RemoteA participates in an Aalto University project that aims to develop intelligent and robust middle- to long-term ECG monitoring solutions with substantial societal and economical impacts: detecting ischemic stroke, syncope (fainting) related to disturbance of heart rhythm or heart rate as well as discharging the patients from hospitals even one day earlier.
The project combines cutting-edge technological and medical expertise including data science and machine learning methods, IOT and Cloud systems. Besides RemoteA, also GE Healthcare, Nokia and Suunto participate in the project co-funded by Tekes. The project started in spring 2017 and will be finished by the end of 2019.
Ischemic stroke is a severe condition requiring considerable rehabilitation and, given the fact that 1/3 of the patients are below 65 years of age, is a source of great losses of productive working years. About one third of ischemic strokes are classified as cryptogenic and most episodes of atrial fibrillation are asymptomatic, which also means that continuous ECG monitoring is required. A follow-up of four weeks is a realistic target.
Discharging the patients from hospitals even one day earlier generates large savings. Easy-to-use one-week ECG monitoring with the capability that a clinician may review the rhythm and rate would be a new solution facilitating adjustment of appropriate medications when the patient is in home care.
Syncope (fainting) is a relatively common symptom. If a disturbance of heart rhythm or heart rate is suspected to be the mechanism for the bout of unconsciousness, an ECG recording demonstrating the defect is needed. A system with the capability of continuos and robust ECG recording of a month is clearly needed.
By making use of the latest data science and internet-of-things technology presents wide opportunities for start-ups and existing companies in many fields: for the electronics industries, telemedicine-based industries, telecommunication companies, data-management companies, and software and application development companies of Finland.
The potential of continuous monitoring of patients after diagnosis is significant both economically and with respect to the quality of life