№ files_lp_3_process_9_32329
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Scientific clinical research article reporting a four-week single-arm trial evaluating clinical outcomes and biomechanical changes associated with an AI-supervised remote exercise program in patients with nonspecific chronic low back pain.
Authors: Pengcheng Lu; Zhuodong Zhang; Jingjing Hu; Qing Zeng; Tao Fan; Qiuyou Xie; Manxu Zheng; Guozhi Huang
Affiliations: Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China; School of Rehabilitation, Southern Medical University, Guangzhou, China
Corresponding authors: Qiuyou Xie; Manxu Zheng; Guozhi Huang
Study design: Single-arm clinical trial
Intervention duration: Four weeks
Population: Patients with nonspecific chronic low back pain (NSCLBP)
Sample size: 14 participants
Intervention: Remote AI-supervised virtual exercise program (RAVEP) delivered via smartphone application
Exercise components: Breathing exercises; Core strengthening; McKenzie exercises
Assessment methods: Ultrasound imaging; 3D motion capture; Surface electromyography; OpenSim musculoskeletal modeling; Visual Analog Scale (VAS); Oswestry Disability Index (ODI); Roland-Morris Disability Questionnaire (RMDQ); Timed Up and Go (TUG)
Outcome measures: Pain intensity; Clinical function; Lumbar muscle thickness; Muscle force; Intervertebral loads; Lumbar kinematics
Keywords: Nonspecific chronic low back pain; AI-supervised virtual exercise; OpenSim; Ultrasound imaging
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Supplementary Tables S1–S6: Nonspecific Feelings Expected and Experienced During or Immediately After Electroacupuncture in a Teaching Situation
Authors: David F. Mayor; Lara S. McClure; J. Helgi Clayton McClure
Title of study: Nonspecific feelings expected and experienced during or immediately after electroacupuncture: A pilot study in a teaching situation
Type of document: Supplementary materials
Content: Tables S1–S6 and Figure S1
Subject: Electroacupuncture; expected and experienced nonspecific feelings; questionnaire analysis
Study design: Pilot study in a teaching situation
Measures: EXPre20; EXPost20; questionnaire score counts; binomial p values; clustering analyses
Statistical methods: Binomial test; Jaccard’s index; Sokal and Sneath’s index 5; Ward’s method; Cramer’s V
Variables: Change/no change; increase/decrease; treatment frequencies (Hz); treatment duration (minutes); number of points per treatment
Population: Respondents receiving electroacupuncture; subgroup analysis by prior experience of EA/TENS
Figure included: Figure S1 showing relationships between expected and experienced increase and decrease scores
Topics: AI-Supervised Telerehabilitation Nonspecific