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Some more precision on the manuscript. (Jean-Francois Lemay, 16 June 2014)

We have recently noticed some additional errors on the manuscript. Though these errors do not change the results and their interpretation, we would like to indicate them to the readers in order to better clarify our... read full comment

Comment on: Lemay et al. Journal of NeuroEngineering and Rehabilitation, 11:8

'Minding' our steps (Peter Wayne, 12 May 2014)

Preventing falls among older adults is an urgent public health challenge worldwide with significant direct and indirect costs to society. This challenge has led to extensive efforts to improve our understanding of the complex physiology underlying age-related decline of postural control, to identify interventions to reduce the risk of falling in adults, and to develop markers to accurately measure the short- and long-term impact of interventions targeting gait health and fall risk.  The study by Mirelman and colleagues (JNER, 2014) combines a thoughtful experimental design with emerging functional neuroimaging technology to understand important cognitive processes related postural control during dual task gait and balance challenges in healthy younger adults.  Their approach and... read full comment

Comment on: Mirelman et al. Journal of NeuroEngineering and Rehabilitation, 11:85

Toward daily-life assessment of rehabilitation treatments translation (Alessandra Pedrocchi, 31 October 2013)

This Paper proposes a method to evaluate motor capacity and its possible changes using wearable... read full comment

Comment on: Strohrmann et al. Journal of NeuroEngineering and Rehabilitation, 10:83

Surface EMG Pattern Recognition after Stroke: Time to Move in Another Direction? (Joel Stein, 13 August 2013)

This paper by Cesqui et al. addresses an important issue in rehabilitation robotics: the utility of surface EMG (sEMG) signals to determine intended movement trajectory in hemiparetic stroke survivors. Ascertaining this intended movement from sEMG signals has the potential to improve the training and feedback provided by robots. Cesqui et al.'s findings have important implications for further research in this field.... read full comment

Comment on: Cesqui et al. Journal of NeuroEngineering and Rehabilitation, 10:75

Comment on Moreno et al. (David Reinkensmeyer, 12 August 2013)

Engineers and clinicians currently design robotic control algorithms for promoting neurorehabilitation in an ad-hoc manner because we still don't fully understand the fundamental structure of human motor control, neuroplasticity, and motor learning. If we better understood this structure, we could in principle mathematically derive the control algorithms that would help robotic devices help patients to optimize motor recovery. In this paper, Moreno et al. take a step forward in identifying the structure of control during walking in the most widely used robotic gait training device, the... read full comment

Comment on: Moreno et al. Journal of NeuroEngineering and Rehabilitation, 10:79

Application of iPhone for ROM (Pouran Faghri, 12 August 2013)

The purpose of this manuscript was to evaluate the reliability and validity of two iPhone applications aimed to measure cervical range of motion (ROM). To measure the frontal and sagittal ROM, the authors utilized the Clinometer application (Peter Breitling, Version 3.3, http://www.plaincode.com/products). To measure the cervical ROM, they utilized Compass, a software application previously integrated in the iPhone. Validity was assessed against the gold standard in measuring ROM: the Cervical ROM Device... read full comment

Comment on: Tousignant-Laflamme et al. Journal of NeuroEngineering and Rehabilitation, 10:69

Are smartphones a smart way to go? (Jeffrey Hausdorff, 20 February 2012)

Technology that enables clinicians and researchers to quantify and treat balance and gait problems is rapidly evolving. For a long time, laboratory-based, specialized equipment that included multiple cameras and embedded force platforms were the heart and soul of the analysis of gait and balance. Many treatments were also centered around these powerful technologies. Over the past two decades or so, much effort has been invested into the use of wearable computers, also commonly referred to as body-fixed sensors. Advantages of an approach based on body-fixed sensors include cost and space, and the possibility of bringing the measurement system to the patient and clinic rather than the other way around. An additional key advantage is the potential for long-term recordings that may more closely... read full comment

Comment on: Lee et al. Journal of NeuroEngineering and Rehabilitation, 9:10

An interesting and important contribution to gait retraining after stroke (Alberto Esquenazi, 13 February 2012)

The study is retrospective and has some methodological weakness but even with this the authors bring forward a proposal for an innovative therapeutic approach namely "Body Weight Supported Robotic Gait Training" that is of value particularly in the early phase of rehabilitation when patients are limited by their capacity to participate in high intensity, high repetition walking as a therapeutic... read full comment

Comment on: Conesa et al. Journal of NeuroEngineering and Rehabilitation, 9:13

Comment on Belda-Lois et al. (william rymer, 23 January 2012)

This review focuses on assessing the impact of a wide range of rehabilitation therapies promoting gait recovery after hemispheric stroke. The review emphasizes the role of reorganizing the central nervous system in promoting gait recovery, by contrasting this approach with classical therapies targeting peripheral neuromuscular interventions. The review is detailed, broad and... read full comment

Comment on: Belda-Lois et al. Journal of NeuroEngineering and Rehabilitation, 8:66

Reassessing standardised outcome measures (Caoimhe Bennis, 30 November 2011)

It is of utmost importance that we reassess the standard in clinical outcome measures. Many of the scales used in the clinical setting are considered by therapists to be outdated, unreliable and time consuming.... read full comment

Comment on: Persson et al. Journal of NeuroEngineering and Rehabilitation, 8:57