PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 12, 2026Frontiers in Bioengineering and Biotechnology6 citationsOpen Access

Balance and fall-risk assessment in older adults using wearable plantar pressure and semi-supervised learning

View Full Paper
Ask AI
Bookmark
Share

Authors

JOJianlin OuFCFangting ChenCLChengqiang Liao

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Ou et al. (2026) studied this question.

synapsesocial.com/papers/6a21e5d7f5119ebe07a601c7https://doi.org/10.3389/fbioe.2025.1703500
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Older Adult Fall Risk Prediction with Deep Learning and Timed Up and Go (TUG) Test Data2024 · 14 citations
  2. 2Effectiveness and Usability of a Novel Kinect-Based Tailored Interactive Fall Intervention System for Fall Prevention in Older People: A Preliminary Study2022 · 8 citations
  3. 3Wearable Sensor Systems for Fall Risk Assessment: A Review2022 · 170 citations
  4. 4Relationship Between Plantar Tissue Hardness and Plantar Pressure Distributions in People With Diabetic Peripheral Neuropathy2022 · 18 citations
  5. 5Estimation of Various Walking Intensities Based on Wearable Plantar Pressure Sensors Using Artificial Neural Networks2021 · 25 citations