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https://www.readbyqxmd.com/read/28814041/assessing-bradykinesia-in-parkinson-s-disease-using-gyroscope-signals
#1
S Summa, J Tosi, F Taffoni, L Di Biase, M Marano, A Cascio Rizzo, M Tombini, G Di Pino, D Formica
Parkinson's disease (PD) is a neurodegenerative brain disorder that slowly brings on the dopaminergic neurons death. The depletion of the dopaminergic signal causes the onset of motor symptoms such as tremor, bradykinesia and rigidity. Usually, neurologists regularly monitor motor symptoms and motor fluctuations using the MDS-UPDRS part III clinical scale. Nevertheless, to have a more objective and quantitative evaluation, it is possible to assess the cardinal motor symptoms of PD using wearable sensors and portable robotic devices...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28814034/automated-assessment-of-symptom-severity-changes-during-deep-brain-stimulation-dbs-therapy-for-parkinson-s-disease
#2
Paolo Angeles, Yen Tai, Nicola Pavese, Samuel Wilson, Ravi Vaidyanathan
Deep brain stimulation (DBS) is currently being used as a treatment for symptoms of Parkinson's disease (PD). Tracking symptom severity progression and deciding the optimal stimulation parameters for people with PD is extremely difficult. This study presents a sensor system that can quantify the three cardinal motor symptoms of PD - rigidity, bradykinesia and tremor. The first phase of this study assesses whether data recorded from the system during physical examinations can be used to correlate to clinician's severity score using supervised machine learning (ML) models...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813981/a-magnetic-compatible-supernumerary-robotic-finger-for-functional-magnetic-resonance-imaging-fmri-acquisitions-device-description-and-preliminary-results
#3
Irfan Hussain, Emiliano Santarnecchi, Andrea Leo, Emiliano Ricciardi, Simone Rossi, Domenico Prattichizzo
The Supernumerary robotic limbs are a recently introduced class of wearable robots that, differently from traditional prostheses and exoskeletons, aim at adding extra effectors (i.e., arms, legs, or fingers) to the human user, rather than substituting or enhancing the natural ones. However, it is still undefined whether the use of supernumerary robotic limbs could specifically lead to neural modifications in brain dynamics. The illusion of owning the part of body has been already proven in many experimental observations, such as those relying on multisensory integration (e...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813964/brain-computer-interface-combining-eye-saccade-two-electrode-eeg-signals-and-voice-cues-to-improve-the-maneuverability-of-wheelchair
#4
Ker-Jiun Wang, Lan Zhang, Bo Luan, Hsiao-Wei Tung, Quanfeng Liu, Jiacheng Wei, Mingui Sun, Zhi-Hong Mao
Brain-computer interfaces (BCIs) largely augment human capabilities by translating brain wave signals into feasible commands to operate external devices. However, many issues face the development of BCIs such as the low classification accuracy of brain signals and the tedious human-learning procedures. To solve these problems, we propose to use signals associated with eye saccades and blinks to control a BCI interface. By extracting existing physiological eye signals, the user does not need to adapt his/her brain waves to the device...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813963/novel-neural-interface-electrode-array-for-the-peripheral-nerve
#5
Ockchul Kim, Wonsuk Choi, Woohyun Jung, Sunyoung Jung, HyungDal Park, Jong Woong Park, Jinseok Kim
Peripheral neural interface (PNI) is becoming an essential technology in the field of robotic prosthesis due to its potential for providing bidirectional neural signal communication between the prosthetic arm and the brain. However, current PNIs inefficiently trade off neural signal selectivity and the invasiveness of the device. We designed and fabricated a new PNI electrode array that has high signal selectivity yet maintains low invasiveness by incorporating a design that allows for three-dimensional spiral insertion around the peripheral nerve...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813949/monitoring-brain-potentials-to-guide-neurorehabilitation-of-tracking-impairments
#6
Boris Yazmir, Miriam Reiner
Motor impairments come in different forms. One class of motor impairments, relates to accuracy of tracking a moving object, as, for instance, when chasing in an attempt to catch it. Here we look at neural signals associated with errors in tracking, and the implications for brain-computer-interfaces that target impairment-tailored rehabilitation. As a starting point, we characterized EEG signals evoked by tracking errors during continuous natural motion, in healthy participants. Participants played a virtual 3D, ecologically valid haptic tennis game, and had to track a moving tennis ball in order to hit and send the ball towards the opponent's court...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813935/influence-of-artifacts-on-movement-intention-decoding-from-eeg-activity-in-severely-paralyzed-stroke-patients
#7
Eduardo Lopez-Larraz, Carlos Bibian, Niels Birbaumer, Ander Ramos-Murguialday
Brain-machine interfaces (BMI) can be used to control robotic and prosthetic devices for rehabilitation of motor disorders, such as stroke. The calibration of these BMI systems is of paramount importance in order to establish a precise contingent link between the brain activity related to movement intention and the peripheral feedback. However, electroencephalographic (EEG) activity, commonly used to build non-invasive BMIs, can be easily contaminated by artifacts of electrical or physiological origin. The way these interferences can affect the performance of movement intention decoders has not been deeply studied, especially when dealing with severely paralyzed patients, which often generate more artifacts by compensatory movements...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813934/a-hybrid-brain-machine-interface-based-on-eeg-and-emg-activity-for-the-motor-rehabilitation-of-stroke-patients
#8
Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Eduardo Lopez-Larraz, Carlos Bibian, Florian Helmhold, Doris Broetz, Niels Birbaumer, Ander Ramos-Murguialday
Including supplementary information from the brain or other body parts in the control of brain-machine interfaces (BMIs) has been recently proposed and investigated. Such enriched interfaces are referred to as hybrid BMIs (hBMIs) and have been proven to be more robust and accurate than regular BMIs for assistive and rehabilitative applications. Electromyographic (EMG) activity is one of the most widely utilized biosignals in hBMIs, as it provides a quite direct measurement of the motion intention of the user...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813929/soft-brain-machine-interfaces-for-assistive-robotics-a-novel-control-approach
#9
Lucia Schiatti, Jacopo Tessadori, Giacinto Barresi, Leonardo S Mattos, Arash Ajoudani
Robotic systems offer the possibility of improving the life quality of people with severe motor disabilities, enhancing the individual's degree of independence and interaction with the external environment. In this direction, the operator's residual functions must be exploited for the control of the robot movements and the underlying dynamic interaction through intuitive and effective human-robot interfaces. Towards this end, this work aims at exploring the potential of a novel Soft Brain-Machine Interface (BMI), suitable for dynamic execution of remote manipulation tasks for a wide range of patients...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813921/effect-on-the-classification-of-motor-imagery-in-eeg-after-applying-anodal-tdcs-with-a-4%C3%A3-1-ring-montage-over-the-motor-cortex
#10
I N Angulo-Sherman, M Rodriguez-Ugarte, E Ianez, M Ortiz, J M Azorin
Transcranial direct stimulation (tDCS) is a technique for modulating brain excitability that has potential to be used in motor neurorehabilitation by enhancing motor activity, such as motor imagery (MI). tDCS effects depend on different factors, like current density and the position of the stimulating electrodes. This study presents preliminary results of the evaluation of the effect of current density on MI performance by measuring right-hand/feet MI accuracy of classification from electroencephalographic (EEG) measurements after anodal tDCS is applied with a 4×1 ring montage over the right-hand or feet motor cortex...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813912/transverse-forces-versus-modified-ashworth-scale-for-upper-limb-flexion-extension-in-para-sagittal-plane
#11
Nitin Seth, Denise Johnson, Hussein A Abdullah
Spasticity is a common impairment following an upper motor neuron lesion in conditions such as stroke and brain injury. A clinical issue is how to best quantify and measure spasticity. Recently, research has been performed to develop new methods of spasticity quantification using various systems. This paper follows up on previous work taking a closer look at the role of transversal forces obtained via rehabilitation robot for motions in the para-sagittal plane. Results from 45 healthy individuals and 40 individuals with acquired brain injury demonstrate that although the passive upper motions are vertical, horizontal forces into and away from the individual's body demonstrate a relationship with the Modified Ashworth Scale...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813811/a-multichannel-near-infrared-spectroscopy-triggered-robotic-hand-rehabilitation-system-for-stroke-patients
#12
Jongseung Lee, Nobutaka Mukae, Jumpei Arata, Hiroyuki Iwata, Keiji Iramina, Koji Iihara, Makoto Hashizume
There is a demand for a new neurorehabilitation modality with a brain-computer interface for stroke patients with insufficient or no remaining hand motor function. We previously developed a robotic hand rehabilitation system triggered by multichannel near-infrared spectroscopy (NIRS) to address this demand. In a preliminary prototype system, a robotic hand orthosis, providing one degree-of-freedom motion for a hand's closing and opening, is triggered by a wireless command from a NIRS system, capturing a subject's motor cortex activation...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813810/dissociating-two-sources-of-variability-using-a-safety-margin-model
#13
Amit K Shah, James L Patton
Neurological trauma can have a devastating effect on activities of daily living. One of the consequences is an increased amount of variability in the system, which can challenge individuals to stay within safe and stable regions of operation. There are multiple sources of movement variability; two of these are neuromotor noise and action-tolerance variability. The amount of neuromotor noise that is uncontrollable can impose limitations on reshaping variability. Action-tolerance variability, which can be reshaped through experience, and neuromotor noise, a certain amount of which cannot be altered, are often conflated when discussing motor variability...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813805/improving-robotic-stroke-rehabilitation-by-incorporating-neural-intent-detection-preliminary-results-from-a-clinical-trial
#14
Jennifer L Sullivan, Nikunj A Bhagat, Nuray Yozbatiran, Ruta Paranjape, Colin G Losey, Robert G Grossman, Jose L Contreras-Vidal, Gerard E Francisco, Marcia K O'Malley
This paper presents the preliminary findings of a multi-year clinical study evaluating the effectiveness of adding a brain-machine interface (BMI) to the MAHI-Exo II, a robotic upper limb exoskeleton, for elbow flexion/extension rehabilitation in chronic stroke survivors. The BMI was used to trigger robot motion when movement intention was detected from subjects' neural signals, thus requiring that subjects be mentally engaged during robotic therapy. The first six subjects to complete the program have shown improvements in both Fugl-Meyer Upper-Extremity scores as well as in kinematic movement quality measures that relate to movement planning, coordination, and control...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813785/a-pilot-study-on-the-optimal-speeds-for-passive-wrist-movements-by-a-rehabilitation-robot-of-stroke-patients-a-functional-nirs-study
#15
Sung Jin Bae, Sung Ho Jang, Jeong Pyo Seo, Pyung Hun Chang
The optimal conditions inducing proper brain activation during performance of rehabilitation robots should be examined to enhance the efficiency of robot rehabilitation based on the concept of brain plasticity. In this study, we attempted to investigate differences in cortical activation according to the speeds of passive wrist movements performed by a rehabilitation robot for stroke patients. 9 stroke patients with right hemiparesis participated in this study. Passive movements of the affected wrist were performed by the rehabilitation robot at three different speeds: 0...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28813782/urea-cycle-pathway-targeted-therapeutic-action-of-naringin-against-ammonium-chloride-induced-hyperammonemic-rats
#16
Arumugam Ramakrishnan, Natesan Vijayakumar
Ammonia is a well-known neurotoxin that causes liver disease and urea cycle disorder. Excessive ammonia content in the blood leads to hyperammonemic condition and affects both excitatory and inhibitory neurotransmission including brain edema and coma. Naringin, a plant bioflavonoid present in various citrus fruits and mainly extracted from the grape fruit. This study was designed to assess the protective effect of naringin on ammonium chloride (NH4Cl) induced hyperammonemic rats. Experimental hyperammonemia was induced by intraperitoneal injections (i...
August 12, 2017: Biomedicine & Pharmacotherapy, Biomédecine & Pharmacothérapie
https://www.readbyqxmd.com/read/28813763/simultaneous-onset-of-deep-vein-thrombosis-pulmonary-embolism-cerebral-infarction-and-myocardial-infarction-in-a-patient-with-patent-foramen-ovale
#17
Jimmy Yee, Vishesh Kumar, Alex Pham, Kashif Shaikh, Muhammad Omar, Adam Stys, Marian Petrasko
Paradoxical embolism is a known complication with intra-cardiac shunts. It should be considered in the differential as the pathophysiologic mechanism of simultaneous thromboembolism in the venous and systemic vasculature. We present a case of simultaneous deep venous thrombosis, pulmonary embolism and myocardial infarction in the presence of a confirmed patent foramen ovale on echocardiography. Thrombolytic therapy was administered. Subsequent concerns of intracranial hemorrhage on imaging of the brain complicated the management and added to the challenge of co-managing the clot burden in our patient...
June 2017: South Dakota Medicine: the Journal of the South Dakota State Medical Association
https://www.readbyqxmd.com/read/28813755/genetics-of-alcoholism
#18
Ena C Zhu, Timothy J Soundy, Yueshan Hu
Consuming excessive amounts of alcohol has the potential to modify an individual's brain and lead to alcohol dependence. Alcohol use leads to 88,000 deaths every year in the U.S. alone and can lead to other health issues including cancers, such as colorectal cancer, and mental health problems. While drinking behavior varies due to environmental factors, genetic factors also contribute to the risk of alcoholism. Certain genes affecting alcohol metabolism and neurotransmitters have been found to contribute to or inhibit the risk...
May 2017: South Dakota Medicine: the Journal of the South Dakota State Medical Association
https://www.readbyqxmd.com/read/28813733/disseminated-blastomycosis-mimicking-malignancy
#19
Jennifer L Hsu, B Joel Tjarks, Aaron Berg, Tony Oliver
Blastomycosis is an endemic fungal infection commonly found within the Mississippi and Ohio River basins and Great Lakes region. While patients typically present with acute pneumonia, Blastomyces dermatitidis has the potential to spread hematogenously, resulting in disseminated infection of multiple organs. In this report, we describe a 57-year-old male with disseminated blastomycosis acquired in South Dakota. The diagnostic evaluation was confounded by concern for malignancy given the involvement of multiple locations, including brain, lungs, adrenal glands, and testes...
April 2017: South Dakota Medicine: the Journal of the South Dakota State Medical Association
https://www.readbyqxmd.com/read/28813666/microrna-9-couples-brain-neurogenesis-and-angiogenesis
#20
Romain Madelaine, Steven A Sloan, Nina Huber, James H Notwell, Louis C Leung, Gemini Skariah, Caroline Halluin, Sergiu P Paşca, Gill Bejerano, Mark A Krasnow, Ben A Barres, Philippe Mourrain
In the developing brain, neurons expressing VEGF-A and blood vessels grow in close apposition, but many of the molecular pathways regulating neuronal VEGF-A and neurovascular system development remain to be deciphered. Here, we show that miR-9 links neurogenesis and angiogenesis through the formation of neurons expressing VEGF-A. We found that miR-9 directly targets the transcription factors TLX and ONECUTs to regulate VEGF-A expression. miR-9 inhibition leads to increased TLX and ONECUT expression, resulting in VEGF-A overexpression...
August 15, 2017: Cell Reports
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