A Novel Wearable Gait Analysis System for Stroke Patients

Author(s):  
Li-quan Guo ◽  
Lei Yu ◽  
Ji-ping Wang ◽  
Da-xi Xiong
2016 ◽  
Vol 1 (0) ◽  
pp. n/a
Author(s):  
Masahiko Mukaino ◽  
Kei Ohtsuka ◽  
Kazuhiro Tsuchiyama ◽  
Fumihiro Matsuda ◽  
Keisuke Inagaki ◽  
...  

2016 ◽  
Vol 1 (0) ◽  
pp. n/a ◽  
Author(s):  
Masahiko Mukaino ◽  
Kei Ohtsuka ◽  
Kazuhiro Tsuchiyama ◽  
Fumihiro Matsuda ◽  
Keisuke Inagaki ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7685
Author(s):  
Ho Seok Lee ◽  
Hokyoung Ryu ◽  
Shi-Uk Lee ◽  
Jae-sung Cho ◽  
Sungmin You ◽  
...  

Gait disturbance is a common sequela of stroke. Conventional gait analysis has limitations in simultaneously assessing multiple joints. Therefore, we investigated the gait characteristics in stroke patients using hip-knee cyclograms, which have the advantage of simultaneously visualizing the gait kinematics of multiple joints. Stroke patients (n = 47) were categorized into two groups according to stroke severity, and healthy controls (n = 32) were recruited. An inertial measurement unit sensor-based gait analysis system, which requires placing seven sensors on the dorsum of both feet, the shafts of both tibias, the middle of both femurs, and the lower abdomen, was used for the gait analysis. Then, the hip-knee cyclogram parameters (range of motion, perimeter, and area) were obtained from the collected data. The coefficient of variance of the cyclogram parameters was obtained to evaluate gait variability. The cyclogram parameters differed between the stroke patients and healthy controls, and differences according to stroke severity were also observed. The gait variability parameters mainly differed in patients with more severe stroke, and specific visualized gait patterns of stroke patients were obtained through cyclograms. In conclusion, the hip-knee cyclograms, which show inter-joint coordination and visualized gait cycle in stroke patients, are clinically significant.


1999 ◽  
Vol 21 (2) ◽  
pp. 120
Author(s):  
Yanming Yang ◽  
Fang Lin ◽  
Bo Yuan ◽  
Zheng Li

Author(s):  
Gunjan Patel ◽  
Rajani Mullerpatan ◽  
Bela Agarwal ◽  
Triveni Shetty ◽  
Rajdeep Ojha ◽  
...  

Wearable inertial sensor-based motion analysis systems are promising alternatives to standard camera-based motion capture systems for the measurement of gait parameters and joint kinematics. These wearable sensors, unlike camera-based gold standard systems, find usefulness in outdoor natural environment along with confined indoor laboratory-based environment due to miniature size and wireless data transmission. This study reports validation of our developed (i-Sens) wearable motion analysis system against standard motion capture system. Gait analysis was performed at self-selected speed on non-disabled volunteers in indoor ( n = 15) and outdoor ( n = 8) environments. Two i-Sens units were placed at the level of knee and hip along with passive markers (for indoor study only) for simultaneous 3D motion capture using a motion capture system. Mean absolute percentage error (MAPE) was computed for spatiotemporal parameters from the i-Sens system versus the motion capture system as a true reference. Mean and standard deviation of kinematic data for a gait cycle were plotted for both systems against normative data. Joint kinematics data were analyzed to compute the root mean squared error (RMSE) and Pearson’s correlation coefficient. Kinematic plots indicate a high degree of accuracy of the i-Sens system with the reference system. Excellent positive correlation was observed between the two systems in terms of hip and knee joint angles (Indoor: hip 3.98° ± 1.03°, knee 6.48° ± 1.91°, Outdoor: hip 3.94° ± 0.78°, knee 5.82° ± 0.99°) with low RMSE. Reliability characteristics (defined using standard statistical thresholds of MAPE) of stride length, cadence, walking speed in both outdoor and indoor environment were well within the “Good” category. The i-Sens system has emerged as a potentially cost-effective, valid, accurate, and reliable alternative to expensive, standard motion capture systems for gait analysis. Further clinical trials using the i-Sens system are warranted on participants across different age groups.


2021 ◽  
Author(s):  
Nils Roth ◽  
Georg P. Wieland ◽  
Arne Kuderle ◽  
Martin Ullrich ◽  
Till Gladow ◽  
...  

2016 ◽  
Vol 34 (2) ◽  
pp. 195
Author(s):  
Bae Youl Lee ◽  
Seung Don Yoo ◽  
Seung Ah Lee ◽  
JinMann Chon ◽  
Dong Hwan Kim ◽  
...  

2010 ◽  
Vol 12 (4) ◽  
pp. 527-531
Author(s):  
Hideo Kawakami ◽  
Nobuhiko Sugano ◽  
Hidenobu Miki ◽  
Kazuo Yonenobu ◽  
Asaki Hattori ◽  
...  

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