{
  "id": 19046,
  "url": "https://arxiv.org/abs/2608.11958v1",
  "title": "Synchronized AMG and EMG Dataset of Lower-limb Muscle Activities in Everyday Training",
  "summary": "Understanding how lower-limb muscle groups coordinate is important for studying movement impairment, rehabilitation, and physical performance. Reproducible analysis of this coordination requires multimodal recordings that relate local muscle-related signals with body-level kinematics. Complementing neural-level electrical activation captured by EMG, AMG provides a valuable mechanical approach to monitoring muscle activity. Here, we introduce a synchronized, multimodal dataset for healthy-adult l",
  "authors": "Dongxu Tang, Shih Ying-Lei, Zhuoyi Ren, Jianting Liao, Yitian Shao",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T11:43:19.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19046",
  "original_url": "https://arxiv.org/abs/2608.11958v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}