# Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-for-accelerometric-data-assessment-and-ataxic-gait-monitoring/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Aleš Procházka,Ondřej Dostál,Pavel Cejnar,Hagar Ibrahim Mohamed,Zbyšek Pavelek,Martin Vališ,Oldřich Vyšata |
| Citations | 35 |
| DOI | 10.1109/tnsre.2021.3051093 |
| Fields | Computer Science,Engineering,Health Professions |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ieeexplore.ieee.org/ielx7/7333/9363468/09320586.pdf |
| OpenAlex ID | https://openalex.org/W3118905748 |
| PMID | 33434133 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Zbyšek Pavelek](https://scholariq.org/researchers/zbysek-pavelek/)

## Paper journal

- [IEEE Transactions on Neural Systems and Rehabilitation Engineering](https://scholariq.org/journals/ieee-transactions-on-neural-systems-and-rehabilitation-engineering/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Gait Recognition and Analysis](https://scholariq.org/topics/gait-recognition-and-analysis/)
- [Balance, Gait, and Falls Prevention](https://scholariq.org/topics/balance-gait-and-falls-prevention/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.