Analysis Of Physiological Signals Associated With Cardiac Activity (Ecg, Ppg, Scg, Etc) To Esti[...]
Organisation/Company: Università degli Studi Roma Tre
Research Field: Engineering
Researcher Profile: Recognised Researcher (R2)Leading Researcher (R4)First Stage Researcher (R1)Established Researcher (R3)Country: Italy
Application Deadline: 28 Feb 2025 - 23:59 (UTC)
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionThe research activity consists of the analysis and processing of physiological signals associated with cardiac activity acquired through wearable devices using techniques such as electrocardiography (ECG), photoplethysmography (PPG), and seismocardiography (SCG).
These signals need to be processed to extract useful information for estimating and assessing the health status of the individuals involved, as well as properties that can allow for discrimination of a subject for identification or recognition purposes.
Both classical classifiers and regressors, as well as deep learning tools, will be employed to process the signals or the features extracted from them.
Eligibility of fellows: country/ies of residence: EUROPE
Eligibility of fellows: nationality/ies:
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