0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The photoplethysmographic (PPG) signal is an unobtrusive blood pulsewave measure that has recently gained popularity in the context of the Internet of Things. Even though it is commonly used for heart rate detection, it has been lately employed on multimodal health and wellness monitoring applications. Unfortunately, this signal is prone to motion artifacts, making it almost useless in all situations where a person is not entirely at rest. To overcome this issue, we propose SPARE, a spectral peak recovery algorithm for PPG signals pulsewave reconstruction. Our solution exploits the local semiperiodicity of the pulsewave signal, together with the information about the cardiac rhythm provided by an available simultaneous ECG, to reconstruct its full waveform, even when affected by strong artifacts. The developed algorithm builds on state-of-the-art signal decomposition methods, and integrates novel techniques for signal reconstruction. Experimental results are reported both in the case of PPG signals acquired during physical activity and at rest, but corrupted in a systematic way by synthetic noise. The full PPG waveform reconstruction enables the identification of several health-related features from the signal, showing an improvement of up to 65% in the detection of different biomarkers from PPG signals affected by noise.

          Related collections

          Most cited references 51

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The Rise of Consumer Health Wearables: Promises and Barriers

          Lukasz Piwek and colleagues consider whether wearable technology can become a valuable asset for health care.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            On the meaning and use of kurtosis.

              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              Analysis of Time Series Structure

                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                13 April 2021
                April 2021
                : 21
                : 8
                Affiliations
                Embedded Systems Laboratory, Swiss Federal Institute of Technology in Lausanne (EPFL), 1015 Lausanne, Switzerland; fabio.dellagnola@ 123456epfl.ch (F.D.); adriana.arza@ 123456epfl.ch (A.A.V.); david.atienza@ 123456epfl.ch (D.A.)
                Author notes
                Article
                sensors-21-02725
                10.3390/s21082725
                8070644
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Biomedical engineering

                wearables, spare, ppg, multimodal monitoring, motion artifacts removal

                Comments

                Comment on this article