough) that will be collected within the framework of the clinical pilots will produce new biomarkers of disease progression.

Besides the version used within the clinical study under the supervision of healthcare professionals, smarty4covid has released a web-based application smarty4covid to facilitate crowd sourcing data collection. This parallel study aims at the development of models able to predict the risk of COVID-19 infection and provide biomarkers for disease progression in infected non-hospitalized individuals.

ENDORSE

Manos Violakis — Thu, 07 Dec 2023 22:06:33 +0000

ENDORSE: A comprehensive approach to empower self-management of health in children and adolescents with Type 1 Diabetes Mellitus and/or Obesity based on gamification mechanisms and biofeedback

The project aims at the design, implementation and evaluation of a prototype integrated platform based on advanced and emerging Information and Communication Technologies (ICT), gamification and biofeedback mechanisms facilitating self-management of health in Type 1 Diabetes Mellitus (T1DM) and obesity. ENDORSE will focus on the development of a pervasive environment able to deliver applications and services with the ultimate goal to raise awareness, to train, to monitor, to comply, to promote healthy lifestyle behavioral changes and to support decision-making by placing the target groups (children and adolescents with T1DM and/or obesity) at the center of their healthcare.

BIOSIM Laboratory organized a data competition, the ‘Sensor Informatics Challenge’

Manos Violakis — Mon, 18 Sep 2023 05:20:58 +0000

The BIOSIM Laboratory organized a data competition from August 21 to October 15, as part of the BHI 2023 conference, titled the Sensor Informatics Challenge. This unique challenge aimed to explore the potential use of sound samples as acoustic biomarkers for COVID-19 diagnosis, using the ‘smarty4covid’ dataset collected by our team. Five teams from various countries participated, each researching innovative diagnostic approaches for COVID-19-related respiratory impairments. Two outstanding teams emerged as finalists, earning the opportunity to present their solutions at the BHI 2023 conference.

Startup PhosPrint P.C. spin-off from ICCS-NTUA won 3rd prize at SPIE annual 2023 meeting

Manos Violakis — Mon, 21 Aug 2023 11:03:35 +0000

The startup PhosPrint P.C., spin-off from ICCS-NTUA, won the 3^rd prize in the Startup Challenge competition held as part of the SPIE (International Society for Optics and Photonics) annual 2023 meeting in San Francisco, USA. Co-founder of PhosPrint is Professor Ioanna Zergioti, School of Applied Mathematical and Physical Sciences of NTUA.

The Startup Challenge is aimed at start-up companies using photonics technologies in health, and award-winning companies are selected after two evaluation steps, including a pitch competition. PhosPrint was recognized for its novel laser bioprinting technology that repairs in vivo human tissue during surgery,

About 3000 companies participate in this conference and it is one of the largest scientific events in photonics.

Warmest congratulations to Prof. Zergioti and the PhosPrint people for this significant and very promising distinction.