Evaluation of a single accelerometer based biofeedback system for real-time correction of neck posture in computer users

Breen, Paul P.; Nisar, A.; ÓLaighin, Gearóid

doi:10.1109/iembs.2009.5334726

Cited by 46 publications

(45 citation statements)

References 17 publications

(16 reference statements)

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“…Breen et al [70] used a biofeedback system which used a single accelerometer to correct neck posture in computer users. Crowell and colleagues [71] found that individuals can use real-time feedback of tibial acceleration from an accelerometer to reduce loading on their lower extremities while running and they can maintain the reductions for at least ten minutes after the feedback is removed.…”

Section: Biomechanical Biofeedbackmentioning

confidence: 99%

Biofeedback in rehabilitation

Giggins

Persson

Caulfield

2013

J NeuroEngineering Rehabil

510

324

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This paper reviews the literature relating to the biofeedback used in physical rehabilitation. The biofeedback methods used in rehabilitation are based on biomechanical measurements and measurements of the physiological systems of the body. The physiological systems of the body which can be measured to provide biofeedback are the neuromuscular system, the respiratory system and the cardiovascular system. Neuromuscular biofeedback methods include electromyography (EMG) biofeedback and real-time ultrasound imaging (RTUS) biofeedback. EMG biofeedback is the most widely investigated method of biofeedback and appears to be effective in the treatment of many musculoskeletal conditions and in post cardiovascular accident (CVA) rehabilitation. RTUS biofeedback has been demonstrated effective in the treatment of low back pain (LBP) and pelvic floor muscle dysfunction. Cardiovascular biofeedback methods have been shown to be effective in the treatment of a number of health conditions such as hypertension, heart failure, asthma, fibromyalgia and even psychological disorders however a systematic review in this field has yet to be conducted. Similarly, the number of large scale studies examining the use of respiratory biofeedback in rehabilitation is limited. Measurements of movement, postural control and force output can be made using a number of different devices and used to deliver biomechanical biofeedback. Inertial based sensing biofeedback is the most widely researched biomechanical biofeedback method, with a number of studies showing it to be effective in improving measures of balance in a number of populations. Other types of biomechanical biofeedback include force plate systems, electrogoniometry, pressure biofeedback and camera based systems however the evidence for these is limited. Biofeedback is generally delivered using visual displays, acoustic or haptic signals, however more recently virtual reality (VR) or exergaming technology have been used as biofeedback signals. VR and exergaming technology have been primarily investigated in post-CVA rehabilitation, however, more recent work has shown this type of biofeedback to be effective in improving exercise technique in musculoskeletal populations. While a number of studies in this area have been conducted, further large scale studies and reviews investigating different biofeedback applications in different clinical populations are required.

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Section: Biomechanical Biofeedbackmentioning

confidence: 99%

Biofeedback in rehabilitation

Giggins

Persson

Caulfield

2013

J NeuroEngineering Rehabil

510

324

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“…In a study comfortable head and neck posture at computer workstations, Ankrum and Nemeth [43] suggested that the mean observed head tilt (Ear-Eye Line 7.7° above horizontal) and head/neck posture of 43.7° in C7-tragus against vertical are more flexed. Breen et al [11] measure head and neck angle by placing an accelerometer device at the C7 vertebrae directly, as measuring the cranial-vertebral angle.…”

Section: Biofeedbackmentioning

confidence: 99%

“…The investigation results on the effects of biofeedback on the sitting posture of a 14-year-old girl with cerebral palsy indicate a significant improvement in posture [10]. Breen et al [11] develop a biofeedback system for real-time correction of neck posture in computer users. All the six subjects have a significant decrease in the percentage of time spent in bad posture when using biofeedback.…”

Section: Introductionmentioning

confidence: 99%

Collaborative, Social-Networked Posture Training with Posturing Monitoring and Biofeedback

Liao¹

2018

Biofeedback

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This chapter presents an application of biofeedback techniques to train people to be aware of their bad posture to timely improve the posture. We design and develop a collaborative, social-networked posture training (CSPT) tool, which is composed of a sophisticated wearable posture training headset, a training belt, a social network App and cloud storage and computing services. The wearable posture training headset is equipped with real-time sensors to monitor head and neck posture. The training belt is used with a smartphone to monitor the lumbar-spine and low back posture. Biofeedbacks of sound, voice and vibration in the smartphone are sent to people to remind their poor posture. In the CSPT App, people can glance over their friends' posture performance to encourage good posture. Experiment results show that the proposed approach is very effective in increasing people's good posture percentage of time. Social support and peer influences are important and effective to encourage the people in maintaining good posture and in being willing to spend longer time in wearing the posture training tool.

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“…Research has also shown that sensor based feedback from an accelerometer can be given to subjects in order to modify their movement or behaviour. Reference [8] examined the use of a biofeedback system which used a single accelerometer to correct neck posture in computer users. Reference [9] found that real-time visual feedback from an accelerometer could be used to achieve immediate reductions in tibial acceleration and vertical-force loading rates and thus reducing that individual's risk of a stress fracture.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Rehabilitation Exercise Performance Using a Single Inertial Measurement Unit

Giggins¹,

Kelly²,

Caulfield³

2013

Proceedings of the ICTs for Improving Patients Rehabilitation Research Techniques

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Inertial measurement units (IMUs) may be used during exercise to provide feedback on exercise technique. However the number of IMUs that are required to deliver effective feedback during lower limb exercises has not yet been established. This preliminary investigation sought to investigate whether a single IMU on the shin is capable of identifying conditions of poor technique during seven lower limb exercises. Nine healthy volunteers (five male, four female, age: 26.3 ± 6.7 years, height: 1.77 ± 0.08m, weight: 73.4 ± 8.7 kg) performed the exercises firstly with correct technique and then with different conditions of poor technique. Acceleration and angular velocity were recorded from the IMU positioned on the shin during all exercise performance conditions. Maximum and minimum acceleration and angular velocity (in X, Y, Z) and the range of each were calculated for each condition. A paired t test was used to analyse whether there was a difference in the IMU parameters between the different exercise conditions. Joint range of motion at the hip, knee and ankle were calculated using data derived from a marker based motion analysis system in order to confirm that expected deviations had occurred. The data presented has revealed that a single IMU can be used to identify the conditions of poor technique during five of the seven exercises studied. This investigation provides preliminary evidence to suggest that one IMU placed on the shin can be used to identify poor technique during seven common rehabilitation exercises, however pattern recognition techniques must be developed in order to facilitate objective real time performance measurement and feedback.

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Evaluation of a single accelerometer based biofeedback system for real-time correction of neck posture in computer users

Cited by 46 publications

References 17 publications

Biofeedback in rehabilitation

Biofeedback in rehabilitation

Collaborative, Social-Networked Posture Training with Posturing Monitoring and Biofeedback

Evaluating Rehabilitation Exercise Performance Using a Single Inertial Measurement Unit

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