Performance of orientation sensors for use with a functional electrical stimulation mobility system

Simcox, Scott; Parker, Simon; Davis, Glen M.; Smith, Richard; Middleton, James

doi:10.1016/j.jbiomech.2004.05.026

Cited by 38 publications

(28 citation statements)

References 15 publications

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“…In all cases, the system compares well with manual measurements and with other published results for equivalent systems, e.g., [21]. While our system shows the potential of an automated marker-free system, a number of improvements have been identified.…”

Section: Discussionsupporting

confidence: 70%

A Monocular Marker-Free Gait Measurement System

Courtney¹,

Paor

2010

IEEE Trans. Neural Syst. Rehabil. Eng.

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Abstract-This paper presents a new, user-friendly, portable motion capture and gait analysis system for capturing and analyzing human gait, designed as a telemedicine tool to monitor remotely the progress of patients through treatment. The system requires minimal user input and simple single-camera filming (which can be acquired from a basic webcam) making it very accessible to nontechnical, nonclinical personnel. This system can allow gait studies to acquire a much larger data set and allow trained gait analysts to focus their skills on the interpretation phase of gait analysis. The design uses a novel motion capture method derived from spatiotemporal segmentation and model-based tracking. Testing is performed on four monocular, sagittal-view, sample gait videos. Results of modeling, tracking, and analysis stages are presented with standard gait graphs and parameters compared to manually acquired data.

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Section: Discussionsupporting

confidence: 70%

A Monocular Marker-Free Gait Measurement System

Courtney¹,

Paor

2010

IEEE Trans. Neural Syst. Rehabil. Eng.

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“…Determining this element is difficult, based on the accelerometer output alone. However, concurrent data collection with rate gyroscopes can provide added detail on the orientation of the accelerometer [14][15][16][17][18][19], and thus enhances the possibility of correcting for the effects of gravity.…”

Section: Gravitymentioning

confidence: 99%

“…The determination of foot contact events from trunk acceleration data carries potential for the development of neuromuscular electrical stimulators [15,111]. Willemsen et al [112] provide evidence that a stance-swing phase sensor based on an accelerometer attached to the shank may be combined with a peroneal nerve stimulator in a single device.…”

Section: Temporospatial Gait Parametersmentioning

confidence: 99%

Accelerometry: A technique for quantifying movement patterns during walking

2008

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Section: Introductionmentioning

confidence: 99%

“…Patients with pathologic gait suffer from higher energy consumption and risk of falls. Gait analysis and event detection has been used in different applications using ambulatory gait systems to evaluate and improve patients' motilities and to control the functional electrical stimulation (FES) [1][2][3].Gait events can be detected using either force based measurement systems by means of footswitches such as force sensitive resistors (FSR) [4], or wearable sensor such as Inertia Measurement Unit (IMU) [5]. To perform outdoor activities for longer period of time, it is crucial to use the systems which are reliable, portable, small, inexpensive, and with low power consumption [6][7][8].…”

mentioning

confidence: 99%

Heuristic based gait event detection for human lower limb movement

Zakria

Maqbool

Hussain

et al. 2017

2017 IEEE EMBS International Conference on Biomedical &Amp; Health Informatics (BHI)

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Abstract-Gait event detection is important for intent predication in lower limb prostheses and exoskeletons during different activities. Human gait cycle is divided into two main phases i.e. swing phase and stance phase. Initial contact (IC) with the ground indicate the start of stance phase while Toe Off (TO) is the start of swing phase. This article presents algorithm based on set of heuristic rules for gait event detection using a single gyroscope attached on shank of subjects performing activities of daily living such as normal walking, fast walking, ramp ascending and ramp descending. The algorithm sequentially detected gait events like IC, TO, Midswing (MSw) and Midstance (MSt). Results were compared with the reference pressure measurement system using Flexiforce footswitches (FSW). The mean difference error between the reference and proposed system was for IC is about +4ms and for TO is about -6.5ms. The results showed that proposed algorithm achieved high detection performance compared to the existing algorithms and will lead to powerful tool to develop an intent recognition system for lower limb amputees. I. INTRODUCTIONLocomotion is crucial for human during activities of daily living (ADLs) as it plays an important role in gait efficiency and task progression. Patients with pathologic gait suffer from higher energy consumption and risk of falls. Gait analysis and event detection has been used in different applications using ambulatory gait systems to evaluate and improve patients' motilities and to control the functional electrical stimulation (FES) [1][2][3].Gait events can be detected using either force based measurement systems by means of footswitches such as force sensitive resistors (FSR) [4], or wearable sensor such as Inertia Measurement Unit (IMU) [5]. To perform outdoor activities for longer period of time, it is crucial to use the systems which are reliable, portable, small, inexpensive, and with low power consumption [6][7][8].Many researchers have used wearable sensors (accelerometers and gyroscopes) for analysis of spatiotemporal gait parameters during ADLs [9,[20][21]. Gyroscopes have been applied for detecting the gait events for triggering [10] amputees [20]. Locating the gyroscope on shank has many advantages as opposed to other parts of the human body [12], such as less soft tissue muscles at shank compared to thigh. In addition, gyroscope placed at shank is acceptable accurately in healthy and pathological subjects [13,14].Sabatini et al.[15] developed a gait event detection system for analysis of incline walking based on a single gyroscope attached on the foot of healthy subjects. However, placing gyroscope on shank provides ease of use as compared to its placement on foot as it provides less signal variability between the subjects. P. Catalfamo et al.[16] used a single gyroscope placed on the shank for detection of initial contact (IC) and foot off (FO) in subjects walking up and down on inclined surface and level ground. The results were compared with a reference system of foot ...

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Performance of orientation sensors for use with a functional electrical stimulation mobility system

Cited by 38 publications

References 15 publications

A Monocular Marker-Free Gait Measurement System

A Monocular Marker-Free Gait Measurement System

Accelerometry: A technique for quantifying movement patterns during walking

Heuristic based gait event detection for human lower limb movement

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