A hybrid device for electrical impedance tomography and bioelectrical impedance spectroscopy measurement
Bibliographic record
Abstract
We proposed a hybrid device, which is capable of measuring either bioelectrical impedance spectroscopy (BIS) or electrical impedance tomography (EIT) based on the Magnitude Ratio and Phase Difference Detection method. Frequency range available for measuring is from 1 kHz to 1 MHz. The device is based on The Freescale Tower system module with S08MM Freescale microcontroller. The proposed device is divided into two modules. One of them includes measurement chain, the second one contains four multiplexers, which connect always four electrodes to the circuit from total amount of sixteen electrodes. Both modules are connected via Tower elevator modules. While measuring impedance the systematic error occured, so we used the Quadratic Interpolation Self-calibration algorithm for calculation of the measured impedance. Calibration was applied on the absolute value of impedance. Calibration on the phase shift has not been done yet, since both input signals to GPD are highly disturbed with the noise, although they pass through a low-pass filter with cut-off frequency of 1 MHz. The superposed noise confuses GPD, so it cannot give the correct results. The relative error of impedance measurement after calibration ranges from -4.52 % to 5.98 % with mean value of -0.02 %.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".