edfRead

A simple file reader for European Data Formatted (EDF-) files.

Description

Read European Data Format file into MATLAB
 
[hdr, record] = edfRead(fname)
Reads data from ALL RECORDS of file fname ('*.edf'). Header information is returned in structure hdr, and the signals (waveforms) are returned in structure record, with waveforms associated with the records returned as fields titled 'data' of structure record.
 
[...] = edfRead(fname, 'assignToVariables', assignToVariables)
Triggers writing of individual output variables, as defined by field 'labels', into the caller workspace.
 
FORMAT SPEC: Source: http://www.edfplus.info/specs/edf.html

• MATLAB release: MATLAB 7.12 (2011a)

[Andrey Shapkin]

Great piece of work, thanks.

function [data,header] = edfread(filename)
% Read European Data Format file into MATLAB

fid = fopen(filename,'r','ieee-le');
% PART1
hdr = char(fread(fid,256,'uchar')');

header.ver=str2num(hdr(1:8)); % 8 ascii : version of this data format (0)
header.patientID = char(hdr(9:88)); % 80 ascii : local patient identification
header.recordID = char(hdr(89:168)); % 80 ascii : local recording identification
header.startdate=char(hdr(169:176)); % 8 ascii : startdate of recording (dd.mm.yy)
header.starttime = char(hdr(177:184)); % 8 ascii : starttime of recording (hh.mm.ss)
header.length = str2num (hdr(185:192)); % 8 ascii : number of bytes in header record
    reserved = hdr(193:236); % [EDF+C ] % 44 ascii : reserved
header.records = str2num (hdr(237:244)); % 8 ascii : number of data records (-1 if unknown)
header.duration = str2num (hdr(245:252)); % 8 ascii : duration of a data record, in seconds
header.channels = str2num (hdr(253:256));% 4 ascii : number of signals (ns) in data record

%%%% PART2

header.label=cellstr(char(fread(fid,[16,header.channels],'char')')); % ns * 16 ascii : ns * label (e.g. EEG FpzCz or Body temp)
header.transducer =cellstr(char(fread(fid,[80,header.channels],'char')')); % ns * 80 ascii : ns * transducer type (e.g. AgAgCl electrode)
header.units = cellstr(char(fread(fid,[8,header.channels],'char')')); % ns * 8 ascii : ns * physical dimension (e.g. uV or degreeC)
header.physmin = str2num(char(fread(fid,[8,header.channels],'char')')); % ns * 8 ascii : ns * physical minimum (e.g. -500 or 34)
header.physmax = str2num(char(fread(fid,[8,header.channels],'char')')); % ns * 8 ascii : ns * physical maximum (e.g. 500 or 40)
header.digimin = str2num(char(fread(fid,[8,header.channels],'char')')); % ns * 8 ascii : ns * digital minimum (e.g. -2048)
header.digimax = str2num(char(fread(fid,[8,header.channels],'char')')); % ns * 8 ascii : ns * digital maximum (e.g. 2047)
header.prefilt =cellstr(char(fread(fid,[80,header.channels],'char')')); % ns * 80 ascii : ns * prefiltering (e.g. HP:0.1Hz LP:75Hz)
header.samplerate = str2num(char(fread(fid,[8,header.channels],'char')')); % ns * 8 ascii : ns * nr of samples in each data record
    reserved = char(fread(fid,[32,header.channels],'char')'); % ns * 32 ascii : ns * reserved

% DATA read

Ch_data = fread(fid,'int16');

if header.records<0, % number of data records (-1 if unknown)
R=sum(header.duration*header.samplerate);
header.records=fix(length(Ch_data)./R);
end

% reshape data
Ch_data=reshape(Ch_data, [], header.records);

 
% scale set
sf = (header.physmax - header.physmin)./(header.digimax - header.digimin);
dc = header.physmax - sf.* header.digimax;

data=cell(1, header.channels);
Rs=cumsum([1; header.duration.*header.samplerate]); % index of block data -> Rs(k):Rs(k+1)-1

for k=1:header.channels
data{k}=reshape(Ch_data(Rs(k):Rs(k+1)-1, :), [], 1);
% scale data
data{k}=data{k}.*sf(k)+dc(k);
end

% data=cell2mat(data);

[Joseph Isler]

Excellent, and timing is perfect I just needed it now!