Extraction of Clinically Relevant Temporal Gait Parameters from IMU Sensors Mimicking the Use of Smartphones
As populations age and workforces decline, the need for accessible health assessment methods grows. The merging of accessible and affordable sensors such as inertial measurement units (IMUs) and advanced machine learning techniques now enables gait assessment beyond traditional laboratory settings....
Saved in:
| Main Authors: | Aske G. Larsen, Line Ø. Sadolin, Trine R. Thomsen, Anderson S. Oliveira |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/14/4470 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Determination of Spatiotemporal Gait Parameters Using a Smartphone’s IMU in the Pocket: Threshold-Based and Deep Learning Approaches
by: Seunghee Lee, et al.
Published: (2025-07-01) -
Validity and Reliability of a Smartphone-Based Gait Assessment in Measuring Temporal Gait Parameters: Challenges and Recommendations
by: Sam Guoshi Liang, et al.
Published: (2025-06-01) -
The Detection of Gait Events Based on Smartphones and Deep Learning
by: Kaiyue Xu, et al.
Published: (2025-05-01) -
Relationship Between Lower-Extremity Co-Contraction and Jerk During Gait
by: Toshinori Miyashita, et al.
Published: (2025-04-01) -
Comparative analysis of spatiotemporal gait parameters in patients with distal femoral megaprosthesis and healthy subjects using an inertial measurement unit (IMU)
by: Nadia Jover-Jorge, et al.
Published: (2025-01-01)