Handwriting and Fine-Motor Assessment for Affordable Parkinson Evaluation: Reliability Limits, Stable Confounding, and the Burden of Repetition
Abstract Handwriting assessment requires sufficient valid recordings, comparable measurement conditions, and a payment arrangement that permits completion. This article combines a targeted literature synthesis with hypothetical calculations of acquisition design, integer repetition requirements, patient budgets, and false change after a device offset. Established variance-component algebra supplies a background reliability constraint rather than a new measurement principle. Three stipulated acquisition options require nine, four, or three valid trials to reach target reliability of at least 0.75. Including acquisition-improvement costs, their provider expenditures are thirteen, eleven, and thirteen resource units. At two units per attempted trial and an eight-unit patient budget, only the latter two options are affordable when all captures succeed. They form distinct tradeoffs between provider resources and repetition burden. A failed-capture extension fixes the four-valid-trial option and assumes independent validity probability 0.80. An allowance of four attempts produces four valid trials only 40.96% of the time; six allowed attempts increase that probability to 90.112%. These are technical acquisition-completion probabilities, not diagnostic outcomes. A three-unit bundle permits the longer allowance without increasing the patient's bill, while the provider still finances unsuccessful attempts. Separately, a 0.40-unit device offset produces approximately 16.5% false-change probability for nine-trial averages under a nominal 5% threshold. The analysis distinguishes measurement adequacy, affordability, and diagnostic validity. It supports testing acquisition quality and device agreement before imposing repeat charges, without claiming actual prices, clinical thresholds, or validated NeuralCipher performance. 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Authors
- Feride Yaldiz
- Yavuz Selim Sılay
- Kadir Tamrak
- Salih Yaldız
- NeuralCipherai
- Hasan Randa
- Ömer Ağyol
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-16
- DOI
- https://doi.org/10.5281/zenodo.22782311
- Primary Topic
- Voice and Speech Disorders
- Type
- preprint