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Levi J. Hargrove
Northwestern University
174Publications
29H-index
3,438Citations
Publications 174
Newest
Published on Mar 5, 2019in Journal of Neuroengineering and Rehabilitation3.58
Joseph V. Kopke (NU: Northwestern University), Levi J. Hargrove29
Estimated H-index: 29
(NU: Northwestern University),
Michael D. Ellis14
Estimated H-index: 14
(American Physical Therapy Association)
Background Abnormal synergy is a major stroke-related movement impairment that presents as an unintentional contraction of muscles throughout a limb. The flexion synergy, consisting of involuntary flexion coupling of the paretic elbow, wrist, and fingers, is caused by and proportional to the amount of shoulder abduction effort and limits reaching function. A wearable exoskeleton capable of predicting movement intent could augment abduction effort and therefore reduce the negative effects of dist...
Published on Jan 16, 2019in Journal of Neuroengineering and Rehabilitation3.58
Richard B. Woodward1
Estimated H-index: 1
(NU: Northwestern University),
Levi J. Hargrove29
Estimated H-index: 29
(NU: Northwestern University)
Background Pattern recognition technology allows for more intuitive control of myoelectric prostheses. However, the need to collect electromyographic data to initially train the pattern recognition system, and to re-train it during prosthesis use, adds complexity that can make using such a system difficult. Although experienced clinicians may be able to guide users to ensure successful data collection methods, they may not always be available when a user needs to (re)train their device.
Published on Jan 1, 2018in IEEE Transactions on Biomedical Engineering4.49
Mariah W. Whitmore1
Estimated H-index: 1
(NU: Northwestern University),
Levi J. Hargrove29
Estimated H-index: 29
(Rehabilitation Institute of Chicago),
Eric J. Perreault30
Estimated H-index: 30
(NU: Northwestern University)
Objective: This study investigated the consequences of reduced ankle muscle activity on slippery surfaces. We hypothesized that reduced activation would reduce shear forces and ankle impedance to improve contact and reduce slip potential. Methods: Data were collected from unimpaired adults walking across non-slippery and slippery walkways. Set within the walkway was a robotic platform with an embedded force plate for collecting shear forces and estimating the mechanical impedance of the ankle; i...
Ann M. Simon17
Estimated H-index: 17
(NU: Northwestern University),
Kristi Turner2
Estimated H-index: 2
(Rehabilitation Institute of Chicago)
+ 2 AuthorsTodd A. Kuiken40
Estimated H-index: 40
(NU: Northwestern University)
Published on May 1, 2019in Nature Biomedical Engineering
Limei Tian22
Estimated H-index: 22
(A&M: Texas A&M University),
Benjamin Zimmerman5
Estimated H-index: 5
(UIUC: University of Illinois at Urbana–Champaign)
+ 26 AuthorsYuhao Liu22
Estimated H-index: 22
(UIUC: University of Illinois at Urbana–Champaign)
Published on Apr 1, 2019in IEEE-ASME Transactions on Mechatronics4.94
Tommaso Lenzi20
Estimated H-index: 20
(UofU: University of Utah),
Marco Cempini10
Estimated H-index: 10
+ 1 AuthorsTodd A. Kuiken40
Estimated H-index: 40
(NU: Northwestern University)
Robotic ankle prostheses can imitate the biomechanical function of intact legs at the cost of a larger weight and size compared to conventional passive prostheses. Unfortunately, increased weight and size negatively affect comfort and socket stability, ultimately limiting their clinical viability. Alternatively, a nonbackdrivable transmission system can be used to actively regulate the ankle position during nonweight bearing activities only. This semiactive design can be made smaller and lighter...
Published on Apr 1, 2019in Nature Biomedical Engineering
Limei Tian22
Estimated H-index: 22
(A&M: Texas A&M University),
Benjamin Zimmerman5
Estimated H-index: 5
(UIUC: University of Illinois at Urbana–Champaign)
+ 26 AuthorsJinghua Li3
Estimated H-index: 3
(UIUC: University of Illinois at Urbana–Champaign)
In Fig. 4c of this Article originally published, the bottom y axis was incorrectly labelled as ‘MRI–ECG (μV)’; the correct label is ‘MRI/ECG’. In addition, in Fig. 4d, the bottom y axis was incorrectly labelled as ‘ECG (μV)’; the correct label is ‘ECG (mV)’. The scale bar units were also incorrectly stated as ‘mV’, the correct units are ‘μV’. The figure has now been amended accordingly.
Published on Mar 1, 2019
Iason Batzianoulis2
Estimated H-index: 2
(EPFL: École Polytechnique Fédérale de Lausanne),
Annie Simon2
Estimated H-index: 2
(NU: Northwestern University)
+ 1 AuthorsAude Billard49
Estimated H-index: 49
(EPFL: École Polytechnique Fédérale de Lausanne)
Published on Mar 1, 2019in Nature Biomedical Engineering
Limei Tian22
Estimated H-index: 22
(A&M: Texas A&M University),
Benjamin Zimmerman5
Estimated H-index: 5
(UIUC: University of Illinois at Urbana–Champaign)
+ 26 AuthorsJinghua Li3
Estimated H-index: 3
(UIUC: University of Illinois at Urbana–Champaign)
Skin-interfaced medical devices are critically important for diagnosing disease, monitoring physiological health and establishing control interfaces with prosthetics, computer systems and wearable robotic devices. Skin-like epidermal electronic technologies can support these use cases in soft and ultrathin materials that conformally interface with the skin in a manner that is mechanically and thermally imperceptible. Nevertheless, schemes so far have limited the overall sizes of these devices to...
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