JOURNAL ARTICLE

University of Houston Researchers Describe Findings in Mental Health Diseases and Conditions (Skin Conductance Response Artifact Reduction: Leveraging Accelerometer Noise Reference and Deep Breath Detection).

  • Published In: Mental Health Weekly Digest, 2024. P. 657 1 of 2

  • Database: Psychology Source 2 of 2

Abstract

A recent report discusses research findings on mental health diseases and conditions, specifically focusing on the use of electrodermal activity (EDA) to track mental health through wearables. The researchers propose a multi-rate adaptive filtering scheme to reduce motion artifacts in skin conductance (SC) data collected in ambulatory settings, utilizing three-axis accelerometer data. They also investigate different types of adaptive filters and utilize the respiration signal to identify respiration-induced SC artifacts. The study concludes that effective artifact reduction can lead to reliable monitoring of autonomic nervous system (ANS) activation and the implementation of closed-loop wearable machine interface architectures to improve mental health. [Extracted from the article]

Additional Information

  • Source:Mental Health Weekly Digest. 2024/06, p657
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1543-6616
  • Accession Number:177573780
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