Real-time gait event detection for transfemoral amputees during ramp ascending and descending

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Husman

Awad

et al. 2016

Self Cite

ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Overall, detection accuracy was 99.78% for all the events in both groups. Based on the validated results, the proposed system can be used to accurately detect the temporal gait events in real-time that leads to the detection of gait phase system and therefore, can be utilized in gait analysis applications and the control of lower limb prostheses.

Section: B Experimental Protocolmentioning

confidence: 99%

“…Many control algorithms have been implemented using wearable sensors for accurate detection of gait events/phases based on threshold values, wavelet transformation and machine learning techniques [8][9][10][11][12][13][14][15]. The processing time for rule-based (threshold based approach) is faster than machine learning techniques.…”

Section: Introductionmentioning

confidence: 99%

Real-time gait event detection for lower limb amputees using a single wearable sensor

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Husman

Awad

et al. 2016

Self Cite

“…2) by applying rule-based algorithm on the gyroscope signal obtained during level ground walking and ramp ascending/descending for healthy and amputee subjects. [15,16] Placement of haptic actuator will require different strategies based on various amputation level. For transtibial amputee, it is possible to place the actuator on the residual limb around the thigh area.…”

Section: A Feedback Schemementioning

confidence: 99%

“…1 shows the feedback scheme for the overall system design. Single wireless Inertial Measurement Unit (IMU) attached on the shank developed in our previous work [15,16] will be used to identify gait events. The system demonstrated successful real-time detection of toe-off (TO) and initial contact (IC) events (Fig.…”

Section: A Feedback Schemementioning

confidence: 99%

A wearable skin stretch haptic feedback device: Towards improving balance control in lower limb amputees

Husman

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Awad

et al. 2016

Self Cite

Abstract-Haptic feedback to lower limb amputees is essential to maximize the functionality of a prosthetic device by providing information to the user about the interaction with the environment and the position of the prostheses in space. Severed sensory pathway and the absence of connection between the prosthesis and the Central Nervous System (CNS) after lower limb amputation reduces balance control, increases visual dependency and increases risk of falls among amputees. This work describes the design of a wearable haptic feedback device for lower limb amputees using lateral skin-stretch modality intended to serve as a feedback cue during ambulation. A feedback scheme was proposed based on gait event detection for possible real-time postural adjustment. Preliminary perceptual test with healthy subjects in static condition was carried out and the results indicated over 98% accuracy in determining stimuli location around the upper leg region, suggesting good perceptibility of the delivered stimuli.

“…The system detected IC and TO during gait on tactile paving, smooth, flat and inclined, terrains. However, the system is based on accelerometer which may be affected by gravity thereby contain high frequency components [19]. The electrodes used in this experiment were non-contact with the skin and were fixed on specially designed cuffs.…”

mentioning

confidence: 99%

Heuristic based gait event detection for human lower limb movement

Zakria

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

Hussain

et al. 2017

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 ...