Title :
The comparison of long-term decoding performance between low and high frequency local field potentials in macaque monkeys
Author :
Yue Li ; Dong Wang ; Qiaosheng Zhang ; Yiwen Wang ; Shaomin Zhang ; Xiaoxiang Zheng
Author_Institution :
Qiushi Acad. for Adv. Studies, Zhejiang Univ., Hangzhou, China
Abstract :
The long-term stability is one of the most important issues to be considered when designing practical Brain Machine Interfaces(BMIs). Because Local Field Potentials (LFPs) could provide durable recording, they were supposed to be an alternative promising signal source. Previous studies have shown that much kinematics information could be extracted from LFPs in motor cortex, especially from the low (0.3-5 Hz) and high frequency band (200-400 Hz). However few studies had compared their long term stability. Here, we assessed the decoding performance by offline analysing LFPs recorded from motor cortex in three well-trained monkeys performing 2-D center out task. The signal recording covered nearly one year for two monkeys and two years for the other monkey. The results showed that in most sessions, high frequency LFPs showed better decoding performance than low frequency band in both discrete and continuous decoders and high frequency band was less sensitive to the number of channels with significant tuning than that of low frequency band. Therefore, all the results indicate that the decoding performance of high frequency band is able to keep higher decoding power and it is more suitable for long-term BMIs applications.
Keywords :
brain-computer interfaces; electroencephalography; feature extraction; kinematics; medical signal detection; medical signal processing; neurophysiology; brain machine interfaces; continuous decoders; discrete decoders; frequency 0.3 Hz to 5 Hz; frequency 200 Hz to 400 Hz; high frequency local field potentials; kinematic information extraction; long-term decoding performance; low frequency local field potentials; macaque monkeys; motor cortex; Accuracy; Decoding; IEEE Potentials; Kinematics; Stability analysis; Time-frequency analysis; Tuning; Local Field Potentials; decoding performance; high frequency; long-term; low frequency;
Conference_Titel :
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ICIST.2014.6920561