Python save_as_matlab Examples

Example #1

def main():
    try:
        duration = int(sys.argv[1])
    except:
        print "Usage: %s <duration> [ch1,ch2,..,chN]" % sys.argv[0]
        return 1

    channels = None
    try:
        channels = sys.argv[2].split(",")
    except:
        pass

    # Setup headset
    headset = epoc.EPOC(enable_gyro=False)
    if channels:
        headset.set_channel_mask(channels)

    # Acquire
    idx, data = headset.acquire_data_fast(duration)

    print "Battery: %d %%" % headset.battery
    print "Contact qualities"
    print headset.quality

    utils.save_as_matlab(data, headset.channel_mask)

    try:
        headset.disconnect()
    except e:
        print e

Example #2

File: record-data.py Project: NeurotechBerkeley/SSVEP

def main():
    try:
        duration = int(sys.argv[1])
    except:
        print "Usage: %s <duration> [ch1,ch2,..,chN]" % sys.argv[0]
        return 1

    channels = None
    try:
        channels = sys.argv[2].split(",")
    except:
        pass

    # Setup headset
    headset = epoc.EPOC(enable_gyro=False)
    if channels:
        headset.set_channel_mask(channels)

    # Acquire
    idx, data = headset.acquire_data_fast(duration)

    print "Battery: %d %%" % headset.battery
    print "Contact qualities"
    print headset.quality

    utils.save_as_matlab(data, headset.channel_mask)

    try:
        headset.disconnect()
    except e:
        print e

Example #3

File: pho-multi-record.py Project: Z3Pineda/python-emotiv

def headsetRead(headset):
    idx, data = headset.acquire_data_fast(9)
    print "Battery: %d %%" % headset.battery
    print "Contact qualities"
    print headset.quality
    metadata = {"quality": headset.quality, "battery": headset.battery}
    utils.save_as_matlab(data,
                         headset.channel_mask,
                         folder="../eeg_data",
                         metadata=metadata)

Example #4

File: bbb-bci-dspd.py Project: NeurotechBerkeley/SSVEP

    data = np.empty((duration * 128, n_channels), dtype=np.uint16)

    try:
        for i in range(duration):
            # Blocks
            raw_bytes = client.recv(RECVSIZE)

            # We should receive 1 second of EEG data 128x15 matrix
            d = np.fromstring(raw_bytes, dtype=np.uint16).reshape((128, n_channels))

            # This is for accumulating
            data[i * 128:(i+1) * 128, :] = d

            # Process data
            #process_eeg(data[:(i+1)*128, :])
            process_eeg(d)

    except Exception, e:
        print e
        pass
    finally:
        # Pass the result back to acquisition daemon
        # TODO: client.send(...)
        server.close()
        os.unlink(SOCKET)
        utils.save_as_matlab(data, channel_mask, metadata=metadata)
        print "Total packet lost: %d/%d" % (len(utils.check_packet_drops(data[:, CTR])), data[:, CTR].size)

if __name__ == "__main__":
    sys.exit(main())

Example #5

File: bbb-bci-dspd.py Project: thomasmartensgithub/Emotiv_Python

        for i in range(duration):
            # Blocks
            raw_bytes = client.recv(RECVSIZE)

            # We should receive 1 second of EEG data 128x15 matrix
            d = np.fromstring(raw_bytes, dtype=np.uint16).reshape(
                (128, n_channels))

            # This is for accumulating
            data[i * 128:(i + 1) * 128, :] = d

            # Process data
            #process_eeg(data[:(i+1)*128, :])
            process_eeg(d)

    except Exception, e:
        print e
        pass
    finally:
        # Pass the result back to acquisition daemon
        # TODO: client.send(...)
        server.close()
        os.unlink(SOCKET)
        utils.save_as_matlab(data, channel_mask, metadata=metadata)
        print "Total packet lost: %d/%d" % (len(
            utils.check_packet_drops(data[:, CTR])), data[:, CTR].size)


if __name__ == "__main__":
    sys.exit(main())