Article
Engineering, Biomedical
Ismail Devecioglu
Summary: This study tested the forearm skin as a target organ for delivering proprioceptive feedback. The results showed that visual feedback yielded the best performance, followed by tactile feedback, and no feedback yielded the worst performance. Subjects performed similarly with dorsal and volar tactile feedback, and the movement speed had no significant effect on tactile feedback.
ANNALS OF BIOMEDICAL ENGINEERING
(2022)
Article
Engineering, Biomedical
A. E. Pena, J. J. Abbas, R. Jung
Summary: The study developed a surface stimulation strategy that can activate deep nerves while reducing localized discomfort, the CHIPS technique can generate more comfortable sensations during stimulation.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Jie Zhang, Manzhao Hao, Fei Yang, Wenyuan Liang, Aiping Sun, Chi-Hong Chou, Ning Lan
Summary: This study examines the consistency of percepts and qualities elicited by TENS at multiple stimulation sites in amputees retaining ETS. The results show that vibration and buzz sensations are consistently evoked as dominant sensation types. Perceptual thresholds of different sensations follow a similar strength-duration curve relating stimulus amplitude to pulse width. The consistency in perceptual qualities can be exploited for coding multi-modality sensory feedback.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Engineering, Biomedical
Lauren Chee, Giacomo Valle, Michele Marazzi, Greta Preatoni, Florian L. Haufe, Michele Xiloyannis, Robert Riener, Stanisa Raspopovic
Summary: This study presents a non-invasive neurostimulation system that can encode foot-ground and knee angle information, leading to decreased metabolic consumption and increased prosthesis confidence in lower-limb amputees. The system also promotes more physiological walking strategies and increased stability in response to external perturbations.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Biochemistry & Molecular Biology
Greta Preatoni, Giacomo Valle, Francesco M. Petrini, Stanisa Raspopovic
Summary: The study found that providing intraneural sensory feedback can significantly reduce amputees' perception of prosthetic weight, while increasing embodiment and confidence in walking with the prosthesis. Sensory feedback also helps alleviate the reduction in walking speed and accuracy caused by increased cognitive load.
Article
Multidisciplinary Sciences
Eric J. Earley, Reva E. Johnson, Jonathon W. Sensinger, Levi J. Hargrove
Summary: This study tested an artificial sensory feedback system providing joint speed information and its impact on performance and adaptation during a hybrid positional-and-myoelectric ballistic reaching task. The results showed that overall reaching errors were reduced after perturbed control, but steady-state reaching did not significantly improve. Additionally, feedback about joint speed of myoelectric prosthesis control improved adaptation rate of biological limb movements, potentially due to high prosthesis control noise and strategic overreaching with positional control and underreaching with myoelectric control.
SCIENTIFIC REPORTS
(2021)
Article
Clinical Neurology
P. Amol Yadav, Shuangyan Li, O. Max Krucoff, A. Mikhail Lebedev, M. Muhammad Abd-El-Barr, A. L. Miguel Nicolelis
Summary: The research shows that different sensory experiences can be evoked by varying the intensity, temporal pattern, and location of spinal cord stimulation; animals can be trained to detect and discriminate different patterns of spinal cord stimulation; the results suggest that spinal cord stimulation can provide intuitive sensory feedback in neuroprosthetic devices.
Article
Multidisciplinary Sciences
Giacomo Valle, Albulena Saliji, Ezra Fogle, Andrea Cimolato, Francesco M. Petrini, Stanisa Raspopovic
Summary: Above-knee amputees often lack sensory information even with advanced prostheses. Restoring intraneural sensory feedback through neuro-robotic legs can lead to improved sensorimotor strategies and higher walking speeds. By objectively quantifying the confidence of the augmented prosthesis, researchers observed a reshaping of the legs' kinematics towards a more natural gait, indicating potential effectiveness for future neuro-robotic prostheses.
Article
Chemistry, Analytical
Emre Sariyildiz, Fergus Hanss, Hao Zhou, Manish Sreenivasa, Lucy Armitage, Rahim Mutlu, Gursel Alici
Summary: This study proposes a new hybrid multi-modal sensory feedback system for prosthetic hands that can provide haptic and proprioceptive feedback and facilitate object recognition without vision. The system performance was evaluated in three experiments and showed effectiveness in haptic perception, proprioceptive feedback, and object recognition.
Article
Engineering, Biomedical
David M. Page, Jacob A. George, Suzanne M. Wendelken, Tyler S. Davis, David T. Kluger, Douglas T. Hutchinson, Gregory A. Clark
Summary: Electrical stimulation of residual nerves can generate artificial sensations in amputees, which can be successfully discriminated based on location, quality, and intensity. This rich source of artificial sensory feedback has the potential to enhance functional performance and embodiment of bionic arms endowed with a sense of touch.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Engineering, Biomedical
Ali Asghar Zarei, Armita Faghani Jadidi, Eugen Romulus Lontis, Winnie Jensen
Summary: TENS has been reported to alleviate pain by cortical inhibition, and high-frequency TENS intervention significantly suppresses cortical activity and reduces the intensity and area size of perceived sensations.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Engineering, Biomedical
Leen Jabban, Benjamin W. Metcalfe, Jonathan Raines, Dingguo Zhang, Ben Ainsworth
Summary: This study provides a mixed-methods research on the sensory feedback needs of adults with upper-limb differences, enabling a deeper understanding of their expectations and worries. Guiding principles were developed based on the results of a survey and interviews to inform the development and assessment of sensory feedback for upper-limb prostheses.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2022)
Article
Engineering, Biomedical
Yan Li, Li Fellabder-Tsai
Summary: Bone anchored prostheses have rapidly developed in the field of orthopedics and traumatology over the past 50 years, with dozens of centers worldwide providing services. Compared to traditional socket prostheses, bone anchored prostheses offer avoidance of soft tissue-related issues, physiological weight bearing, improved range of motion, and sensory feedback, all contributing to improved quality of life for amputees.
Article
Engineering, Biomedical
T. Krauskopf, T. B. Lauck, L. Klein, M. Beusterien, M. Mueller, V. Von Tscharner, C. Mehring, G. W. Herget, T. Stieglitz, C. Pasluosta
Summary: This study investigated the co-activation of lower body muscles in patients with lower limb amputation and how it is modulated by visual feedback. The findings suggest the development of neuromuscular adaptations reflected in the strength and dynamics of muscular co-activation in these patients.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Neurosciences
Courtney E. Shell, Breanne P. Christie, Paul D. Marasco, Hamid Charkhkar, Ronald J. Triolo
Summary: Research shows that electrical stimulation or vibration on the foot can lead to postural adjustments in lower-limb amputees, demonstrating their importance in maintaining stability during standing.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Claes Hakansson, Gustav Torisson, Elisabet Londos, Oskar Hansson, Isabella M. Bjorkman-Burtscher, Danielle van Westen
Summary: This study found that introducing a template for radiological reporting of NECT in the primary care diagnostic work up of cognitive impairment significantly increased the mentioning of MTA, WMC, and GCA in radiology reports, as well as the percentage of reports where all parameters were mentioned. The findings suggest that using contextual radiological assessment with VRS could increase the reporting frequency of radiology findings in the diagnostic work up of cognitive impairment, but compliance with templates may be difficult to endorse.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Andrew J. Fagan, Andreas K. Bitz, Isabella M. Bjorkman-Burtscher, Christopher M. Collins, Vera Kimbrell, Alexander J. E. Raaijmakers
Summary: 7T MRI/MRS represents an exciting advance in MR technology, but safety concerns related to the increased magnetic field strength and higher Larmor frequency must be addressed to ensure safe use of this technology.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Review
Clinical Neurology
Giske Opheim, Anja van der Kolk, Karin Markenroth Bloch, Albert J. Colon, Kathryn A. Davis, Thomas R. Henry, Jacobus F. A. Jansen, Stephen E. Jones, Jullie W. Pan, Karl Rossler, Joel M. Stein, Maria C. Strandberg, Siegfried Trattnig, Pierre-Francois Van de Moortele, Maria Isabel Vargas, Irene Wang, Fabrice Bartolomei, Neda Bernasconi, Andrea Bernasconi, Boris Bernhardt, Isabella Bjorkman-Burtscher, Mirco Cosottini, Sandhitsu R. Das, Lucie Hertz-Pannier, Sara Inati, Michael T. Jurkiewicz, Ali R. Khan, Shuli Liang, Ruoyun Emily Ma, Srinivasan Mukundan, Heath Pardoe, Lars H. Pinborg, Jonathan R. Polimeni, Jean-Philippe Ranjeva, Esther Steijvers, Steven Stufflebeam, Tim J. Veersema, Alexandre Vignaud, Natalie Voets, Serge Vulliemoz, Christopher J. Wiggins, Rong Xue, Renzo Guerrini, Maxime Guye
Summary: Identifying structural brain lesions on MRI is crucial in the treatment of epilepsy, especially after surgery. Although 7T MRI has shown additional value compared to conventional field strengths like 1.5 and 3T, its implementation in clinical practice remains challenging.
Article
Engineering, Biomedical
Alexander E. Olsson, Nebojsa Malesevic, Anders Bjorkman, Christian Antfolk
Summary: The proposed Myoelectric Representation Learning (MRL) framework outperformed the standard Linear Discriminant Analysis (LDA) framework in terms of online performance metrics and temporal stability when applied to myoelectric control interfaces. The results suggest that MRL can generate stable mappings from EMG to kinematics, enabling real-time myoelectric control with superior performance compared to LDA, indicating its potential practical utility for muscle-computer interfaces.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2021)
Article
Multidisciplinary Sciences
Nebojsa Malesevic, Alexander Olsson, Paulina Sager, Elin Andersson, Christian Cipriani, Marco Controzzi, Anders Bjoerkman, Christian Antfolk
Summary: This study aims to provide an annotated database of high-density surface electromyographic signals to aid in designing robust and versatile electromyographic control interfaces for prosthetic hands. Participants performed 65 different hand gestures while various quantitative assessments were conducted to evaluate the quality of the recorded signals, including frequency content analysis, channel crosstalk, and detection of poor skin-electrode contacts.
Article
Radiology, Nuclear Medicine & Medical Imaging
Simon Gotestrand, Anders Bjorkman, Isabella M. Bjorkman-Burtscher, Ingvar Kristiansson, Elenya Aksyuk, Pawel Szaro, Karin Markenroth Bloch, Mats Geijer
Summary: Compared to 3T MR, visualization of anatomical structures at 7T showed significantly higher visibility of cartilage, trabecular bone, tendons, nerves, and ligaments. Image quality was also significantly superior at 7T, except for artefacts.
EUROPEAN RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
B. Hansson, M. Simic, J. Olsrud, K. Markenroth Bloch, T. Owman, P. C. Sundgren, I. M. Bjorkman-Burtscher
Summary: This study evaluates a multi-step MR safety screening process at a 7T facility and finds that it effectively detects different types of safety risks, thereby avoiding safety incidents. The repetition and rephrasing of screening questions contribute to increased detection of safety risks.
Article
Chemistry, Analytical
Nebojsa Malesevic, Anders Bjorkman, Gert S. Andersson, Christian Cipriani, Christian Antfolk
Summary: This paper evaluates fourteen common algorithms for the direct and proportional control of a prosthetic hand. The estimation of forces generated in the hand using different algorithms is compared to the measured forces, providing a baseline performance metric for more advanced algorithms.
Article
Clinical Neurology
Ariadne Zampeli, Boel Hansson, Karin Markenroth Bloch, Elisabet Englund, Kristina Kallen, Maria Compagno Strandberg, Isabella M. Bjorkman-Burtscher
Summary: This study analyzed the structural characteristics of malformations of cortical development (MCD) using 7T and 3T MRI and found that 7T MRI can reveal subtle connections between heterotopia and previously unidentified pathology in overlaying cortex.
SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
(2022)
Article
Computer Science, Interdisciplinary Applications
Jonathan Lundsberg, Anders Bjorkman, Nebojsa Malesevic, Christian Antfolk
Summary: This study proposes a new automatic decomposition method for high-density surface electromyography (HDsEMG) that can better estimate the distribution of motor unit action potentials (MUAP) and identify more motor units. By using compression and clustering techniques, the method significantly improves the decomposition performance. Validation results demonstrate good performance of the proposed method on both simulated data and experimental data.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Neurosciences
Robin Rohlen, Christian Antfolk, Christer Gronlund
Summary: This study optimized and evaluated the methods for identifying and analyzing motor units (MUs) using imaging techniques. The results showed that the Haar wavelet transform (HWM) is a better method for estimating spikes compared to the band-pass filter (BPM), as it demonstrated higher agreement with simulated and experimental spikes, as well as less bias and variation.
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY
(2022)
Article
Physiology
Tanya Subash, Ann David, StephenSukumaran ReetaJanetSurekha, Sankaralingam Gayathri, Selvaraj Samuelkamaleshkumar, Henry Prakash Magimairaj, Nebojsa Malesevic, Christian Antfolk, Varadhan Skm, Alejandro Melendez-Calderon, Sivakumar Balasubramanian
Summary: This study compares and analyzes various measures for quantifying upper limb use and finds that machine learning methods perform better than traditional methods in detecting upper limb use. Additionally, the study reveals the information used by machine learning methods and the influence of data on their performance.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Medicine, General & Internal
Cecilia Brannmark, Sofia Klasson, Tara M. Stanne, Hans Samuelsson, Margit Alt Murphy, Katharina S. Sunnerhagen, N. David Aberg, Oscar Jalnefjord, Isabella Bjorkman-Burtscher, Katarina Jood, Turgut Tatlisumak, Christina Jern
Summary: This study aims to explore the trajectories of recovery and biomarkers after stroke by evaluating stroke patients using various methods. A total of 500 first-ever stroke patients from the stroke unit at the Sahlgrenska University Hospital in Sweden are involved in the study. The evaluation includes clinical assessments, neuroimaging, and blood sample analysis, and the study also records clinical variables that may influence recovery outcomes. The results of this study will provide novel data on stroke recovery and biomarkers.
Article
Health Care Sciences & Services
Boel Hansson, Matea Simic, Johan Olsrud, Karin Markenroth Bloch, Titti Owman, Pia C. Sundgren, Isabella M. Bjorkman-Burtscher
Summary: This study evaluated compliance with a structured MR-safety screening process. The results showed that documentation of the screening process was incomplete in approximately 19% of subjects, with omitted answers mainly related to administrative and MR-safety issues.
JOURNAL OF PATIENT SAFETY AND RISK MANAGEMENT
(2022)
Proceedings Paper
Engineering, Biomedical
Alexander E. Olsson, Nebojsa Malesevic, Anders Bjorkman, Christian Antfolk
Summary: This study introduces a technique to synthesize electromyography (EMG) data related to multi-degrees of freedom (DoF) motions using generative deep learning models, aiming to simplify the calibration process for multifunctional prosthetic hands. Experimental results show that this method significantly improves the performance of classifiers, demonstrating the potential to simulate real-time training data for multi-articulate motions.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
(2021)
