Whether ambulatory electroencephalogram and visual tracking system could be the new strategy for pain assessment?

Xiaqing Ma; Hong Zhang; Tao Xu

doi:10.3389/fnins.2023.1122614

Whether ambulatory electroencephalogram and visual tracking system could be the new strategy for pain assessment?

Front Neurosci. 2023 Jan 17:17:1122614. doi: 10.3389/fnins.2023.1122614. eCollection 2023.

Authors

Xiaqing Ma^{1

2}, Hong Zhang³, Tao Xu^{1

4

3}

Affiliations

¹ Department of Anesthesiology, Suzhou Hospital of Anhui Medical University, Suzhou, Anhui, China.
² Department of Anesthesiology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
³ Department of Anesthesiology, Tongzhou People's Hospital, Nantong, Jiangsu, China.
⁴ Department of Anesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.

Abstract

The human pain experience is a complex multi-faceted symptom. Effective pain management begins with a comprehensive assessment. However, a plethora of existing assessment tools for pain assessment focus more on self-report of pain intensity but lack of multi-dimensional impersonal assessment. These unidimensional scales, which capture self-reported levels of pain intensity, not only underestimate the complexity of the pain experience, but also lack stability and objectivity in their own assessments of pain intensity. Therefore, we propose a hypothesis that using scientific and technological means, such as visual tracking and surveillance system, ambulatory electroencephalogram and other techniques, combined with psychological assessment pictures and existing scales, to comprehensively evaluate pain may provide a new method for more effective clinical treatment of pain, especially chronic severe pain.

Keywords: ambulatory electroencephalogram; assessment; human; pain; visual tracking and surveillance system.

Grants and funding

This work was supported by grant from the National Natural Science Foundation of China (82171486), Natural Science Foundation of Shanghai to TX (21ZR1448400), the Interdisciplinary Program of Shanghai Jiao Tong University to TX (YG2021ZD23), and General Science Foundation of Shanghai Sixth People’s Hospital to TX (YNMS202114).