RT Conference Proceedings
T1 Adaptive Filter to Remove Motion Artifacts from GSR Sensor Embedded on Handle Cane.
A1 Villalba-Bravo, Rafael
A1 Trujillo-León, Andrés
A1 Vidal-Verdú, Fernando
K1 Biosensores
K1 Ayudas técnicas para ancianos
AB Wearable devices capable of recording physiological variables such as pulse and electrodermal activity have become popular in the form of smart watches or bracelets. The measurement is affected by the relative movement of the device with respect to the skin, generating artifacts. An alternative to watches or bracelets that can improve adherence for population groups such as elderly people may be the integration of sensors into everyday objects, such as walking sticks. In this case, the challenge of motion artifacts is particularly difficult. This paper presents a strategy based on a Notch filter that adapts its center frequency from the reading of a force sensor placed under the GSR sensor. A noticeable reduction of the interference from motion artifacts is observed.
PB IEEE
YR 2024
FD 2024
LK https://hdl.handle.net/10630/36617
UL https://hdl.handle.net/10630/36617
LA eng
NO R. Villalba-Bravo, A. Trujillo-León and F. Vidal-Verdú, "Adaptive Filter to Remove Motion Artifacts from GSR Sensor Embedded on Handle Cane," 2024 IEEE SENSORS, Kobe, Japan, 2024, pp. 1-4, doi: 10.1109/SENSORS60989.2024.10784798.
NO https://conferences.ieeeauthorcenter.ieee.org/author-ethics/guidelines-and-policies/ (submitted)
NO This work was supported by the Spanish Ministerio de Ciencia, Innovacion y Universidades and by the European ERDF program funds under contract PID2021-125091OB-I00
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026