# A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-wearable-sensor-and-machine-learning-estimate-step-length-in-older-adults-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Assaf Zadka,Neta Rabin,Eran Gazit,Anat Mirelman,Alice Nieuwboer,Lynn Rochester,Silvia Del Din,Elisa Pelosin,Laura Avanzino,Bastiaan R. Bloem,Ugo Della Croce,Andrea Cereatti,Jeffrey M. Hausdorff |
| Citations | 35 |
| DOI | 10.1038/s41746-024-01136-2 |
| Fields | Engineering,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-024-01136-2.pdf |
| OpenAlex ID | https://openalex.org/W4399021810 |
| PMID | 38796519 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Laura Avanzino](https://scholariq.org/researchers/laura-avanzino/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## Paper primary topic

- [Balance, Gait, and Falls Prevention](https://scholariq.org/topics/balance-gait-and-falls-prevention/)

## Paper topics

- [Balance, Gait, and Falls Prevention](https://scholariq.org/topics/balance-gait-and-falls-prevention/)
- [Stroke Rehabilitation and Recovery](https://scholariq.org/topics/stroke-rehabilitation-and-recovery/)
- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

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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.