Medical-grade ECG sensor for long-term monitoringShow others and affiliations
2020 (English)In: Sensors, E-ISSN 1424-8220, Vol. 20, no 6, article id 1695Article in journal (Refereed) Published
Abstract [en]
The recent trend in electrocardiogram (ECG) device development is towards wireless body sensors applied for patient monitoring. The ultimate goal is to develop a multi-functional body sensor that will provide synchronized vital bio-signs of the monitored user. In this paper, we present an ECG sensor for long-term monitoring, which measures the surface potential difference between proximal electrodes near the heart, called differential ECG lead or differential lead, in short. The sensor has been certified as a class IIa medical device and is available on the market under the trademark Savvy ECG. An improvement from the user’s perspective—immediate access to the measured data—is also implemented into the design. With appropriate placement of the device on the chest, a very clear distinction of all electrocardiographic waves can be achieved, allowing for ECG recording of high quality, sufficient for medical analysis. Experimental results that elucidate the measurements from a differential lead regarding sensors’ position, the impact of artifacts, and potential diagnostic value, are shown. We demonstrate the sensors’ potential by presenting results from its various areas of application: medicine, sports, veterinary, and some new fields of investigation, like hearth rate variability biofeedback assessment and biometric authentication.
Place, publisher, year, edition, pages
MDPI AG , 2020. Vol. 20, no 6, article id 1695
Keywords [en]
Body ECG sensor, Differential lead, Electrocardiography, Medicine, Mobile health, Sport, Veterinary, Biofeedback, Body sensor networks, mHealth, Patient monitoring, Sports, Sports medicine, Surface potential, Wearable sensors, Biometric authentication, Device development, Diagnostic value, ECG sensors, Long term monitoring, Medical analysis, Potential difference
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:mdh:diva-47456DOI: 10.3390/s20061695ISI: 000529139700154PubMedID: 32197444Scopus ID: 2-s2.0-85082146859OAI: oai:DiVA.org:mdh-47456DiVA, id: diva2:1421165
Note
Export Date: 2 April 2020; Article; Correspondence Address: Rashkovska, A.; Department of Communication Systems, Jožef Stefan Institute, Jamova cesta 39, Slovenia; email: aleksandra.rashkovska@ijs.si
2020-04-022020-04-022022-02-10Bibliographically approved