Scientific Projects And Commercial Solutions

Healthcare accessibility issues have been present for some time but they have been more apparent during the past year. We have decided to increase our engagement in digital health services and put our efforts into the improvement of the healthcare system. We cover major fields of digital health – mobile health (mHealth), AI, ML, telemedicine, and sensors with our multidisciplinary team of skilled software developers which includes a Digital health expert, M.D., Ph.D. Here are some examples of our scientific projects and commercial solutions.

ACL (Anterior Cruciate Ligament) Tibial Footprint Calculator

This application utilizes an original mathematical formula for accurate prediction of the ACL tibial footprint area based only on anteroposterior and mediolateral X-rays thus reducing the costs of the preoperative diagnostic. The application’s main purpose is to lower postoperative costs of the ACL reconstruction since it’s possible to accurately calculate and reconstruct the ACL tibial footprint which contributes to the better postoperative outcome and fewer complications.

The initial data for constructing the formula was obtained by a haptic device. The points selected were used to generate a polygon mesh and a tibial plateau plane. The polygon mesh was projected onto the tibial plateau plane for visual representation. Calculations of the spatial and the projected area were performed and the data was exported into a file for a final representation.

Since the surface depends on the drill angle α it’s clear that by changing the angle a surgeon can also change the tibial footprint area. Currently, the angle of the drilled tibial tunnel is always in the same range but with this application, a surgeon can adjust the angle to reconstruct the area more precisely.

Lung Sound Phenomena AI Analyzer

It is said that AI won’t replace doctors but doctors who use AI will replace doctors who don’t. The future of healthcare will bring a more prominent patient-centered care and more intense involvement of AI which will help and improve diagnostics and clinical care relieving some of the physicians’ burden.

Long before the era of the digital stethoscope, we developed AI algorithms for analyzing lung sound phenomena as a part of a project with a leading regional pulmonary center. Since in some cases lung cancer can cause different sound phenomena such as stridor, wheezing or crackling, as well as differences in symmetry of the lung sound volume we created a database of patients' lung sound recordings. We developed algorithms for evaluation of the recording and a neural network to model the actual process of doctor decision making based on the results of executed algorithms.

STARR project

This project was done as a part of the Horizon 2020 Research and Innovation Framework Programme. We developed a develop a modular, affordable, and easy-to-use system to inform stroke survivors about the relation between their daily activities (e.g., medication intake, physical and cognitive exercises, diet, social contacts) and the risk of having a secondary stroke. One of the most important parts is the DSS (Decision Support System) module which processes the acquired data. It relies on REST (Representational State Transfer) technology and consists of SEE (Script Execution Engine), Java Virtual Machine for the execution of scripts, and setting of the environment of the scheduled execution. The output is a score that indicates a patient’s condition in time, and the possibility of a secondary stroke.

OBLO Digital Remote Care

The age of the world population especially in western countries is increasing. In the next few decades, due to the increased lifespan, more and more financial assets will be needed to provide suitable care for senior citizens. One of the main ideas on how to respond to this challenge is to move the care of the elderly to their living environments.

The advantages of remote care refer to the elderly as well as to the healthcare system are numerous, just to name a few:

  • Reduced costs
  • More comfortable lifestyle for the elderly
  • Constant monitoring
  • Connection with the caregiver

SYRMIA is acting as a scaling partner of OBLO Living, a company that is providing IoT solutions for Home and Industrial automation. OBLO digital remote care system is integrated into OBLO Living solutions and provides motion detection for care and supervision without the intrusion of privacy which can be caused by constant camera surveillance. It consists of an array of sensors placed in living space that can detect presence, movement, and fall. It can also be paired with wearables to reduce the number of false-positive fall detection cases.

Another feature of Oblo Digital Remote is an easy-to use emergency or notification system that allows easy invocation of 3rd party services like remote care, call to a caregiver, housekeeping, or asking for assistance. It consists of a central hub with wireless buttons conveniently installed in the home or in a facility. The buttons can be configured to trigger not only simple actions, but complex as well.

The IoT solution is flexible enough to build additional healthcare services on top of it.