Name
Abstract | ||
|---|---|---|
This work introduces a novel physiological sensor, which combines electrical and mechanical modalities in a co-located arrangement, to reject motion-induced artefacts. The mechanically sensitive element consists of an electret condenser microphone containing a light diaphragm, allowing it to detect local mechanical displacements and disregard large-scale whole body movements. The electrically sensitive element comprises a highly flexible membrane, conductive on one side and insulating on the other. It covers the sound hole of the microphone, thereby forming an isolated pocket of air between the membrane and the diaphragm. The co-located arrangement of the modalities allows the microphone to sense mechanical disturbances directly through the electrode, thus providing an accurate proxy to artefacts caused by relative motion between the skin and the electrode. This proxy is used to reject such artefacts in the electrical physiological signals, enabling enhanced recording quality in wearable health applications. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944193 | EMBC |
Keywords | Field | DocType |
electrode,enhanced recording quality,bioelectric potentials,biomedical electrodes,electret condenser microphone,microphones,electroencephalography,local mechanical displacements,mechanically sensitive element,medical signal processing,highly flexible membrane,colocated arrangement,mechanical modalities,wearable health applications,capacitors,light diaphragm,mechanical disturbances,multimodal physiological sensor,electrets,motion artefact rejection,isolated pocket,electrical physiological signals,membranes,eeg,electrical modalities,motion-induced artefacts,skin | Computer vision,Electret,Computer science,Wearable computer,Relative motion,Electrical conductor,Electronic engineering,Artificial intelligence,Acoustics,Electrode,Microphone | Conference |
Volume | ISSN | Citations |
2014 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valentin Goverdovsky | 1 | 7 | 2.26 |
| David Looney | 2 | 61 | 8.04 |
| Preben Kidmose | 3 | 36 | 11.27 |
| Danilo P. Mandic | 4 | 758 | 53.53 |