fiff_evoked.cpp

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//=============================================================================================================
 
//=============================================================================================================
// INCLUDES
//=============================================================================================================
 
#include "fiff_evoked.h"
#include "fiff_stream.h"
#include "fiff_tag.h"
#include "fiff_dir_node.h"
 
#include <math/numerics.h>
#include <QDebug>
 
#include <stdexcept>
//=============================================================================================================
// USED NAMESPACES
//=============================================================================================================
 
using namespace FIFFLIB;
using namespace UTILSLIB;
using namespace Eigen;
 
//=============================================================================================================
// DEFINE MEMBER METHODS
//=============================================================================================================
 
FiffEvoked::FiffEvoked()
: nave(-1)
, aspect_kind(-1)
, first(-1)
, last(-1)
, baseline(qMakePair(-1.0f, -1.0f))
{
}
 
//=============================================================================================================
 
FiffEvoked::FiffEvoked(QIODevice& p_IODevice,
                       QVariant setno,
                       QPair<float, float> t_baseline,
                       bool proj,
                       fiff_int_t p_aspect_kind)
{
    if (!FiffEvoked::read(p_IODevice, *this, setno, t_baseline, proj, p_aspect_kind)) {
        baseline = t_baseline;
 
        throw std::runtime_error("Fiff evoked data not found");
    }
}
 
//=============================================================================================================
 
FiffEvoked::FiffEvoked(const FiffEvoked& p_FiffEvoked)
: info(p_FiffEvoked.info)
, nave(p_FiffEvoked.nave)
, aspect_kind(p_FiffEvoked.aspect_kind)
, first(p_FiffEvoked.first)
, last(p_FiffEvoked.last)
, comment(p_FiffEvoked.comment)
, times(p_FiffEvoked.times)
, data(p_FiffEvoked.data)
, proj(p_FiffEvoked.proj)
, baseline(p_FiffEvoked.baseline)
{
}
 
//=============================================================================================================
 
FiffEvoked::~FiffEvoked()
{
}
 
//=============================================================================================================
 
void FiffEvoked::clear()
{
    info.clear();
    nave = -1;
    aspect_kind = -1;
    first = -1;
    last = -1;
    comment = QString("");
    times = RowVectorXf();
    data = MatrixXd();
    proj = MatrixXd();
}
 
//=============================================================================================================
 
FiffEvoked FiffEvoked::pick_channels(const QStringList& include,
                                     const QStringList& exclude) const
{
    if (include.size() == 0 && exclude.size() == 0)
        return FiffEvoked(*this);
 
    RowVectorXi sel = FiffInfo::pick_channels(this->info.ch_names, include, exclude);
    if (sel.cols() == 0) {
        qWarning("Warning : No channels match the selection.\n");
        return FiffEvoked(*this);
    }
 
    FiffEvoked res(*this);
    //
    //   Modify the measurement info
    //
    res.info = FiffInfo(res.info.pick_info(sel));
    //
    //   Create the reduced data set
    //
    MatrixXd selBlock(1, 1);
 
    if (selBlock.rows() != sel.cols() || selBlock.cols() != res.data.cols())
        selBlock.resize(sel.cols(), res.data.cols());
    for (qint32 l = 0; l < sel.cols(); ++l) {
        if (sel(0, l) <= res.data.rows()) {
            selBlock.block(l, 0, 1, selBlock.cols()) = res.data.block(sel(0, l), 0, 1, selBlock.cols());
        } else {
            qWarning("FiffEvoked::pick_channels - Warning : Selected channel index out of bound.\n");
        }
    }
    res.data.resize(sel.cols(), res.data.cols());
    res.data = selBlock;
 
    return res;
}
 
//=============================================================================================================
 
bool FiffEvoked::read(QIODevice& p_IODevice,
                      FiffEvoked& p_FiffEvoked,
                      QVariant setno,
                      QPair<float, float> t_baseline,
                      bool proj,
                      fiff_int_t p_aspect_kind)
{
    p_FiffEvoked.clear();
 
    //
    //   Open the file
    //
    FiffStream::SPtr t_pStream(new FiffStream(&p_IODevice));
    QString t_sFileName = t_pStream->streamName();
 
    qInfo("Reading %s ...\n", t_sFileName.toUtf8().constData());
 
    if (!t_pStream->open())
        return false;
    //
    //   Read the measurement info
    //
    FiffInfo info;
    FiffDirNode::SPtr meas;
    if (!t_pStream->read_meas_info(t_pStream->dirtree(), info, meas))
        return false;
    info.filename = t_sFileName; //move fname storage to read_meas_info member function
    //
    //   Locate the data of interest
    //
    QList<FiffDirNode::SPtr> processed = meas->dir_tree_find(FIFFB_PROCESSED_DATA);
    if (processed.size() == 0) {
        qWarning("Could not find processed data");
        return false;
    }
    //
    QList<FiffDirNode::SPtr> evoked_node = meas->dir_tree_find(FIFFB_EVOKED);
    if (evoked_node.size() == 0) {
        qWarning("Could not find evoked data");
        return false;
    }
 
    // convert setno to an integer
    if (!setno.isValid()) {
        if (evoked_node.size() > 1) {
            QStringList comments;
            QList<fiff_int_t> aspect_kinds;
            QString t;
            if (!t_pStream->get_evoked_entries(evoked_node, comments, aspect_kinds, t))
                t = QString("None found, must use integer");
            qWarning("%lld datasets present, setno parameter must be set. Candidate setno names:\n%s", static_cast<long long>(evoked_node.size()), t.toUtf8().constData());
            return false;
        } else
            setno = 0;
    } else {
        // find string-based entry
        bool t_bIsInteger = true;
        setno.toInt(&t_bIsInteger);
        if (!t_bIsInteger) {
            if (p_aspect_kind != FIFFV_ASPECT_AVERAGE && p_aspect_kind != FIFFV_ASPECT_STD_ERR) {
                qWarning("kindStat must be \"FIFFV_ASPECT_AVERAGE\" or \"FIFFV_ASPECT_STD_ERR\"");
                return false;
            }
 
            QStringList comments;
            QList<fiff_int_t> aspect_kinds;
            QString t;
            t_pStream->get_evoked_entries(evoked_node, comments, aspect_kinds, t);
 
            bool found = false;
            for (qint32 i = 0; i < comments.size(); ++i) {
                if (comments[i].compare(setno.toString()) == 0 && p_aspect_kind == aspect_kinds[i]) {
                    setno = i;
                    found = true;
                    break;
                }
            }
            if (!found) {
                qWarning() << "setno " << setno << " (" << p_aspect_kind << ") not found, out of found datasets:\n " << t;
                return false;
            }
        }
    }
 
    if (setno.toInt() >= evoked_node.size() || setno.toInt() < 0) {
        qWarning("Data set selector out of range");
        return false;
    }
 
    FiffDirNode::SPtr my_evoked = evoked_node[setno.toInt()];
 
    //
    //   Identify the aspects
    //
    QList<FiffDirNode::SPtr> aspects = my_evoked->dir_tree_find(FIFFB_ASPECT);
 
    if (aspects.size() > 1)
        qInfo("\tMultiple (%lld) aspects found. Taking first one.\n", static_cast<long long>(aspects.size()));
 
    FiffDirNode::SPtr my_aspect = aspects[0];
 
    //
    //   Now find the data in the evoked block
    //
    fiff_int_t nchan = 0;
    float sfreq = -1.0f;
    QList<FiffChInfo> chs;
    fiff_int_t kind, pos, first = 0, last = 0;
    FiffTag::UPtr t_pTag;
    QString comment("");
    qint32 k;
    for (k = 0; k < my_evoked->nent(); ++k) {
        kind = my_evoked->dir[k]->kind;
        pos = my_evoked->dir[k]->pos;
        switch (kind) {
            case FIFF_COMMENT:
                t_pStream->read_tag(t_pTag, pos);
                comment = t_pTag->toString();
                break;
            case FIFF_FIRST_SAMPLE:
                t_pStream->read_tag(t_pTag, pos);
                first = *t_pTag->toInt();
                break;
            case FIFF_LAST_SAMPLE:
                t_pStream->read_tag(t_pTag, pos);
                last = *t_pTag->toInt();
                break;
            case FIFF_NCHAN:
                t_pStream->read_tag(t_pTag, pos);
                nchan = *t_pTag->toInt();
                break;
            case FIFF_SFREQ:
                t_pStream->read_tag(t_pTag, pos);
                sfreq = *t_pTag->toFloat();
                break;
            case FIFF_CH_INFO:
                t_pStream->read_tag(t_pTag, pos);
                chs.append(t_pTag->toChInfo());
                break;
        }
    }
    if (comment.isEmpty())
        comment = QString("No comment");
 
    //
    //   Local channel information?
    //
    if (nchan > 0) {
        if (chs.size() == 0) {
            qWarning("Local channel information was not found when it was expected.");
            return false;
        }
        if (chs.size() != nchan) {
            qWarning("Number of channels and number of channel definitions are different.");
            return false;
        }
        info.chs = chs;
        info.nchan = nchan;
        qInfo("\tFound channel information in evoked data. nchan = %d\n", nchan);
        if (sfreq > 0.0f)
            info.sfreq = sfreq;
    }
    qint32 nsamp = last - first + 1;
    qInfo("\tFound the data of interest:\n");
    qInfo("\t\tt = %10.2f ... %10.2f ms (%s)\n", 1000 * static_cast<float>(first) / info.sfreq, 1000 * static_cast<float>(last) / info.sfreq, comment.toUtf8().constData());
    if (info.comps.size() > 0)
        qInfo("\t\t%lld CTF compensation matrices available\n", static_cast<long long>(info.comps.size()));
 
    //
    // Read the data in the aspect block
    //
    fiff_int_t aspect_kind = -1;
    fiff_int_t nave = -1;
    QList<FiffTag> epoch;
    for (k = 0; k < my_aspect->nent(); ++k) {
        kind = my_aspect->dir[k]->kind;
        pos = my_aspect->dir[k]->pos;
 
        switch (kind) {
            case FIFF_COMMENT:
                t_pStream->read_tag(t_pTag, pos);
                comment = t_pTag->toString();
                break;
            case FIFF_ASPECT_KIND:
                t_pStream->read_tag(t_pTag, pos);
                aspect_kind = *t_pTag->toInt();
                break;
            case FIFF_NAVE:
                t_pStream->read_tag(t_pTag, pos);
                nave = *t_pTag->toInt();
                break;
            case FIFF_EPOCH:
                t_pStream->read_tag(t_pTag, pos);
                epoch.append(FiffTag(*t_pTag));
                break;
        }
    }
    if (nave == -1)
        nave = 1;
    qInfo("\t\tnave = %d - aspect type = %d\n", nave, aspect_kind);
 
    qint32 nepoch = epoch.size();
    if (nepoch != 1 && nepoch != info.nchan) {
        qWarning("Number of epoch tags is unreasonable (nepoch = %d nchan = %d)", nepoch, info.nchan);
        return false;
    }
    MatrixXd all_data;
    if (nepoch == 1) {
        //
        //   Only one epoch
        //
        all_data = epoch[0].toFloatMatrix().cast<double>();
        all_data.transposeInPlace();
        //
        //   May need a transpose if the number of channels is one
        //
        if (all_data.cols() == 1 && info.nchan == 1)
            all_data.transposeInPlace();
    } else {
        //
        //   Put the old style epochs together: one channel per tag
        //
        all_data.resize(nepoch, epoch[0].size() / static_cast<int>(sizeof(float)));
        for (k = 0; k < nepoch; ++k) {
            const int n = epoch[k].size() / static_cast<int>(sizeof(float));
            if (n != all_data.cols()) {
                qWarning("Old style epochs have different lengths (%d and %d)", n, (int)all_data.cols());
                return false;
            }
            all_data.row(k) = Map<const RowVectorXf>(epoch[k].toFloat(), n).cast<double>();
        }
    }
    if (all_data.cols() != nsamp) {
        qWarning("Incorrect number of samples (%d instead of %d)", (int)all_data.cols(), nsamp);
        return false;
    }
 
    //
    //   Calibrate
    //
    qInfo("\n\tPreprocessing...\n");
    qInfo("\t%d channels remain after picking\n", info.nchan);
 
    using T = Eigen::Triplet<double>;
    std::vector<T> tripletList;
    tripletList.reserve(info.nchan);
    for (k = 0; k < info.nchan; ++k)
        tripletList.push_back(T(k, k, info.chs[k].cal));
    SparseMatrix<double> cals(info.nchan, info.nchan);
    cals.setFromTriplets(tripletList.begin(), tripletList.end());
 
    all_data = cals * all_data;
 
    RowVectorXf times = RowVectorXf(last - first + 1);
    for (k = 0; k < times.size(); ++k)
        times[k] = static_cast<float>(first + k) / info.sfreq;
 
    //
    // Set up projection
    //
    if (info.projs.size() == 0 || !proj) {
        qInfo("\tNo projector specified for these data.\n");
        p_FiffEvoked.proj = MatrixXd();
    } else {
        //   Create the projector
        MatrixXd projection;
        qint32 nproj = info.make_projector(projection);
        if (nproj == 0) {
            qWarning("\tThe projection vectors do not apply to these channels\n");
            p_FiffEvoked.proj = MatrixXd();
        } else {
            qInfo("\tCreated an SSP operator (subspace dimension = %d)\n", nproj);
            p_FiffEvoked.proj = projection;
        }
 
        //   The projection items have been activated
        FiffProj::activate_projs(info.projs);
    }
 
    if (p_FiffEvoked.proj.rows() > 0) {
        all_data = p_FiffEvoked.proj * all_data;
        qInfo("\tSSP projectors applied to the evoked data\n");
    }
 
    // Put it all together
    p_FiffEvoked.info = info;
    p_FiffEvoked.nave = nave;
    p_FiffEvoked.aspect_kind = aspect_kind;
    p_FiffEvoked.first = first;
    p_FiffEvoked.last = last;
    p_FiffEvoked.comment = comment;
    p_FiffEvoked.times = times;
    p_FiffEvoked.data = all_data;
 
    // Run baseline correction only if explicitly requested
    // A baseline of (-1, -1) or (first == second) means "no baseline correction"
    // This matches mne-python (baseline=None) and SVN-MNE (no --bmin/--bmax) behavior
    if (t_baseline.first != t_baseline.second) {
        p_FiffEvoked.applyBaselineCorrection(t_baseline);
    } else {
        p_FiffEvoked.baseline = t_baseline;
        qInfo("\tNo baseline correction applied\n");
    }
 
    return true;
}
 
//=============================================================================================================
 
void FiffEvoked::setInfo(const FiffInfo& p_info,
                         bool applyProj)
{
    info = p_info;
    //
    // Set up projection
    //
    if (info.projs.size() == 0 || !applyProj) {
        qInfo("\tNo projector specified for these data.\n");
        this->proj = MatrixXd();
    } else {
        //   Create the projector
        MatrixXd projection;
        qint32 nproj = info.make_projector(projection);
        if (nproj == 0) {
            qWarning("\tThe projection vectors do not apply to these channels\n");
            this->proj = MatrixXd();
        } else {
            qInfo("\tCreated an SSP operator (subspace dimension = %d)\n", nproj);
            this->proj = projection;
        }
 
        //   The projection items have been activated
        FiffProj::activate_projs(info.projs);
    }
}
 
//=============================================================================================================
 
FiffEvoked& FiffEvoked::operator+=(const MatrixXd& newData)
{
    //Init matrix if necessary
    if (nave == -1 || nave == 0) {
        data = MatrixXd::Zero(newData.rows(), newData.cols());
    }
 
    if (data.cols() == newData.cols() && data.rows() == newData.rows()) {
        //Revert old averaging
        data = data * nave;
 
        //Do new averaging
        data += newData;
        if (nave <= 0) {
            nave = 1;
        } else {
            nave++;
        }
 
        data /= nave;
    }
 
    return *this;
}
 
//=============================================================================================================
 
void FiffEvoked::applyBaselineCorrection(QPair<float, float>& p_baseline)
{
    // Skip baseline correction if sentinel value (-1, -1) or equal bounds are passed
    if (p_baseline.first == p_baseline.second) {
        qInfo("\tNo baseline correction applied\n");
        return;
    }
 
    // Run baseline correction
    qInfo("Applying baseline correction ... (mode: mean)\n");
    this->data = Numerics::rescale(this->data, this->times, p_baseline, QString("mean"));
    this->baseline = p_baseline;
}