A first-person phenomenological pilot case study exploring the efficacy of using whole-body low frequency sound vibration to treat stress and anxiety
Bibliographic record
Abstract
The purpose of this pilot first-person case study was to test if whole-body low frequency sound vibration decreases stress and anxiety and to evaluate the equipment used to measure the effects of vibration to inform a more extensive, long-term clinical study in the future. The Next Wave Physioacoustic Chair was used to apply the treatments, which consisted of six 20-minute sessions spread out over 15 days. Qualitative data consisted of daily journal entries and pre- and post-treatment observations. A phenomenological analysis involved the identification of emerging themes. Quantitative data was collected using a Garmen Vivosmart 4 device worn on the wrist twenty-four hours daily (except when charging). The device measured pre- and post-treatment heart rate, heart rate variability (HRV), and sleep quality. An overall stress score was computed using HRV measurements and sleep. The results showed that Physioacoustic treatment can have a positive effect on stress and anxiety levels. This was shown by a consistently lowered heart rate following each treatment, increased body awareness and connection, decreased pain and tension, and a sense of relaxation, calm, mental clarity, and focus. The recommendation is for further long-term studies using a more significant number of participants reporting high levels of stress and anxiety along with control groups. Further studies may also benefit from incorporating electroencephalogram (EEG) measurements to examine brainwave activity to further understand stress-related outcomes.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".