IEEE Transactions on Neural Systems and Rehabilitation Engineering
Papers 2016
1 page of 202 pages (2,016 results)
Typical electromyogram (EMG) processors estimate EMG signal standard deviation (EMG \sigma ) via moving average root mean square (RMS) or mean absolute value (MAV) filters, whose outputs are used in force estimation, prosthesis/orthosis control, etc. In the inevitable presence of additive measurement noise, some processors subtract the noise standard deviation from EMG RMS (or MAV). Others compute a root difference of squares (RDS)—subtract the noise variance from the square of EMG RMS (or MA...
Studies using time-frequency analysis have reported that somatosensory evoked potentials provide information regarding the location of spinal cord injury. However, a better understanding of the time-frequency components derived from somatosensory evoked potentials is essential for developing more reliable algorithms that can diagnosis level (location) of cervical injury. In the present study, we proposed a random forests machine learning approach, for separating somatosensory evoked potentials d...
Drowsy driving is pervasive, and also a major cause of traffic accidents. Estimating a driver’s drowsiness level by monitoring the electroencephalogram (EEG) signal and taking preventative actions accordingly may improve driving safety. However, individual differences among different drivers make this task very challenging. A calibration session is usually required to collect some subject-specific data and tune the model parameters before applying it to a new subject, which is very inconvenient ...
Responsive neurostimulation (RNS) is becoming a promising therapy in refractory epilepsy control. In a RNS system, a critical challenge is how to detect seizure onsets accurately with low computational costs. In this study, an energy efficient AdaBoost cascade method for robust long-term seizure detection from local field potential (LFP) signals was proposed and evaluated in a portable neurostimulator. The AdaBoost cascade method included two stages: a seizure candidate detection stage (stage1) ...
#1Yu Liu (THU: Tsinghua University)
#2Jiansheng Chen (THU: Tsinghua University)H-Index: 12
Last.Luming Li (THU: Tsinghua University)H-Index: 9
view all 8 authors...
Non-volitional discontinuation of motion, namely bradykinesia, is a common motor symptom among patients with Parkinson’s disease (PD). Evaluating bradykinesia severity is an important part of clinical examinations on PD patients in both diagnosis and monitoring phases. However, subjective evaluations from different clinicians often show low consistency. The research works that explore objective quantification of bradykinesia are mostly based on highly-integrated sensors. Although these sensor-ba...
Top fields of study
Brain–computer interface
Physical therapy
Physical medicine and rehabilitation