TY - GEN
T1 - Idle Tone Detection in Biomedical Signals Using Time-Frequency Techniques
AU - Cardoso, Filipa E.
AU - Batista, Arnaldo
AU - Vassilenko, Valentina
AU - Serrano, Andreia
AU - Ortigueira, Manuel
N1 - info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150312%2F2019/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
PY - 2020
Y1 - 2020
N2 - Sigma Delta based biomedical acquisition systems are popular amongst the possible hardware architectures developed for this purpose. It allows for the creation of high-resolution low power and cost-effective universal systems, where oversampling is used with the advantage of the associated simplified anti-alias filter design. However, spurious idle tone generation is commonly present, whose location in frequency and amplitude are not predictable. Despite their amplitude being typically low, in some applications it may tamper with the signal processing parameters. In the ECG, EMG and EEG processing, idle tones may degrade frequency energy content. Given the non-stationary nature of biomedical signals, time-frequency analysis is the adequate tool for idle tone detection due to its dual representation which includes time localization. The spectrogram along with other quadratic time-frequency representations (QTFR) are applied for idle tone analysis where QTFR’s show to have appealing frequency resolution capabilities under low cross terms amplitude conditions.
AB - Sigma Delta based biomedical acquisition systems are popular amongst the possible hardware architectures developed for this purpose. It allows for the creation of high-resolution low power and cost-effective universal systems, where oversampling is used with the advantage of the associated simplified anti-alias filter design. However, spurious idle tone generation is commonly present, whose location in frequency and amplitude are not predictable. Despite their amplitude being typically low, in some applications it may tamper with the signal processing parameters. In the ECG, EMG and EEG processing, idle tones may degrade frequency energy content. Given the non-stationary nature of biomedical signals, time-frequency analysis is the adequate tool for idle tone detection due to its dual representation which includes time localization. The spectrogram along with other quadratic time-frequency representations (QTFR) are applied for idle tone analysis where QTFR’s show to have appealing frequency resolution capabilities under low cross terms amplitude conditions.
KW - Idle tones
KW - Time-frequency analysis
KW - Wavelets
UR - http://www.scopus.com/inward/record.url?scp=85084840135&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45124-0_44
DO - 10.1007/978-3-030-45124-0_44
M3 - Conference contribution
AN - SCOPUS:85084840135
SN - 978-3-030-45123-3
T3 - IFIP Advances in Information and Communication Technology
SP - 445
EP - 453
BT - Technological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Farhadi, Nastaran
A2 - Lopes, Fábio
A2 - Pereira, Helena
PB - Springer
CY - Cham
T2 - 11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020
Y2 - 1 July 2020 through 3 July 2020
ER -