| Tissue Artifact Removal from Respiratory Signals Based on Empirical Mode Decomposition. | |
| | |
MedLine Citation:
|
PMID: 23325303 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
On-line measurement of respiration plays an important role in monitoring human physical activities. Such measurement commonly employs sensing belts secured around the rib cage and abdomen of the test object. Affected by the movement of body tissues, respiratory signals typically have a low signal-to-noise ratio. Removing tissue artifacts therefore is critical to ensuring effective respiration analysis. This paper presents a signal decomposition technique for tissue artifact removal from respiratory signals, based on the empirical mode decomposition (EMD). An algorithm based on the mutual information and power criteria was devised to automatically select appropriate intrinsic mode functions for tissue artifact removal and respiratory signal reconstruction. Performance of the EMD-algorithm was evaluated through simulations and real-life experiments (N = 105). Comparison with low-pass filtering that has been conventionally applied confirmed the effectiveness of the technique in tissue artifacts removal. |
| | |
Authors:
|
Shaopeng Liu; Robert X Gao; Dinesh John; John Staudenmayer; Patty Freedson |
Related Documents
:
|
18262943 - Tracking visible boundary of objects using occlusion adaptive motion snake. 15260573 - Manifestation of grain boundaries in the transport properties of p-sexiphenyl films. 15524903 - Breakdown of the perturbative renormalization group at certain quantum critical points. |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2013-1-17 |
Journal Detail:
|
Title: Annals of biomedical engineering Volume: - ISSN: 1521-6047 ISO Abbreviation: Ann Biomed Eng Publication Date: 2013 Jan |
Date Detail:
|
Created Date: 2013-1-17 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 0361512 Medline TA: Ann Biomed Eng Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
|
Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Rd., Unit-3139, Storrs, CT 06269, USA. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection.
Next Document: Improved Estimation of Sweating Based on Electrical Properties of Skin.