# Deep Neural Network for Stroke Patient Gait Analysis and Classification

> **NCT04968418** · — · UNKNOWN · sponsor: **Cheng-Hsin General Hospital** · enrollment: 100 (estimated)

## Conditions studied

- Gait Disorders, Neurologic
- Artificial Intelligence

## Interventions

- **DEVICE:** APDM OPAL system wearable IMU

## Key facts

- **NCT ID:** NCT04968418
- **Lead sponsor:** Cheng-Hsin General Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2021-07-20
- **Primary completion:** 2023-05-01
- **Final completion:** 2023-05-31
- **Target enrollment:** 100 (ESTIMATED)
- **Last updated:** 2022-03-09

## Collaborators

- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04968418

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04968418, "Deep Neural Network for Stroke Patient Gait Analysis and Classification". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT04968418. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*
