[Eeglablist] Number of samples

Robertson, Caroline carobertson at csu.edu.au
Mon May 26 22:17:44 PDT 2014

Hi all,

I am currently examining the EEG response to certain exercise bouts. We only have a 256Hz system and are currently using 30sec data sample window. As you discuss below this may not improve the information because of the variability of the signal... on top of which exercise clearly adds to the level of noise... I have only read in one paper that the minimal suggested sample window during exercise is 20secs of data but does anyone have any other suggestions?

Many thanks

From: eeglablist-bounces at sccn.ucsd.edu [mailto:eeglablist-bounces at sccn.ucsd.edu] On Behalf Of Pål Gunnar Larsson
Sent: Thursday, 22 May 2014 4:33 PM
To: 'Samaneh Valipour'; mmiyakoshi
Cc: eeglablist at sccn.ucsd.edu
Subject: Re: [Eeglablist] Number of samples

Remember that EEG is a very dynamic signal. Hence, longer samples is not expected to give better information as the signal changes within the sample window. However, increasing the sampling rate, increases the information. According to Nyquist you will be able to reconstruct a signal if you sample faster than the double of the highest frequency in the signal. However, that is when the signal is stable (EEG is not) and the sample is infinite long. Practically you will often end up sampling 5-10 time the highest frequency in biological signals.

Pål G. Larsson M.D., PhD.
Head of Clinical Neurophysiology
Department of Neurosurgery
Division of Surgery and Clinical Neuroscience

Oslo University Hospital
Po.box 4950 Nydalen
0424 Oslo
Tel:  (+47) 23074407
Mobile: (+47) 93429791
E-mail: pall at ous-hf.no<mailto:pall at ous-hf.no>
not sensitive

Dr. philos. Pål G. Larsson
Seksjonsleder Klinisk nevrofysiologi
Nevrokirurgisk avdeling
Oslo Universitetssykehus
Postboks 4950 Nydalen
0424 Oslo

Tlf.:  23074407
Mobil: 93429791

E-mail: pall at ous-hf.no<mailto:pal.gunnar.larsson at ous-hf.no>

Denne meldingen innholder ikke sensitiv informasjon som bryter med OUS sine regler for taushetsplikt

Fra: eeglablist-bounces at sccn.ucsd.edu<mailto:eeglablist-bounces at sccn.ucsd.edu> [mailto:eeglablist-bounces at sccn.ucsd.edu] På vegne av Samaneh Valipour
Sendt: 21. mai 2014 06:58
Til: mmiyakoshi
Kopi: eeglablist at sccn.ucsd.edu<mailto:eeglablist at sccn.ucsd.edu>
Emne: Re: [Eeglablist] Number of samples

Thanks a lot Dear Makoto.

On Tue, May 20, 2014 at 10:03 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu<mailto:mmiyakoshi at ucsd.edu>> wrote:
Dear Samaneh,

Samples you mean sampling points? Yes of course. The more sampling points you have, the better (i.e. smoother and more reliable) the results are.


2014-05-19 21:31 GMT-07:00 Samaneh Valipour <samanehvalipour61 at gmail.com<mailto:samanehvalipour61 at gmail.com>>:
Dear EEGLAB users,
I would like to be sure,whether the results of analysis of EEG using  FFT or DWT depend on the number of samples?If is so, what is best choice for number of samples?
With very kind regards,

Samaneh .Valipour

PhD research student: DOES_UOP_INDIA
*Post address:  *University of Pune,
                           Pune Ganeshkhind,
                          Pune-411007 ,
                           Maharashtra, (India) *
Phone nos :*+91-20-25699841<tel:%2B91-20-25699841>,+91-20-25691256<tel:%2B91-20-25691256>,+91-20-25601419<tel:%2B91-20-25601419>

Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu<mailto:eeglablist-unsubscribe at sccn.ucsd.edu>
For digest mode, send an email with the subject "set digest mime" to eeglablist-request at sccn.ucsd.edu<mailto:eeglablist-request at sccn.ucsd.edu>

Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego

With very kind regards,

Samaneh .Valipour

PhD research student: DOES_UOP_INDIA
*Post address:  *University of Pune,
                           Pune Ganeshkhind,
                          Pune-411007 ,
                           Maharashtra, (India) *
Phone nos :*+91-20-25699841,+91-20-25691256,+91-20-25601419



This email (and any attachment) is confidential and is intended for the use of the addressee(s) only. If you are not the intended recipient of this email, you must not copy, distribute, take any action in reliance on it or disclose it to anyone. Any confidentiality is not waived or lost by reason of mistaken delivery. Email should be checked for viruses and defects before opening. Charles Sturt University (CSU) does not accept liability for viruses or any consequence which arise as a result of this email transmission. Email communications with CSU may be subject to automated email filtering, which could result in the delay or deletion of a legitimate email before it is read at CSU. The views expressed in this email are not necessarily those of CSU.

Charles Sturt University in Australia<http://www.csu.edu.au> The Grange Chancellery, Panorama Avenue, Bathurst NSW Australia 2795 (ABN: 83 878 708 551; CRICOS Provider Number: 00005F (National)). TEQSA Provider Number: PV12018
Charles Sturt University in Ontario<http://www.charlessturt.ca/> 860 Harrington Court, Burlington Ontario Canada L7N 3N4 Registration: www.peqab.ca<http://www.peqab.ca>

Consider the environment before printing this email.

Disclaimer added by CodeTwo Exchange Rules 2007

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20140527/28130012/attachment-0001.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: csu-logo6172.bmp
Type: image/bmp
Size: 37976 bytes
Desc: csu-logo6172.bmp
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20140527/28130012/attachment-0001.bmp>

More information about the eeglablist mailing list