This study aims to investigate whether preoperative gait characteristics, measured by wearable sensors, can predict the clinical outcomes of Deep Brain Stimulation (DBS) in patients with dystonia. Participants scheduled for DBS surgery will undergo gait analysis using wearable sensors before the procedure. Clinical assessments, including the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and the SF-36 Health Survey, will be conducted preoperatively and postoperatively to evaluate surgical efficacy and quality of life. The study seeks to identify gait biomarkers that correlate with optimal DBS response.
This study aims to investigate whether preoperative gait characteristics, measured by wearable sensors, can predict the clinical outcomes of Deep Brain Stimulation (DBS) in patients with dystonia. Participants scheduled for DBS surgery will undergo gait analysis using wearable sensors before the procedure. Clinical assessments, including the Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) and the SF-36 Health Survey, will be conducted preoperatively and postoperatively to evaluate surgical efficacy and quality of life. The study seeks to identify gait biomarkers that correlate with optimal DBS response.
Study Type
OBSERVATIONAL
Enrollment
50
Patients will wear inertial measurement units (IMUs) on \[specify body parts, e.g., lower back, ankles\] to record gait data during standardized walking tasks before surgery.
Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine
Shanghai, China
RECRUITINGCorrelation between Baseline Gait Features and BFMDRS Improvement
Time frame: Through study completion, up to 6 months
Change in Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) Score
Time frame: Baseline (pre-operative) and 6 months post-operative
Change in SF-36 Quality of Life Score
Time frame: Baseline (pre-operative) and 6 months post-operative
Gait Characteristics (Spatio-temporal parameters)
Time frame: Baseline (pre-operative)
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