Quantitative assessment of retropulsion of the hip, excessive hip external rotation, and excessive lateral shift of the trunk over the unaffected side in hemiplegia using three-dimensional treadmill gait analysis

• Published in: Topics in stroke rehabilitation 2016-10, Vol.23 (5), p.311-317
• Main Authors: Tanikawa, Hiroki, Ohtsuka, Kei, Mukaino, Masahiko, Inagaki, Keisuke, Matsuda, Fumihiro, Teranishi, Toshio, Kanada, Yoshikiyo, Kagaya, Hitoshi, Saitoh, Eiichi
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Analysis; Biomechanical Phenomena; Female; Gait; Gait Disorders, Neurologic - diagnosis; Gait Disorders, Neurologic - etiology; Hemiplegia; Hemiplegia - etiology; Humans; Male; Middle Aged; Quantitative analysis; Rehabilitation; Stroke; Stroke - complications; Stroke Rehabilitation; Walking; Young Adult
• ISSN: 1074-9357; 1945-5119
• DOI: 10.1080/10749357.2016.1156361

Background: Gait assessment is important to determine the most effective strategy to regain gait function during stroke rehabilitation. To understand the mechanisms that cause abnormal gait patterns, it is useful to objectively identify and quantify the abnormal gait patterns. Objective assessment also helps evaluate the efficacy of treatments and can be used to provide suggestions for treatment. Objective: To evaluate the validity of quantitative indices for retropulsion of the hip, excessive hip external rotation, and excessive lateral shift of the trunk over the unaffected side in hemiplegic patients. Methods: Forty-six healthy control subjects and 112 hemiplegic patients participated. From the 112 patients, 50 patients were selected into each abnormal gait pattern with some overlap. Participants were instructed to walk on a treadmill and were recorded using a three-dimensional motion analysis system. An index to quantify each of the three abnormal gait patterns was calculated from the three-dimensional coordinate data. The index values of patients were compared with those of healthy subjects and with the results of observational gait assessment by three physical therapists with expertise in gait analysis. Results: Strong correlation was observed between the index value and the median observational rating for all three abnormal gait patterns (−0.56 to −0.74). Most of the patients with an abnormal gait pattern had a higher index value than the healthy subjects. Conclusions: The proposed indices are useful for clinical gait analysis. Our results encourage a more detailed analysis of hemiplegic gait using a motion analysis system.