Time-based wireless synchrounous detection of bioimpedance signals
Bibliographic record
Abstract
This letter presents a novel time-based scheme for wireless measurement of bioimpedance. Conventional circuits measure impedance in the analog or digital domain, incurring in high power and area consumption resulting from either the use of analog multipliers and high-order filters, or high-speed ADCs. Wireless transmission of impedance bits further results in a power penalty. Time domain solution offer a unique advantage both in terms of power consumption and technology scalability. Here we present a system that combines a pulse-width modulation-pulse position modulation (PWM-PPM) readout with a pulse-harmonic modulation (PHM) wireless link for power efficient transmission of impedance data. The paper presents a system-level description of the wireless readout architecture and its operation simulated in MATLAB/SIMULINK and LTSpice. The work presented here can provide the foundation for the design of novel time-based energy-efficient wireless impedance analyzers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".