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<p>The PhysioMio dataset presented in this paper provides longitudinal high-density surface electromyography (HD-sEMG) recordings from both the healthy and impaired forearms of 48 stroke patients with arm paresis, captured during the performance of 16 distinct hand gestures. Patients were recorded at regular intervals during their individual inpatient rehabilitation stay, resulting in an average of three recording sessions at different stages of post-stroke rehabilitation per patient. The HD-sEMG signals were collected using a dry 64-electrode array positioned around the forearm, enabling observation of muscle activation patterns. The healthy arm was recorded during the first week to serve as a reference, while subsequent recordings focused solely on the impaired arm. This data can offer insights into neuromuscular deficits related to stroke and allow for comparative analysis between healthy and impaired arms. This dataset serves as a valuable resource for studying motor impairment and recovery potential in stroke-induced arm paresis, supporting advancements in personalized rehabilitation and assistive technologies.</p>

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PhysioMio: bilateral and longitudinal HD-sEMG dataset of 16 hand gestures from 48 stroke patients

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月9日

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  • Julian Ilg,
  • Alexander C. R. Oldemeier,
  • Marie Fieweger,
  • Luca Deuschel,
  • Peter Rieckmann,
  • Peter Young,
  • Sabine Krause,
  • Tim C. Lueth

摘要

The PhysioMio dataset presented in this paper provides longitudinal high-density surface electromyography (HD-sEMG) recordings from both the healthy and impaired forearms of 48 stroke patients with arm paresis, captured during the performance of 16 distinct hand gestures. Patients were recorded at regular intervals during their individual inpatient rehabilitation stay, resulting in an average of three recording sessions at different stages of post-stroke rehabilitation per patient. The HD-sEMG signals were collected using a dry 64-electrode array positioned around the forearm, enabling observation of muscle activation patterns. The healthy arm was recorded during the first week to serve as a reference, while subsequent recordings focused solely on the impaired arm. This data can offer insights into neuromuscular deficits related to stroke and allow for comparative analysis between healthy and impaired arms. This dataset serves as a valuable resource for studying motor impairment and recovery potential in stroke-induced arm paresis, supporting advancements in personalized rehabilitation and assistive technologies.