We caught up with founder, Tolga, to find out more about the product, INOCER, and their time on the SimDH programme.
How did you find the problem that this innovation addresses?
The neonatal period is the most vulnerable time for a child’s survival. Approximately 10% of newborns stays in the NICUs to analyse their cardiac and respiratory status during the transition to extrauterine environment. We should monitor the preterm infants in NICUs for apnea because of the high prevalence of apnea in this group of patients
Pulse oximetry, impedance pneumography and ECG-based cardiac monitors are common methods for the cardiorespiratory monitoring of neonates and infants.
Current cardio-respiratory monitors with the mechanical or conductive contacts cause stress for the patients. False positive alarms caused by the displacement of sensors seriously worry families and healthcare professionals.
Situations such as motion artifacts, ineffective tissue perfusion and lack of the sensors, reduce the reliability of current monitors. Time delay in the perception of signals is another important problem that will even cause delay in resuscitation. Unfortunately, almost none of the current monitors provides the reliable data on the breathing pattern. The clinical use of impedance pneumographs for this purpose is extremely limited.
Current monitors used for respiratory and cardiac monitoring of neonates and infants do not provide direct information about respiratory pattern and respiratory pauses. Besides that, they are causing stressful monitoring. The healthcare professionals and families often struggle with false positive alarms caused by the removal of sensors, this can even lead to resuscitation delays.
Our AI based non-contact monitoring system, named NeoMove provides clinically reliable data superior to current monitors. This system also provides remote control and data sharing with the health professionals, will overcome the above deficiencies of current monitors.
When did you begin working on the SimDH programme?
What have you achieved so far?
We've developed an AI algorithm; performed video capturing for trials at SimDH’s laboratory environment. Got 1-on-1 support from SimDH’s programme management and mentors. And we've contacted clinics for engagement.
What has been a challenge / what obstacles have you encountered?
It is hard to find a clinical partner to engage within our area. Also COVID-19 pandemic has caused us to stop interactions with potential partners and investors.
What are the benefits to working with SimDH for you?
SimDH has a great team, thanks to George Boorman and SBI, as well as Matt Kuppers as our mentor. You have great facilities for innovative digital health simulations as well.
I strongly recommend to join SimDH to ones with an innovative idea in digital health domain.
Do you have an innovative idea that'll help people live healthier lives, make care safer, or save resources within the health and social care system? Find out how SimDH can help you.
Find out more about Inocer via their website.