Merged Flyback–SC-Based Output Stage for Versatile Portable Transcutaneous Electrical Stimulators
Bibliographic record
Abstract
This paper introduces a highly flexible multichannel output stage for battery-powered portable electric stimulators (ESs), based on novel power converter architecture. Compared with other solutions, the presented output stage for transcutaneous (surface) stimulations increases the number of applicable therapies, improves the battery operating time through reduced power consumption, and potentially results in more comfortable and shorter healing therapies. The new hybrid switch-mode power converter is a combination of flyback and switched-capacitor (SC) topologies. The flyback steps up the battery voltage and provides galvanic isolation. The following power-efficient SC stage replaces lossy linear current sources (CSs) of conventional solutions and produces pulses with a much higher slew rate, reducing the pulse energy needed to cause the stimulus. The SC also inherently produces pulses with zero-net charge, eliminating bulky blocking capacitors and/or dedicated discharging circuits. The regulation of the amplitudes of the pulses is performed with a new digital voltage-programmed current mode controller, forcing the output of the SC stage to behave as a CS. The flexible digital controller allows for creation of various types of pulses and also features several levels of patient protection. An experimental prototype of the output stage has undergone proof of principle tests with able-bodied individuals. The results show that the new output stage produces pulses with a 1-mA/ns slew rate, about two orders of magnitude higher than the other known solutions. The trials show that the faster slew rate pulses generate the same muscle contraction with 34% lower amplitudes, reducing energy consumption by 55%, allowing longer battery life of portable ES applications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".