IMPLEMENTATION OF A SMARTPHONE AS A WIRELESS ACCELEROMETER PLATFORM FOR QUANTIFYING HEMIPLEGIC GAIT DISPARITY IN A FUNCTIONALLY AUTONOMOUS CONTEXT

2018 ◽  
Vol 18 (02) ◽  
pp. 1850005 ◽  
Author(s):  
ROBERT LEMOYNE ◽  
TIMOTHY MASTROIANNI
Keyword(s):  
Statistical Significance ◽  
Gait Velocity ◽  
Post Processing ◽  
Accelerometer Sensor ◽  
Software Application ◽  
Stance Time ◽  
Iphone Application ◽  
Hemiplegic Gait ◽  
Wireless Accelerometer ◽  
Temporal Disparity

The utility of the smartphone, such as the iPhone, constitutes considerable potential for the advancement of the biomedical and healthcare industry. A notable feature of the iPhone is the capacity to combine the internal accelerometer sensor with a software application to enable the functionality of a wireless accelerometer platform. Preliminary research has demonstrated the iPhone’s ability to quantify features of healthy gait. The research applies a single iPhone mounted proximal to the lateral malleolus of the affected leg and subsequently the unaffected leg to ascertain quantified disparity of hemiplegic gait from an engineering proof of concept perspective. In order to maintain a consistent gait velocity, a constant velocity treadmill is incorporated into the research endeavor. Post-processing of the gait acceleration waveform is greatly facilitated through the use of a software automation program using Matlab that emphasizes on the rhythmicity of gait. Two gait parameters were obtained: stance-to-stance temporal disparity and stance-to-stance time-averaged acceleration, and demonstrated considerable accuracy, consistency, and reliability. As noted per the constant treadmill velocity, stance-to-stance temporal disparity for the affected and unaffected legs was established as not statistically significant. A statistical significance was determined for the stance-to-stance time-averaged acceleration regarding the affected and unaffected legs. The iPhone application represents a wireless accelerometer platform capable of identifying statistically significant and quantified disparity of hemiplegic gait features through automated post-processing in a functionally autonomous environment.

scholarly journals A functional comparison of medial pivot and condylar knee designs based on patient outcomes and parameters of gait

2018 ◽  
Vol 100-B (1_Supple_A) ◽  
pp. 76-82 ◽  
Author(s):  
B. Benjamin ◽  
J. R. T. Pietrzak ◽  
J. Tahmassebi ◽  
F. S. Haddad
Keyword(s):  
Statistical Significance ◽  
Oxford Knee Score ◽  
Randomised Study ◽  
Significant Difference ◽  
Medial Pivot ◽  
Stance Time ◽  
Total Knee ◽  
One Year ◽  
Biomechanical Features ◽  
Single Radius

AimsThe outcome of total knee arthroplasty (TKA) is not always satisfactory. The purpose of this study was to identify satisfaction and biomechanical features characterising the gait of patients who had undergone TKA with either an anatomical single radius design or a medial pivot design. We hypothesised that the latter would provide superior function.Patients and MethodsThis is a study of a subset of patients recruited into a prospective randomised study of a single radius design versus a medial pivot design, with a minimum follow-up of one year. Outcome measurements included clinical scores (Knee Society Score (KSS) and Oxford Knee Score (OKS)) and gait analysis using an instrumented treadmill.ResultsThere was no statistically significant difference between the two groups for both the KSS and OKS. There was also no statistical significance in cadence, walking speed, stride length and stance time, peak stride, mid support and push-off forces.ConclusionThis study corroborates a previous study by the same authors that showed equally good results in clinical outcome and gait between the conventional single radius and medial pivot designs under stringent testing conditions. Cite this article: Bone Joint J 2018;(1 Supple A)100-B:76–82.

scholarly journals Alterations in gait velocity and grip strength of stroke survivors following a 12-week structured therapeutic exercise programme

2018 ◽  
Vol 10 (1) ◽  
pp. 76-80 ◽  
Author(s):  
Hammed I. Adebisi ◽  
Adodo S. Monikhe ◽  
Agwubike E. Okey
Keyword(s):  
Grip Strength ◽  
Repeated Measures ◽  
Statistical Significance ◽  
Exercise Programme ◽  
Training Data ◽  
Gait Velocity ◽  
P Value ◽  
Stroke Survivors ◽  
Therapeutic Exercise ◽  
Hemiparetic Stroke

Summary Study aim: This study investigated the alterations in gait velocity and grip strength of stroke survivors following a structured therapeutic exercise programme (STEP). Material and methods: This was a pre-test, post-test experimental study of the effectiveness of a 12-week STEP on gait veloc­ity and grip strength of stroke survivors. A total of 30 hemiparetic stroke survivors participated in the study. The instrument for this study was an adaptation of a training protocol for the training and assessment of gait velocity and grip strength. The participants underwent a 12-week STEP of a frequency of 3 times per week and the training programme focused on exercises aimed at improving the gait velocity and grip strength of the participants. The gait velocity and grip strength were measured before and after the training. Data generated were analysed using descriptive statistics of mean and standard deviation to sum­marize the profile of the participants. The analysis of variance for repeated measures (ANOVA) was used to test the hypotheses. Statistical significance was accepted for a p value of <0.05. Results: The outcome of this study showed that the STEP had significant (p < 0.05) effects on the gait velocity and grip strength of stroke survivors. Meanwhile, there was no significant (p > 0.05) effect of haemorrhagic and ischaemic groups of stroke sur­vivors on gait velocity and grip strength.Conclusion: It was therefore concluded that the use of the STEP can substantially improve the gait velocity and grip strength of stroke survivors.

Characterization of wireless accelerometer sensor and its industrial applications

2014 ◽  
Author(s):  
Satish Mohanty ◽  
K. K. Gupta ◽  
Kota Solomon Raju ◽  
Vikrant Mishra ◽  
Vipin Kumar ◽  
...  
Keyword(s):  
Industrial Applications ◽  
Accelerometer Sensor ◽  
Wireless Accelerometer

WIRELESS ACCELEROMETER SYSTEM FOR QUANTIFYING DISPARITY OF HEMIPLEGIC GAIT USING THE FREQUENCY DOMAIN

2013 ◽  
Vol 13 (03) ◽  
pp. 1350035 ◽  
Author(s):  
ROBERT LEMOYNE ◽  
TIMOTHY MASTROIANNI ◽  
WARREN GRUNDFEST
Keyword(s):  
Frequency Domain ◽  
Outdoor Environment ◽  
Elastic Band ◽  
Test And Evaluation ◽  
Gait Characteristics ◽  
Temporal Domain ◽  
Therapy Strategy ◽  
Gait Quality ◽  
Hemiplegic Gait ◽  
Wireless Accelerometer

The proper allocation of a therapy strategy and dosage is fundamentally associated with the quantified evaluation of gait quality. Wireless accelerometer systems for the evaluation of quantified hemiplegic gait characteristics has been successfully applied in inherently autonomous environments through the consideration of the temporal domain of the gait acceleration waveform. The frequency domain has notable potential for identifying the quantified disparity of the affected leg and unaffected leg through the application of a tandem-activated wireless accelerometer system mounted to the lateral malleolus of each lower leg through an elastic band. The quantification of disparity for hemiplegic gait via the application of wireless accelerometers was applied in an outdoor environment, while walking on a sidewalk. In addition, the wireless accelerometers were tandem activated while the subject had achieved steady-state gait status, which mitigated the need to subjectively remove starting acceleration and stopping deceleration aspects of the gait cycle. Four predominant frequencies within the 0–5 Hz bandwidth demonstrated a considerable degree of accuracy and reliability. The organization of the four predominant frequencies for both affected leg and unaffected leg were found to be disparate in a statistically significant manner, implicating a disparity of the rhythmicity respective of the affected leg in contrast to the unaffected leg in hemiplegic gait. These preliminary findings may advance gait quantification techniques, which may improve the efficacy of gait rehabilitation therapy. Enclosed are the initial test and evaluation of a tandem-activated wireless accelerometer system using the frequency domain for ascertaining a quantified disparity of hemiplegic gait.

scholarly journals An Efficient In-Situ Debris Flow Monitoring System over a Wireless Accelerometer Network

2019 ◽  
Vol 11 (13) ◽  
pp. 1512 ◽  
Author(s):  
Jiaxing Ye ◽  
Yuichi Kurashima ◽  
Takeshi Kobayashi ◽  
Hiroshi Tsuda ◽  
Teruyoshi Takahara ◽  
...  
Keyword(s):  
Machine Learning ◽  
Debris Flow ◽  
Monitoring System ◽  
In Situ Monitoring ◽  
Machine Learning Techniques ◽  
Mountainous Area ◽  
Accelerometer Sensor ◽  
Flow Monitoring ◽  
Wireless Accelerometer

Debris flow disasters pose a serious threat to public safety in many areas all over the world, and it may cause severe consequences, including losses, injuries, and fatalities. With the emergence of deep learning and increased computation powers, nowadays, machine learning methods are being broadly acknowledged as a feasible solution to tackle the massive data generated from geo-informatics and sensing platforms to distill adequate information in the context of disaster monitoring. Aiming at detection of debris flow occurrences in a mountainous area of Sakurajima, Japan, this study demonstrates an efficient in-situ monitoring system which employs state-of-the-art machine learning techniques to exploit continuous monitoring data collected by a wireless accelerometer sensor network. Concretely, a two-stage data analysis process had been adopted, which consists of anomaly detection and debris flow event identification. The system had been validated with real data and generated favorable detection precision. Compared to other debris flow monitoring system, the proposed solution renders a batch of substantive merits, such as low-cost, high accuracy, and fewer maintenance efforts. Moreover, the presented data investigation scheme can be readily extended to deal with multi-modal data for more accurate debris monitoring, and we expect to expend addition sensory measurements shortly.

scholarly journals Is There a Valid App for That? Validity of a Free Pedometer iPhone Application

2012 ◽  
Vol 9 (5) ◽  
pp. 670-676 ◽  
Author(s):  
Randall J. Bergman ◽  
Justin W. Spellman ◽  
Michael E. Hall ◽  
Shawn M. Bergman
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Statistical Significance ◽  
Activity Monitor ◽  
Treadmill Walking ◽  
Research Assistant ◽  
Step Counts ◽  
Valid Instrument ◽  
Iphone Application ◽  
Monitoring Activity

Background:This study examined the validity of a selected free pedometer application (iPedometer; IP) for the iPhone that could be used to assess physical activity.Methods:Twenty college students (10 men, 10 women; mean age: 21.85 ± 1.57 yrs) wore an iPhone at 3 locations (pocket, waist, arm) and a StepWatch 3 Step Activity Monitor (SW) on their right ankle while walking on a treadmill at 5 different speeds (54, 67, 80, 94, 107 m·min−1). A research assistant counted steps with a tally counter (TC).Results:Statistical significance between the TC, SW, and IP was found during every condition except IP in the pocket at 107 m·min−1 (F2,38 = .64, P = .54). Correlations involving the IP revealed only 1 positive correlation (IP on arm at 54 m·min−1) for any of the conditions (r = .46, P = .05).Conclusion:The IP application was not accurate in counting steps and recorded significantly lower step counts than the SW and TC. Thus, the free pedometer application used is not a valid instrument for monitoring activity during treadmill walking.

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