TeMeLu: TeleMedical Lung Monitor – vibro – acoustic sensors and machine learning algorithms
Communications Disseminations 09.06.2021

TeMeLu: TeleMedical Lung Monitor – vibro – acoustic sensors and machine learning algorithms


Presentation video: TeMeLu

Final Report Video

Emergency care units for critical Covid‐19 patients are limited. Respiratory health is one of the main indicators to decide if and when a transfer to a critical health unit is necessary. TeMeLu is an acronym for Tele‐Medical Lung Monitoring, is wearable sensors that diagnose lung functions using state‐of‐the art vibro‐acoustic sensors and machine learning algorithms. It is currently an early prototype at TRL 6 (confirmed Machine Learning Algorithms) which targets to assist medical professionals in accessing changes and critical conditions of patients in deteriorating respiratory health.

TeMeLu was initially intended for a much broader spectrum of general respiratory, cardiovascular, and abdominal telemedical anomality monitoring. With COVID19 the focus shifts early detection of breathing rate changes (indication of Sepsis) and to post treatment of Covid‐19 patients (breathing trainer & recovery monitor).

COVID‐19 post‐treatment is just as relevant as the detection of critical disease progression. Covid‐19 severely damages lung‐tissue. Recovering patients have to learn how to breath regularly again. Most recovering patients adapt a gasping type breathing rhythm. This is ineffective and causes restlessness which elongates recovery. Respiratory trainers are consciously convey healthy breathing cycles.

TeMeLu intends to do the same by giving the patient a constant feedback and visualizing overall recovery trends. The feedback and overall information are valuable to patients and supervising physicians.