An overview of current prosthetic sensory rehabilitation and future development
Bibliographic record
Abstract
Sensory substitution is an essential part of prosthetics. Rehabilitation of sensory feedback systems can considerably improve the quality of life for the disabled population. It can restore lost visual and auditory functions, and it can also enhance prosthetic limb activities by providing users with sensory feedback. The major purpose of this study was to examine prosthetic implants for auditory, olfactory, and tactile restorations. In addition, the research contributes to the literature database by discussing aspects that affect the efficacy of prosthetic sensory substitutes, as well as present technical limitations and future goals. In order to examine the current state of sensory rehabilitation utilizing prosthesis, a search of the UBC library's journal collection yielded 33 articles for this review. The title and abstract of relevant literature studies are reviewed. The complete text is then examined to confirm its legitimacy and summarize the necessary information. The finding suggests that sensory rehabilitation with prosthesis could considerably improve the quality of life for users. Tactile and visual rehabilitation are still in the research phase, although hearing prostheses have been widely adopted. Both tactile and visual substitutes require additional development prior to commercial entry. Additionally, training is typically necessary to maximize effectiveness. On the long-term effects of invasive sensory replacements, more research is required.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".