We have also made available our 26-dim linear frequency cepstral
coefficient (LFCC) feature vectors. These features are described in this
paper:
Harati, A., Golmohammadi, M., Lopez, S., Obeid, I.
and Picone, J. (2015). Improved EEG Event
Classification Using Differential Energy. Proceedings
of the IEEE Signal Processing in Medicine and Biology
Symposium (pp. 1-4). Philadelphia, Pennsylvania, USA.
https://www.isip.piconepress.com/publications/conference_proceedings/2015/ieee_spmb/denergy/paper_v04.docx
A description of how the features are stored is attached below.
To acquire these files, just re-run rsync:
rsync -auxvL
nedc_t...@www.isip.piconepress.com:~/data/tuh_eeg_seizure/v1.5.1 .
You will see a new directory named "feats":
nedc_001_[1]: p
/home/nedc_tuh_eeg/home/nedc_tuh_eeg/data/tuh_eeg_seizure/v1.5.1
nedc_001_[1]: d
total 79
drwxrwxr-x 5 picone isip 7 Apr 5 23:14 ./
drwxrwxr-x 6 root 1001 6 Mar 29 03:01 ../
-rw-r--r-- 1 picone isip 9678 Mar 31 15:47 _AAREADME.txt
drwxrwxr-x 2 picone isip 10 Apr 5 18:44 _DOCS/
-r--r--r-- 1 picone isip 1868 Mar 29 18:23 _INSTRUCTIONS.txt
drwxrwxr-x 4 picone isip 4 Apr 5 20:23 edf/
drwxrwxr-x 4 picone isip 4 Apr 5 23:14 feats/
that contains the features stored in the same directory structure as the
edf files.
As always, let us know if you have questions.
-Joe
==========
The features are stored in binary data files which contain this information:
// (1) number of rows (number of channels) (4-byte int)
// (2) number of cols (number of frames) (4-byte int)
// (3) channel #0, frame #0:
// no. of features (4-byte int)
// features (4-byte float)
// channel #0, frame #1:
// no. of features (4-byte int)
// features (4-byte float)
// channel #0, last frame:
// no. of features (4-byte int)
// features (4-byte float)
...
// channel #1, frame #0:
// no. of features (4-byte int)
// features (4-byte float)
...
Running "od -i" and "od -f" on a file reveals:
nedc_000_[1]: od -i -N 12
/data/isip/data/tuh_eeg_seizure/v1.5.1/feats/dev/01_tcp_ar/002/00000258/s003_2003_07_22/00000258_s003_t000.raw
0000000 22 2340 26
^^^ ^^^^ ^^
no. channels no. frames no. feats
nedc_000_[1]: od -f -j12 -N104
/data/isip/data/tuh_eeg_seizure/v1.5.1/feats/dev/01_tcp_ar/002/00000258/s003_2003_07_22/00000258_s003_t000.raw
0000014 13.401839 2.1727476 0.32462516 0.69885826
0000034 -0.3026817 0.16332078 -0.088797666 0.06613201
0000054 2.2721477 -0.27506906 -0.052756462 0.12254754
0000074 -0.07974434 0.048647482 -0.01573051 0.0068437094
0000114 -0.0077251447 0.1230895 -0.03802236 -0.0358741
0000134 -0.018982377 0.014988172 -0.00493749 -0.0035373378
These are the 26 elements of the first feature vector for the first channel.
nedc_000_[1]: od -i -j116 -N4
/data/isip/data/tuh_eeg_seizure/v1.5.1/feats/dev/01_tcp_ar/002/00000258/s003_2003_07_22/00000258_s003_t000.raw
0000164 26
0000170
nedc_000_[1]: od -f -j120 -N4
/data/isip/data/tuh_eeg_seizure/v1.5.1/feats/dev/01_tcp_ar/002/00000258/s003_2003_07_22/00000258_s003_t000.raw
0000170 13.078412
0000174
nedc_000_[1]: od -f -j120 -N104
/data/isip/data/tuh_eeg_seizure/v1.5.1/feats/dev/01_tcp_ar/002/00000258/s003_2003_07_22/00000258_s003_t000.raw
0000170 13.078412 1.9224968 2.1705375 0.31227323
0000210 -0.45942664 0.20104696 0.10449887 -0.11398636
0000230 2.5109947 -0.35111377 -0.124504656 0.08458278
0000250 -0.049767997 0.038772505 -0.022805186 0.0020929435
0000270 -0.002347174 0.11078123 -0.073626794 -0.03549913
0000310 -0.054850843 0.026184069 -0.013303388 0.013030112
0000330 -0.00019972246 0.0035286713
This is the dimension and elements of the second feature vector for
channel no. 0. Every feature vector written is preceded by the dimension
of the vector.
============
Subject: Announcement: TUH EEG Seizure v1.5.1
Date: Sun, 5 Apr 2020 21:52:54 -0400
From: Joseph Picone <
joseph...@gmail.com>
To: nedc_tuh_eeg <
nedc_t...@googlegroups.com>
CC:
nedc...@googlegroups.com