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Activity #1164

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Daily Report_Rashmi S

Added by Sudalaimani C almost 3 years ago. Updated over 2 years ago.

Status:
New
Priority:
Normal
Assignee:
Rashmi Sinha
Start date:
09/22/2023
Due date:
09/22/2023 (over 2 years late)
% Done:

0%

Estimated time:
Planned Due Date:
Actions #1

Updated by Rashmi Sinha almost 3 years ago

  • Due date set to 09/22/2023
  • % Done changed from 0 to 100

Demo of Image generation UI development and updated in svn for adding scalp map generation.
Attended 2nd PRSG planning review meeting.
Modify the image generation code for structured data saving.
Test eye blink data with Machine learning for V5 catboost and random forest and updated excel sheet.

Actions #2

Updated by Rashmi Sinha almost 3 years ago

  1. Daily task 25/09/2023
    1. Modification of image generation Ui for structured folder as per the suggestion.
    2. Prepared final protocol ppt.
    3. Discussion on the scalogram image generation.
  2. Daily task 26/09/2023
    1. Meeting regarding image generation and input to deep learning.
    2. Edited the code for cropping spectrogram images (eye blink, ssvep).
    3. Created folder structure for eye blink in ppt.
    4. Explored scalogram images
Actions #3

Updated by Rashmi Sinha almost 3 years ago

1. Renaming of eye blink data and created folder for V7 (5 sessions) as per the inner speech folder structure.
2. Tested with the zip file data upload in BCI repository management system.
3. Data collection for Inner speech 2 sessions, Va with 256Hz sampling rate.
4. Explore image resizing for saved images.

Actions #4

Updated by Rashmi Sinha almost 3 years ago

Daily report date 28/09/2023
Holiday
Daily report date 29/09/2023
1. Tested eye blink data with machine learning for V5 SVM rbf and svm linear classifier
2. Integration of channel selection UI in image generation UI tool. Added two facilities a) all channels b) select channel
3. combo box creation for output image size in imageGeneration UI tool for 3 resize option 256*256, 512*512 and 1024*1024.
Daily report date 30/09/2023
Holiday
Daily report date 01/10/2023
Holiday
Daily report date 02/10/2023
Holiday
Daily report date 03/10/2023
1.Hardcoded image resize for 256*256 using PIL package in python is completed.
2.Tested V4 eye blink data with machine learning classifier with channel wise feature.
3. Image resize integration using combobox selection- 50% completed

Actions #5

Updated by Rashmi Sinha almost 3 years ago

Daily report date 04/10/203
1. Change and modified the all image type checkbox placement from image generation UI tool.
2. Added new channelwise spectrogram combo box in image generation UI tool.
3. Integration of output image resize with 3 options (256*256,512*512 and 1024*1024) in image generation UI tool.
4. Explore channelwise epochs to spectrogram images.
Daily report date 05/10/203
1. Generated monochrome images for 5 sessions (V7) and uploaded in hstgshare.
2. hardcoded epochs to channelwise spectrogram images.
3. Added new resize option as "actual size" in image generation UI tool.
4. Rename for V7 eye blink data as per inner speech for S3 and S4 sessions

Actions #6

Updated by Rashmi Sinha almost 3 years ago

Daily Report 06/10/2023
1. Integration of channelwise spectrogram images with image generation Tool with all resizing functionalities.
2. Explore scalogram function in python.
3. Added and modified scalogram checkbox in image generation UI tool.
Daily Report 09/10/2023
1. Check the scalp map generation and sent report.
2. Hardcoded scalogram images for multichannel data completed.
3. integration of scalogram images with image generation tool is 50% completed.
4. Eye Blink data test with machine learning for feature frame for V12 (error occurred).

Actions #7

Updated by Rashmi Sinha almost 3 years ago

  • % Done changed from 100 to 0

Daily Report 10/10/2023----------
1. Integration of channel wise scalogram images with image generation UI tool completed.
2. Integration of multichannel scalogram images with image generation UI tool 40% completed.
3. Tested eye blink data for V7 machine learning catboost classifier.
4.Generated monochrome images and given for testing to deep learning.

Daily Report 11/10/2023----------
1. Epoch generation for eye blink V1 session 1 data for 5 events.
2. Integration of multichannel scalogram images with image generation UI tool completed.
3. Bug found in resizing of images in multichannel scalogram image generation.

Daily Report 12/10/2023----------
1. Implemented 5 new Eye blink protocols with 2 sec relaxation and changed in audio message.
2. Modified image Generation UI tool with font size of 12 and modified the placement of buttons as per the suggestion.
3. Recorded new eye blink protocol in mobile.

Daily Report 13/10/2023----------
1. Solved the issue of image resizing in image gen ui tool.
2. Tested eye blink data for V7 random forest with 3 sessions without preprocessing.
3. Attended meeting for the preparation of 2nd PRSG.

Actions #8

Updated by Rashmi Sinha almost 3 years ago

Daily Report 16/10/2023----------
1. Completed test report for eye blink data V4 and V5 forest and catboost classifier and updated the sheet.
2. Started the testing with DL for trial.
3. Attended meeting on deep learning.

Daily Report 17/10/2023----------
1. Found issue in memory utilisation for bulk image generation.
2. Tested DL CNN model for scalogram and multichannel scalogram for eye blink for V5 with 3 sessions.
3. Tested ML based eye blink for V7, V12, V13 catboost and random forest.

Actions #9

Updated by Rashmi Sinha over 2 years ago

Report from 30/10/2023 to 2/11/2023-------------
On tour for attending 2nd PRSG at delhi
on leave due to illness
Report from 3/11/2023 to 08/11/2023-------------
on leave due to illness

Daily Report 9/11/2013----------------
1. Discussion and preparation of Eye blink demo to GH
2. Gone through eye blink and image generation paper shared by PL.

Daily Report 10/11/2023--------------
1.Model creation for V4 with diff4rent time domain and 4 frequency domain features.
2. Found bug in epoch and asked to regenerate it.

Daily Report 13/11/2023------------
1. Tried to record Eye blink data (Rashmi -V7) from openBCI but some issue found in hardware settings.
2. Explore EEG and eye blink links shared by PL.
3. Discussion of paper and github code of eye blink with PL.

Daily Report 14/11/2023------------
1. Gone through openBCI (FFT based) for inner speech youtube link shared by PL.
2. Discussion on FFT based approach with PL.
3. Discussion and planning on threshold based method for eye blink detection system.
4. Participated and completed 5 sessions eye blink data recording from openBCI.

Daily Report 15/11/2023------------
1. Participated and completed Va (21 events) inner speech data.
2. Discussion on reading text file for threshold based method.

Actions #10

Updated by Rashmi Sinha over 2 years ago

Daily Report 16/11/2023------------
1. Text file reading in threshold based method.
2. Gone through Eye blink paper.
3. Discussion with BMI team.

Daily Report 17/11/2023------------
1. Recorded inner speech Va (7 events) and Vp(Eyes closed) all events data.
2. Attended review meeting.
3. Uploaded eye blink V7 data.

Daily Report 20/11/2023 to 24/11/2023 ------------
On leave (home visit)

Daily Report 28/11/2023------------
1. Participated in discussion and attended in review meeting.
2. Read 2 papers on Eye blink (threshold based method signal processing)
3. Checked the openBCI text file for blink detection.

Daily Report 29/11/2023------------

1. Prepared doc for women participation template.
2. Applied z-score normalisation in raw signal and updated the code.
3. Discussion on eye blink signal processing approach with PL.
4. Started exploring different way with threshold based method for eye blink detection.

Actions #11

Updated by Rashmi Sinha over 2 years ago

Daily Report 30/11/2023------------
1. Discussion with PL on eye blink detection algorithm development using features like energy, skewness, standard deviation, peak find.
2. Started development of epoch loading file in text format.
3. Explored eye blink paper for smoothening the signal.

Daily Report 01/11/2023------------
1. Implemented normalization and detrending of the raw signal.
2. Explored findpeak function parameters.
3. Gone through blink algorithm code (hardcoded parameters need to understand)

Actions #12

Updated by Rashmi Sinha over 2 years ago

Daily Report 01/11/2023------------
1. Implementation of findpeak function in eye blink detection and plotted the smoothed signal.
2. Discuss with PL regarding normalization, detrend, gaussian filter, prominence.
3. Implementation of threshold and checked epochs with height = threshold.

Actions #13

Updated by Rashmi Sinha over 2 years ago

Daily Report 5/12/2023------------
1. Reconnected the openbci hardware from ssvep to eye blink with cyton board.
2. Tried to eye blink data for V13 but not achieved proper signal.
3. calculated peak to peak distance in peak find function.
4. Found issue with 1, 2,3 blinks file when height=threshold. Cross checked with different epoch files.

Actions #14

Updated by Rashmi Sinha over 2 years ago

Daily Report 06/12/2023------------
1. data recording for eye blink from openBCI
2. Modified findpeak function by testing different epochs file.

Daily Report 07/12/2023------------
1. Calculated peak to peak distance by using peak index value.
2. Modified the threshold calculation.
3. Discussion on baseline and detrending.

Actions #15

Updated by Rashmi Sinha over 2 years ago

Daily Report 08/12/2023------------
1. Eye Blink data recording for 5 sessions V13 from openBCI.
2. Uploaded the raw data.

Daily Report 11/12/2023------------
1. PPT preparation on BCI based Assistive technology (on going).
2. Discussed eye blink threshold method about overlapping window with PL.

Daily Report 12/12/2023------------
1. PPT preparation on BCI based Assistive technology and send for verification.

Actions #16

Updated by Rashmi Sinha over 2 years ago

Daily Report 13/12/2023------------
1. PPT preparation on BCI based Assistive technology with neurofeedback and send for verification.
2. Budget preparation and verification for Hybrid Multimodal Neuro-Robotics Assistive Wheel Chair control system.

Daily Report 14/12/2023------------
1.Added virtual reality virtual reality and virtual environment in ppt.
2.Found bug in openbci epochs with 4 channels data.

Actions #17

Updated by Rashmi Sinha over 2 years ago

Daily Report 17/12/2023------------
1. Implementation of all channels peak found.
2. Budget cross check for hybrid modal neuro-robotics proposal.

Daily Report 18/12/2023------------
1. BEL document conversion to hindi.
2.Discussion with PL, Dhanya and Reshma for peak find integration in mime application.
3. Checked the CSPARK call for proposal requirement and gone through cardioversion proposal.

Actions #18

Updated by Rashmi Sinha over 2 years ago

Daily Report 19/12/2023------------
1. Discussion on normalization, baseline correction, gaussian filter and detrending with PL, deepu.
2. Review of peak find and discussion on integration with mime application
3. Implemented min_max normalization along z_score normalization.

Actions #19

Updated by Rashmi Sinha over 2 years ago

Daily Report 20/12/2023------------
1. Integration of gaussian filter, normalization, detrending, baseline correction with mime application.

Daily Report 21/12/2023------------
1.Integration of peak find with ML in mime appln.
2. uploaded eye blink epochs of v7.
3. Bug found in channelwise peaks in text file updation.

Actions #20

Updated by Rashmi Sinha over 2 years ago

Daily Report 22/12/2023------------
1. Eye blink data tested using peak find method.
2. verified hindi in BEL document.
3. Tried to resolve bug in machine learning channel blinks completed 40 %.

Daily Report 22/12/2023------------
1. Resolved eye blink peak finder with no blinks as 0 and appended properly with channels.
2. Developed eye blink detection UI separately with browse directory completed 70%.
3. Tested recording of eye blink data with openBCI.

Actions #21

Updated by Rashmi Sinha over 2 years ago

Daily Report 25/12/2023------------
Christmas holiday

Daily Report 26/12/2023------------
1. Developed eye blink detection UI separately with browse directory completed 100%.
2. BEL document correction (in hindi)
3. Eye blink data recording with openBCI (device testing)

Daily Report 27/12/2023------------
1. Started implementing graphs code for eye blink detection.
2. Discussion the issue of channel number in ML prediction file with dhanya.
3. Integrated the browse directory with eye blink detection in mime appln and committed in SVN.

Actions #22

Updated by Rashmi Sinha over 2 years ago

Daily Report 28/12/2023------------
1. Graphs plotting code implemented for eye link detection.
2. Integrated the graphs in browse directory.
3. Found bug in graph plotting in two separate eye blink detection ui.

Daily Report 29/12/2023------------
1.Tested V7 eye blink data and found error in three files.
2. Resolved the graph plotting bug in two different eye blink detection UI.
3. Integrated the preprocessing filters in eye blink detection with deepu.

Actions #23

Updated by Rashmi Sinha over 2 years ago

Daily Report 01/01/2024------------
1. Discussion on LIVE PREDICTION eye blink for further integration with PL.
2. Tested whole new epochs of V7 with 10 session for eye blink.
3. BEL hindi document correction and sent.

Daily Report 02/01/2024------------

1. Set threshold based eye blink parameters UI completed and committed.
2. Integrated set Threshold Parameters UI with execute live prediction.
3. Found bug in offline eye blink detection browse directory.

Actions #24

Updated by Rashmi Sinha over 2 years ago

Daily Report 03/01/2024------------
1. Found bug in baseline correction and preprocessing UI.
2. Gone through different baseline techniques and implemented hard coded polynomial baseline correction.
3. Discussion on live prediction integration with PL and deepu.

Daily Report 04/01/2024------------
1. Implemented polynomial baseline correction in preprocessing UI.
2. Checked live data retrieve in peak find for eye blink.
3. Discussion on real time eye detection with PL about channel selection, postprocessing etc.
4. Modified setThresholdUI.py included channels label.

Actions #25

Updated by Rashmi Sinha over 2 years ago

Daily Report 05/01/2024------------
ON LEAVE

Daily Report 08/01/2024------------

1. Implemented eye blink post processing for all channel one prediction.
2. Found bug in channel selection as it is integrated with preprocessing filters.
3. Tried to test real time data abut thread caused error.

Actions #26

Updated by Rashmi Sinha over 2 years ago

Daily Report 09/01/2024------------
1. Modification in eye blink postprocessing completed and handover to deepu for live prediction postprocessing.
2. Modified eye blink threshold ui.
3. Tested live prediction peak detection integration with openbci.

Daily Report 10/01/2024------------

1. Worked on eye blink list appending with the size of decision window with deepu.
2. Issue resolved with all blinks and predicted value.
3. Review and demo the live eye blink detection by PL.

Actions #27

Updated by Rashmi Sinha over 2 years ago

Daily Report 11/01/2024 to 12/01/2024------------

1. Added enable beep checkbox live prediction UI method.
2. Tried to test live eye blink prediction but system was not working properly.
3. Debug the live prediction code with dhanya for display the blink list in real time UI.

Actions #28

Updated by Rashmi Sinha over 2 years ago

Daily Report 15/01/2024 to 16/01/2024------------

1. Review meeting with PL and PM on Eye blink, inner speech and SSVEP.
2. Tried to implement enable beep logic but its not working as per requirement.
3. Tested real time eye blink after changing the count to timer in machinepipeline.
4. Drafted mail for data recording of BMI ad sent to PL
5. Bel doc hindi correction.
6. Found bug in decision window eye blink appending.

Actions #29

Updated by Rashmi Sinha over 2 years ago

Daily Report 15/01/2024 ---------------------

1. Gone through the openbci live stream link shared by Pl.
2. Gone through the buffer logic for live stream.
3. Discussed next openbci live plot ad predicting eye blink using threshold.

Actions #30

Updated by Rashmi Sinha over 2 years ago

Daily Report 17/01/2024 ---------------------

1. Gone through the openbci live stream link shared by PL.
2. Gone through the buffer logic for live stream.
3. Discussed next openbci live plot ad predicting eye blink using threshold.

Actions #31

Updated by Rashmi Sinha over 2 years ago

Daily Report 18-01-2024
1. Reported issue in new live streaming data updation to deepu.
2. Validated the working of the secondary buffer with live streaming ( working fine)
3. Modified eye blink offline ui , added set threshold parameters in UI.
Daily Report 19-01-2024
1. Added set scale entry box in set threshold UI for plotting live streaming data.
2. Demonstrated the live eye blink detection without threshold to PL.
3. Started working on peak detection with ML with changing of threshold parameters.
Daily Report 20-01-2024 to 25-01-2024
on leave
Daily Report 29-01-2024
Attended workshop in CDAC Technopark

Actions #32

Updated by Rashmi Sinha over 2 years ago

Daily Report 30-01-2024 to 31-01-2024
1. Integration of Imgage Generation UI tool in mime application but some issue found with main class of tkinter.
2. Discussed and explained concept of microstate analysis paper to Dhanya.

Daily Report 01-02-2024 to 02-02-2024
1. Explained and transfered peak find code to Deepu
2. Tried to check live prediction for eye blink
3. Explained and transferred all eye blink protocol and basic fundamental to Deepu.

Daily Report 05-02-2024
1. Explained and transferred all documents related to eye blink and shared the data location.
2. Converted one document to hindi.
3. Explained eye blink logic with offline data to deepu

Actions #33

Updated by Rashmi Sinha over 2 years ago

Daily Report 06-02-2024 to 09-02-2024
1. Explanation of each module of image generation UI
a)monochrome
b)grayscale
c)color plot
d)scalogram
2. checked working of real time eye blink detection using openbci and demonstrated the working of algorithm .
3. Work transfer completed 70%

Daily Report 12-02-2024 to 13-02-2024
1. Demo of real time eye blink prediction.
2. Document preparation for work transfer and eye blink suggested by project manager.

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