# Tennis Elbow Diagnosis Using Equivalent Uniform Voltage to Fit the Logistic and the Probit Diseased Probability Models

**Authors:** Tsair-Fwu Lee, Wei-Chun Lin, Hung-Yu Wang, Shu-Yuan Lin, Li-Fu Wu, Shih-Sian Guo, Hsiang-Jui Huang, Hui-Min Ting, Pei-Ju Chao

PMC · DOI: 10.1155/2015/585180 · BioMed Research International · 2015-08-25

## TL;DR

This study uses EMG voltage data to predict the likelihood of tennis elbow tenderness using logistic and probit models.

## Contribution

The paper introduces equivalent uniform voltage thresholds to predict tennis elbow tenderness using logistic and probit models.

## Key findings

- A 50% disease risk threshold (TV50) was found at 153.0 mV for the logistic model and 155.6 mV for the probit model.
- 27% of samples showed VAS 3+ tenderness, confirmed by both subject reports and physicians.
- Logistic and probit models effectively predict tennis elbow tenderness based on EMG data.

## Abstract

To develop the logistic and the probit models to analyse electromyographic (EMG) equivalent uniform voltage- (EUV-) response for the tenderness of tennis elbow. In total, 78 hands from 39 subjects were enrolled. In this study, surface EMG (sEMG) signal is obtained by an innovative device with electrodes over forearm region. The analytical endpoint was defined as Visual Analog Score (VAS) 3+ tenderness of tennis elbow. The logistic and the probit diseased probability (DP) models were established for the VAS score and EMG absolute voltage-time histograms (AVTH). TV50 is the threshold equivalent uniform voltage predicting a 50% risk of disease. Twenty-one out of 78 samples (27%) developed VAS 3+ tenderness of tennis elbow reported by the subject and confirmed by the physician. The fitted DP parameters were TV50 = 153.0 mV (CI: 136.3–169.7 mV), γ
50 = 0.84 (CI: 0.78–0.90) and TV50 = 155.6 mV (CI: 138.9–172.4 mV), m = 0.54 (CI: 0.49–0.59) for logistic and probit models, respectively. When the EUV ≥ 153 mV, the DP of the patient is greater than 50% and vice versa. The logistic and the probit models are valuable tools to predict the DP of VAS 3+ tenderness of tennis elbow.

## Full-text entities

- **Genes:** SRPRA (SRP receptor subunit alpha) [NCBI Gene 6734] {aka DP, SRPR, Sralpha}
- **Diseases:** atrophic (MESH:D020966), ulnar styloid (MESH:D000092503), overuse injury (MESH:D012090), Tennis Elbow (MESH:D013716), fibrosis (MESH:D005355), muscle (MESH:D019042), muscular strain (MESH:D013180), ECRB (MESH:D009127), fibers (MESH:D000071075), AVTH (MESH:D000377), injury (MESH:D014947), muscle or tendon pathology (MESH:D052256), traumatic osteoarthritis (MESH:D010003), acute pain (MESH:D059787), soft tissue injury (MESH:D017695), tendon rupture (MESH:D012421), inflammation (MESH:D007249), neuropathies (MESH:D009422), radial neuropathy (MESH:D020425), cervical radiculopathy (MESH:D011843), DP (MESH:C536741), Elbow lateral epicondylitis (MESH:D000092483), pain (MESH:D010146), neuromuscular diseases (MESH:D009468), tenderness (MESH:D063806), degenerative disease (MESH:D019636), myopathies (MESH:D009135)
- **Chemicals:** water (MESH:D014867), DP (-), steroid (MESH:D013256), AgCl (MESH:C037548)
- **Species:** Homo sapiens (human, species) [taxon 9606], Dipturus trachyderma (ray, species) [taxon 255564]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC4561943/full.md

## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC4561943/full.md

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Source: https://tomesphere.com/paper/PMC4561943