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https://www.readbyqxmd.com/read/28227970/combining-a-hybrid-robotic-system-with-a-bain-machine-interface-for-the-rehabilitation-of-reaching-movements-a-case-study-with-a-stroke-patient
#1
F Resquin, J Ibanez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, F Resquin, J Ibañez, J Gonzalez-Vargas, F Brunetti, I Dimbwadyo, S Alves, L Carrasco, L Torres, Jose Luis Pons, S Alves, Jose Luis Pons, F Brunetti, J Gonzalez-Vargas, F Resquin, I Dimbwadyo, L Carrasco, L Torres, J Ibanez
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in the literature to improve rehabilitation outcomes. In this work, we present the combined use of a hybrid robotic system with an EEG-based Brain-Machine Interface to detect the user's movement intentions to trigger the assistance. The platform has been tested in a single session with a stroke patient. The results show how the patient could successfully interact with the BMI and command the assistance of the hybrid system with low latencies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227917/evaluation-of-shoulder-joint-kinematics-and-muscle-activity-during-geared-and-standard-manual-wheelchair-mobility
#2
Omid Jahanian, Alyssa J Schnorenberg, Brooke A Slavens, Omid Jahanian, Alyssa J Schnorenberg, Brooke A Slavens, Brooke A Slavens, Alyssa J Schnorenberg, Omid Jahanian
Manual wheelchairs often lead to reduced independent function and an increase in shoulder pain and injuries. Geared manual wheelchairs may be a promising alternative that reduces the biomechanical demands of the shoulder needed for tasks such as propulsion on ramps and carpeted floors, while maximizing function and participation. To investigate the effects of geared manual wheelchair mobility during demanding tasks such as ramp ascent, six able-bodied subjects were evaluated in this study. Subjects were asked to propel both standard and geared manual wheelchairs on a tiled level floor and on a wheelchair ADA ramp...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227914/automated-classification-of-pathological-gait-after-stroke-using-ubiquitous-sensing-technology
#3
Elham Dolatabadi, Babak Taati, Alex Mihailidis, Elham Dolatabadi, Babak Taati, Alex Mihailidis, Babak Taati, Alex Mihailidis, Elham Dolatabadi
This study uses machine learning methods to distinguish between healthy and pathological gait. Examples of multi-dimensional pathological and normal gait sequences were collected from post-stroke and healthy individuals in a real clinical setting and with two Kinect sensors. The trajectories of rotational angle and global velocity of selected body joints (hips, spine, shoulders, neck, knees and ankles) over time formed the gait sequences. The combination of k nearest neighbor (kNN) and dynamic time warping (DTW) was used for classification...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227902/impairment-of-muscle-force-transmission-in-spastic-paretic-muscles-of-stroke-survivors
#4
Xiaogang Hu, Babak Afsharipour, William Zev Rymer, Nina L Suresh, Xiaogang Hu, Babak Afsharipour, William Zev Rymer, Nina L Suresh, Xiaogang Hu, Babak Afsharipour, William Zev Rymer, Nina L Suresh
Hemispheric stroke survivors tend to have persistent motor impairments, with muscle weakness and muscle spasticity observed concurrently in the affected muscles. The objective of this preliminary study was to identify whether impairment of muscle force transmission could contribute to weakness in spastic-paretic muscles of chronic stroke survivors. To characterize the efficiency of the transmission of muscle forces to the tendon, we activated biceps brachii muscle electrically by stimulating the musculocutaneous nerve with maximum current...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227899/peripheral-sensory-stimulation-is-neuroprotective-in-a-rat-photothrombotic-ischemic-stroke-model
#5
Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Aishwarya Bandla, Chua Le Teng Sherry, Frances Lim, Chan Kim Chuan, Lun-De Liao, Nitish V Thakor, Lun-De Liao, Nitish V Thakor, Frances Lim, Chua Le Teng Sherry, Aishwarya Bandla, Chan Kim Chuan
Ischemic stroke is one of the leading causes of death and disability in the world. Thrombolytic therapy using recombinant tissue plasminogen activator (rtPA), the only FDA-approved drug for acute ischemia, is limited by a narrow therapeutic time window and risk of hemorrhage. There is a serious need for a neuroprotective therapy which is clinically viable. We earlier demonstrated that peripheral sensory stimulation (PSS) is a potential therapeutic intervention for hyperacute ischemia resulting in recovery of neurovascular functions when administered immediately following ischemia onset in a rat model...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227862/effects-of-high-frequency-rtms-on-sleep-deprivation-a-pilot-study
#6
D P Martinez-Cancino, J Azpiroz-Leehan, L Jimenez-Angeles, A Garcia-Quintanar, R Santana-Miranda, D P Martinez-Cancino, J Azpiroz-Leehan, L Jimenez-Angeles, A Garcia-Quintanar, R Santana-Miranda, A Garcia-Quintanar, L Jimenez-Angeles, R Santana-Miranda, J Azpiroz-Leehan, D P Martinez-Cancino
Transcranial magnetic stimulation is a neurostimulation technique which has the potential to serve as a unique research tool for investigating a wide variety of fields in cognitive neuroscience. TMS has been approved by the FDA to serve as a treatment to depression and has also been used to evaluate its effects among several conditions such as Alzheimer, Parkinson disease, chronic pain and stroke. High frequency TMS has been previously used with the intention to measure and modulate the negative effects of sleep deprivation in cognitive performance, but there is no consensus about the ideal protocol yet...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227837/progressive-abduction-loading-therapy-targeting-flexion-synergy-to-regain-reaching-function-in-chronic-stroke-preliminary-results-from-an-rct
#7
Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald, Michael D Ellis, Carolina Carmona, Justin Drogos, Stuart Traxel, Julius P A Dewald, Stuart Traxel, Michael D Ellis, Carolina Carmona, Julius P A Dewald, Justin Drogos
Reaching function is impaired following stroke due to abnormal coupling of shoulder abduction and elbow flexion. This phenomenon is commonly referred to as flexion synergy, loss of independent joint control, or impaired joint individuation. We have been successful in treating individuals with chronic stroke with moderate to severe motor impairments through the employment of targeted rehabilitation robotics and identified progressive abduction loading as a key element to the rehabilitation of reaching. Here we expand upon the investigation of progressive abduction loading therapy by testing two variants of the exercise in a larger sample and including a 3-month follow-up...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227836/exerciser-for-rehabilitation-of-the-arm-era-development-and-unique-features-of-a-3d-end-effector-robot
#8
Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud, Marie-Helene Milot, Mathieu Hamel, Philippe-Olivier Provost, Julien Bernier-Ouellet, Maxime Dupuis, Dominic Letourneau, Simon Briere, Francois Michaud, Philippe-Olivier Provost, Dominic Letourneau, Maxime Dupuis, Marie-Helene Milot, Francois Michaud, Mathieu Hamel, Julien Bernier-Ouellet, Simon Briere
Stroke is one of the leading causes of disability worldwide. Consequently, many stroke survivors exhibit difficulties undergoing voluntary movement in their affected upper limb, compromising their functional performance and level of independence. To minimize the negative impact of stroke disabilities, exercises are recognized as a key element in post-stroke rehabilitation. In order to provide the practice of exercises in a uniform and controlled manner as well as increasing the efficiency of therapists' interventions, robotic training has been found, and continues to prove itself, as an innovative intervention for post-stroke rehabilitation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227809/feature-domain-specific-movement-intention-detection-for-stroke-rehabilitation-with-brain-computer-interfaces
#9
J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen, J T Hadsund, M B Sorensen, A C Royo, I K Niazi, H Rovsing, C Rovsing, M Jochumsen, H Rovsing, M Jochumsen, M B Sorensen, C Rovsing, A C Royo, I K Niazi, J T Hadsund
Brain-computer interface (BCI) driven electrical stimulation has been proposed for neuromodulation for stroke rehabilitation by pairing intentions to move with somatosensory feedback from electrical stimulation. Movement intentions have been detected in several studies using different techniques, with temporal and spectral features being the most common. A few studies have compared temporal and spectral features, but conflicting results have been reported. In this study, the aim was to investigate if complexity measures can be used for movement intention detection and to compare the detection performance based on features extracted from three different domains (time, frequency and complexity) from single-trial EEG...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227710/monitoring-of-paces-and-gaits-using-binary-pir-sensors-with-rehabilitation-treadmill
#10
Jiang Lu, Ting Zhang, Qingquan Sun, Sanobar Kadiwal, Ishaq Unwala, Fei Hu, Jiang Lu, Ting Zhang, Qingquan Sun, Sanobar Kadiwal, Ishaq Unwala, Fei Hu, Ting Zhang, Ishaq Unwala, Qingquan Sun, Jiang Lu, Sanobar Kadiwal, Fei Hu
Recently, rehabilitation treadmills are designed for helping injured persons such as stroke patients and injury athletes in the process of physical therapy. By monitoring the changes of paces and gaits, one can estimate the progress of rehabilitation. At present, most devices that can estimate paces and gaits are wearable and/or expensive. This paper presents an inexpensive, non-intrusive wireless binary sensor system for pace estimation and lower-extreme gait recognition with low data throughput and high energy efficiency...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227609/spring-operated-wearable-enhancer-for-arm-rehabilitation-springwear-after-stroke
#11
Ji Chen, Peter S Lum, Ji Chen, Peter S Lum, Ji Chen, Peter S Lum
A 5-DOF spring actuated exoskeleton, called SpringWear, was developed to increase range of motion in the affected arms of stroke patients. Theoretically perfect gravity compensation is provided at the shoulder elevation DOF. Additional torque is provided to assist weakness in forearm supination and elbow extension. Three stroke patients were tested. All of the assisted joints increased in range of motion, and larger gains should be possible with refinements in the available torque profiles. Additionally, finger range of motion was increased in one subject when asked to open the hand while holding the shoulder at 90 degrees of elevation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227572/real-time-monitoring-of-swimming-performance
#12
R Delgado-Gonzalo, A Lemkaddem, Ph Renevey, E Muntane Calvo, M Lemay, K Cox, D Ashby, J Willardson, M Bertschi, R Delgado-Gonzalo, A Lemkaddem, Ph Renevey, E Muntane Calvo, M Lemay, K Cox, D Ashby, J Willardson, M Bertschi, M Lemay, A Lemkaddem, Ph Renevey, D Ashby, M Bertschi, E Muntane Calvo, J Willardson, R Delgado-Gonzalo, K Cox
This article presents the performance results of a novel algorithm for swimming analysis in real-time within a low-power wrist-worn device. The estimated parameters are: lap count, stroke count, time in lap, total swimming time, pace/speed per lap, total swam distance, and swimming efficiency (SWOLF). In addition, several swimming styles are automatically detected. Results were obtained using a database composed of 13 different swimmers spanning 646 laps and 858.78 min of total swam time. The final precision achieved in lap detection ranges between 99...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227561/mirror-therapy-combined-with-functional-electrical-stimulation-for-rehabilitation-of-stroke-survivors-ankle-dorsiflexion
#13
Ghadir Salhab, Ahmad Rifaii Sarraj, Soha Saleh, Ghadir Salhab, Ahmad Rifaii Sarraj, Soha Saleh, Ahmad Rifaii Sarraj, Ghadir Salhab, Soha Saleh
This study investigates the effect of combining both mirror therapy with Electrical Stimulation (ES) on improvement of the function of lower extremity compared to conventional therapy. 18 stroke survivors (sub acute stage) were recruited, 9 of them were randomly assigned to receive conventional treatment and another 9 started the mirror therapy combined with ES treatment. Duration of each session in both interventions was 50 minutes, done 4 times per week over two weeks. After 2 weeks, subjects took one week rest before switching they type of treatment; those started with conventional therapy continued with mirror therapy combined with ES, and vice versa...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227556/case-studies-in-poststroke-hemiplegic-patients-using-semul-a-passive-2-dof-rehabilitation-robot
#14
Ken'ichi Koyanagi, Yuya Kuwahara, Takehiro Kamida, Takuya Ozawa, Rieko Mizukami, Kiyokazu Genda, Ayaka Mori, Tatsuo Motoyoshi, Hiroyuki Masuta, Toru Oshima, Ken'ichi Koyanagi, Yuya Kuwahara, Takehiro Kamida, Takuya Ozawa, Rieko Mizukami, Kiyokazu Genda, Ayaka Mori, Tatsuo Motoyoshi, Hiroyuki Masuta, Toru Oshima, Tatsuo Motoyoshi, Toru Oshima, Rieko Mizukami, Kiyokazu Genda, Takehiro Kamida, Takuya Ozawa, Ken'ichi Koyanagi, Ayaka Mori, Yuya Kuwahara, Hiroyuki Masuta
Following stroke, rehabilitation exercises paired with medical treatment are important for the recovery and maintenance of upper limb function. We developed a 2-DOF passive haptic system for upper limb rehabilitation and software focusing on reaching exercises, known as the coin collecting program, which provides training and evaluation of motor function, particularly dexterity. Past studies have revealed quantitative, reproducible evaluation indices using this software. In this paper, we compared case studies of post-stroke patients with results from healthy participants, and confirmed the reliability of the evaluation indices in grading or scoring motor skills...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227555/eeg-patterns-of-subacute-stroke-patients-performing-motor-tasks-correlate-with-motor-functional-outcome-preliminary-results
#15
Wanjoo Park, Yun-Hee Kim, Sung-Phil Kim, Laehyun Kim, Wanjoo Park, Yun-Hee Kim, Sung-Phil Kim, Laehyun Kim, Yun-Hee Kim, Sung-Phil Kim, Wanjoo Park, Laehyun Kim
If an early predictor of motor functional outcome after stroke were available, stroke patients would receive more appropriate treatments for motor recovery. We performed a correlation analysis of the electroencephalography (EEG) signal patterns of nine subacute stroke patients (recorded 22.9 ± 7.1 days after onset) and their motor recovery rates (measured 100.2 ± 8.9 days after onset). The beta band spectral power in the bilateral motor cortex after physical upper limb movement correlated significantly with the motor recovery rates [Fugl-Meyer assessment (FMA) scores; Pearson's linear correlation, p <; 0...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227554/cortical-excitability-effects-of-stimulation-intensity-change-speed-during-nmes
#16
Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shenglong Jiang, Zhongpeng Wang, Weibo Yi, Feng He, Shuang Liu, Hongzhi Qi, Dong Ming, Shuang Liu, Shenglong Jiang, Zhonapeng Wang, Dong Ming, Feng He, Qi Hongzhi, Weibo Yi
Rehabilitation method of motor dysfunction is a challenging issue of neural rehabilitation. Neuromuscular electrical stimulation (NMES) has been frequently used in rehabilitation therapy to improve neural recovery such as stroke and spinal cord injury. Stimulus, acting on sensorimotor neural system components, resulted in the increased cortical excitability which accompanied with motor performance improvement. Stimulus information conveyed by sensory system included below four elementary attributes: modality, location, intensity, and timing...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227533/upper-extremity-post-stroke-motion-quality-estimation-with-decision-trees-and-bagging-forests
#17
Sarvenaz Chaeibakhsh, Elissa Phillips, Amanda Buchanan, Eric Wade, Sarvenaz Chaeibakhsh, Elissa Phillips, Amanda Buchanan, Eric Wade, Elissa Phillips, Sarvenaz Chaeibakhsh, Amanda Buchanan, Eric Wade
Stroke is one of the leading causes of long-term disability. Approximately two thirds of stroke survivors require long-term rehabilitation, which suggests the importance of understanding movement quality in real-world settings. To address this need, we have developed an approach that quantifies physical activity and also evaluates performance quality. Accelerometer and gyroscope sensor data are used to measure upper extremity movements and to develop a mathematical framework to relate objective sensor data to clinical performance metrics...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227529/development-of-sit-to-stand-and-stand-to-sit-training-system-for-hemiplegic-patients
#18
Ryoichiro Shiraishi, Hiroaki Kawamoto, Yoshiyuki Sankai, Ryoichiro Shiraishi, Hiroaki Kawamoto, Yoshiyuki Sankai, Ryoichiro Shiraishi, Yoshiyuki Sankai, Hiroaki Kawamoto
As one of the several characteristics of hemiplegic patients after stroke, the patients conduct sit-to-stand and stand-to-sit (STS) motion using their unaffected leg. The purpose of this study is to develop a STS motion support system for helping the patients decrease the difference of the usage ratio between the affected side and the unaffected side, and increase the usage of the affected leg. The developed system supports the STS motions by moving the seat linearly. The system also provides the user visual motor information for each leg by measuring the floor reaction force (FRF) during STS motions...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227393/an-integrated-neuroprotective-intervention-for-brain-ischemia-validated-by-ecog-fpam
#19
Yu-Hang Liu, Lun-De Liao, Su Jing Chan, Aishwarya Bandla, Nitish V Thakor, Yu-Hang Liu, Lun-De Liao, Su Jing Chan, Aishwarya Bandla, Nitish V Thakor, Yu-Hang Liu, Aishwarya Bandla, Nitish V Thakor, Su Jing Chan, Lun De Liao
Brain ischemia is a neurological deficit caused by a reduction in the blood supply to tissue, and one of the leading causes of disability in the world. Currently, the most well-known therapeutic agent for ischemia recovery is recombinant tissue plasminogen activator (rtPA), but it is viable for only a small portion (approximately 3.6%) of ischemic patients and may cause side effects such as tissue damage. Thus, introducing a new therapeutic concept for ischemia, we proposed an integrated intervention combining global and focal stimulations in this article...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227349/automated-embolic-signal-detection-using-adaptive-gain-control-and-classification-using-anfis
#20
Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit, Praotasna Sombune, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong, Charturong Tantibundhit, Praotasna Sombune, Charturong Tantibundhit, Phongphan Phienphanich, Sombat Muengtaweepongsa, Anuchit Ruamthanthong
This work proposes an automated system for real-time high-accuracy detection of cerebral embolic signals (ES) to couple with transcranial Doppler ultrasound (TCD) devices in diagnosing a risk of stroke. The algorithm employs Adaptive Gain Control (AGC) approach to capture suspected ESs in real-time. Then, Adaptive Wavelet Packet Transform (AWPT) and Fast Fourier Transform (FFT) are used to extract from them features most efficiently representing ES, which determined by Sequential Feature Selection technique...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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