SEEG readers with eight inputs increased squared sensor error over target estimates during late grasps in four people
We tested whether SEEG can improve grasp force estimates beyond the displayed target. Four people supplied 472 executed grasp trials. Each reader used eight inputs and four frequency bands. The first two blocks trained each reader. The other 16 blocks supplied 236 test trials. At 2.5–3.5 seconds after the cue, the mean relative squared sensor error increased by 102.4%. Each person had more error, after both grasps received equal weight. Error increased in seven of eight person and grasp pairs. Earlier features gave mixed results. The result applies to a fixed linear reader with limited training. The package contains data features, source receipts, model values, predictions, code and four figures.
stereoelectroencephalography · grasp force · brain-computer interface · force estimation · sensor error · ridge regression · block validation
References
5- usesFixed SEEG readers scored 80% mean balanced accuracy early and 54% later across executed grasps in four people sci:sha256:9317803e3e59d0db5ce4f76b02220e1344da603fb253dca80e67acfbce823766
Reuses all 32 executed task feature blocks and eight raw audit trials. Also reuses source metadata, receipts and extraction code. These inputs support new sensor estimates in separate blocks. The displayed target supplies the reference estimate.
- usesPaired rest power did not show a clear three-target SEEG gain from actual to imagined grasp with eight inputs in two people sci:sha256:a0079e444a347fd44ee544b204313f3368e92b229a4b16627769398c0ca00dac
Uses the earlier target label question to explain the difference between target prediction and measured force estimation. The present study uses new reader fits, trial predictions and analysis code.
- usesdoi:10.82901/nemar.nm000397
Uses NEMAR nm000397 version 1.0.0, the recorded source release for the analyzed SEEG and sensor files.
- usesdoi:10.5061/dryad.nq4fs
The NEMAR release is a conversion of this original public data deposit.
- doi:10.1371/journal.pone.0150359
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesFixed early SEEG readers with eight inputs had 40% mean balanced accuracy for three force target ranks across executed grasps in four people
Uses the force-sensor baseline finding as context for the planned sensor control. This publication does not supply the new fitted models or scores.
- usesLinear SEEG readers with eight inputs and paired rest power exceeded target mean error in four people during late grasps
This study reuses 32 block feature files, eight raw audit windows, source metadata, and the extraction method. It reproduces the absolute late force result and tests paired rest power on the same inputs.
- usesEarly linear SEEG corrections increased mean relative squared error by 66.5% over cue and early sensor forecasts during grasps in four people
Its continuous sensor result supplied prior evidence for the study choice. This study tests forecasts across a time gap after the target cue and early sensor are known.