# A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-approach-for-gait-event-detection-from-a-single-shank-worn-imu/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Robbin Romijnders,Elke Warmerdam,Clint Hansen,Gerhard Schmidt,Walter Maetzler |
| Citations | 84 |
| DOI | 10.3390/s22103859 |
| Fields | Computer Science,Engineering,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/22/10/3859/pdf?version=1652960275 |
| OpenAlex ID | https://openalex.org/W4280591150 |
| PMID | 35632266 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Clint Hansen](https://scholariq.org/researchers/clint-hansen/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## Paper primary topic

- [Gait Recognition and Analysis](https://scholariq.org/topics/gait-recognition-and-analysis/)

## Paper topics

- [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/)
- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

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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.