Ear Sensor Enables Safe Telemedical Care for COVID-19 Risk Patients

Using telemedicine, COVID-19 patients can be cared for safely at home - from initial home isolation to recovery or, in case problems arise, admission to hospital. A team from the Technical University of Munich (TUM) has now successfully demonstrated this in a study involving 150 patients with risk factors for a severe progression of the disease.

COVID-19 patients are required to go into home isolation. But this can be dangerous for high-risk patients if they develop a severe progression during isolation. In this case, timely admission to the hospital for treatment can be critical for survival. Unfortunately, many COVID-19 patients do not immediately notice when their condition starts to deteriorate. The alternative of playing safe by admitting all at-risk patients immediately upon diagnosis would overburden the clinics.

Small effort - large gain in safety

During the recent Corona waves, Georg Schmidt and his team provided telemedical care to more than 150 patients with risk factors for a severe progression of the disease using an ear sensor that is easily worn behind the ear like a hearing aid.

The sensor recorded all important values such as body temperature, heart rate, respiration rate, and oxygen saturation in 15-minute intervals and transmitted the data to the telemedicine center at TUM’s university hospital Klinikum rechts der Isar. There, the team continuously monitored all incoming data. In addition, each participant was called at least once a day to inquire about his or her condition.

Whenever the team noticed a deterioration in the readings, they called the patient. A physician then took a decision on whether hospitalization was indicated. With minimal effort, the team achieved a quality of monitoring quite comparable to that at a hospital.

Great patient satisfaction

Around one in eight participants had to be admitted during the study. Interestingly, most of these patients later stated that they did not themselves realize the degree of deterioration in their condition.

"To our knowledge, this is the first study worldwide to continuously monitor patients in home isolation remotely and to prompt immediate hospitalization in the event of critical health deterioration," said Prof. Georg Schmidt, head of the Biosignal Processing Group at the Klinikum rechts der Isar.

The study illustrates that COVID-19 risk patients can be monitored effectively using telemedicine, potentially saving valuable resources in future waves of infection. Patients were also very satisfied and felt significantly safer thanks to the continuous monitoring.

Wurzer D, Spielhagen P, Siegmann A, Gercekcioglu A, Gorgass J, Henze S, Kolar Y, Koneberg F, Kukkonen S, McGowan H, Schmid-Eisinger S, Steger A, Dommasch M, Haase HU, Müller A, Martens E, Haller B, Huster KM, Schmidt G.
Remote monitoring of COVID-19 positive high-risk patients in domestic isolation: A feasibility study.
PLoS One. 2021 Sep 24;16(9):e0257095. doi: 10.1371/journal.pone.0257095

Most Popular Now

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...