Pulsed Signal Therapy<sup>®</sup>: An overview
Bibliographic record
Abstract
Abstract Pulsed Signal Therapy® (PST®) is a unique form of therapy that entails directing a specific physiological signal carried on a series of magnetic field pulses to the treatment site. These uniquely specific energy parameters are transmitted through the injured tissue to target the affected area via direct induction. The corrective PST® signal, carried on the magnetic wave‐pulse, induces a tiny electrical signal that mimics the physiological signaling normally occurring in healthy living organisms. In this way, it exerts its therapeutic effects by stimulating cellular repair. Double‐blind clinical trials and other open label randomized studies conducted in over 100,000 patients have consistently confirmed the long term efficacy and safety of PST® in patients suffering from osteoarthritis of the knee, cervical and lumbar spine. Data was collected over a 10 year period in the USA, Canada, France, Italy and Germany, by qualified specialists at major medical centers, or their affiliated teaching hospitals and other facilities. * Extensive studies in patients with temporomandibular joint disorder (TMJ) and tinnitus, not responsive to other therapies, have shown significant improvement, following PST®. Ergo PST has been successfully used in the treatment of chronic pain associated with connective tissue (cartilage, tendon, ligaments and bone) injury, osteoarthritis (OA or arthrosis) and also in the treatment of joint‐associated soft tissue injury (traumatic, including soft tissue injury). In effect, PST® has been shown to exert positive effects on both cartilage and dense connective tissue, and in stimulating the repair of bone‐tissue.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".