about
Brain-computer interface using a simplified functional near-infrared spectroscopy systemMeasuring perceptual centers using the phase correction response.Employing ensemble empirical mode decomposition for artifact removal: extracting accurate respiration rates from ECG data during ambulatory activity.Functional Near Infrared Spectroscopy (fNIRS) synthetic data generation.Towards a near infrared spectroscopy-based estimation of operator attentional state.Development of a wearable motion capture suit and virtual reality biofeedback system for the instruction and analysis of sports rehabilitation exercises.NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses.An exploration of EEG features during recovery following stroke - implications for BCI-mediated neurorehabilitation therapy.Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation.Technology in Rehabilitation: Comparing Personalised and Global Classification Methodologies in Evaluating the Squat Exercise with Wearable IMUs.Classification of deadlift biomechanics with wearable inertial measurement units.Technology in Strength and Conditioning Tracking Lower-Limb Exercises With Wearable Sensors.Classification of lunge biomechanics with multiple and individual inertial measurement units.Technology in Rehabilitation: Evaluating the Single Leg Squat Exercise with Wearable Inertial Measurement Units.Patellofemoral contact forces and pressures during intramedullary tibial nailingEffects of Anodal High-Definition Transcranial Direct Current Stimulation on Bilateral Sensorimotor Cortex Activation During Sequential Finger Movements: An fNIRS Study.Subject-to-subject adaptation to reduce calibration time in motor imagery-based brain-computer interface.Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement.Artifact removal in physiological signals--practices and possibilities.The use of ensemble empirical mode decomposition with canonical correlation analysis as a novel artifact removal technique.Expectations induced by natural-like temporal fluctuations are independent of attention decrement: evidence from behavior and early visual evoked potentials.A Wearable Sensor-Based Exercise Biofeedback System: Mixed Methods Evaluation of Formulift.Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke.A novel BCI-controlled pneumatic glove system for home-based neurorehabilitation.A prototype sourceless kinematic-feedback based video game for movement based exercise.Effects of feedback latency on P300-based brain-computer interface.Intelligent artifact classification for ambulatory physiological signals.Slacking in the context of agent-based assessment in virtual rehabilitation systems.Massively Parallel Reasoning under the Well-Founded Semantics Using X10Predicting risk of suicide using resting state heart rateAn investigation of triggering approaches for the rapid serial visual presentation paradigm in brain computer interfacingSpatial filtering pipeline evaluation of cortically coupled computer vision system for rapid serial visual presentationMulticomponent analysis using a confocal Raman microscopeMobile App to Streamline the Development of Wearable Sensor-Based Exercise Biofeedback Systems: System Development and EvaluationA novel co-locational and concurrent fNIRS/EEG measurement system: design and initial results
P50
Q28249024-C98A93EB-8219-427C-8645-F75D7F60D427Q30401099-A2FB4538-9002-4062-8310-96C24EF8DD31Q30673303-E7754F5C-4DFC-4DE5-A08C-A044F7268060Q34131924-6632AB66-7F54-4080-99B5-F58EDBC11C6FQ35121809-A7B4B2A9-CF25-4BEE-B2E7-DDEA8EAB6619Q37001054-077FCA1A-FA23-4206-B882-020AE8CE7909Q37182644-B72C58A0-089C-4D7F-84E1-8A3B8A48890EQ37717559-45B3B2EC-1901-4328-A558-3ECAF50B4D03Q38369181-A5C28BA5-2C09-44BC-A545-59C3186B7380Q38726272-5EDEFACB-690D-4F15-85BC-8E2B47BC9077Q38763110-43D58B9B-4EEA-4B16-B467-BB8B5A929D8BQ38767137-7B8000FE-980A-42C0-B1DB-F5E98F811181Q38775383-92AEC51D-CD3B-4E75-97F1-709EBC4A661BQ39249027-0ABC7D85-84C2-43CF-822F-6128D46F476FQ39676131-EBAE7AF4-7709-4E8E-8894-A57B10F71A70Q40092143-9DB60DA3-1211-47CB-951D-859AFB9ED860Q41604875-DF872A68-587F-4FC6-92ED-DD74D9C68C50Q42369737-01ADFAB2-028E-405E-977D-811BD774CE24Q44135552-ED396F33-ECCF-4C51-ADD1-8636F3FA9298Q44450507-58CE572F-2EF8-4965-BB05-BB9B1277BF5EQ46571435-F26AD1FB-6D7F-4E6C-B6D0-CF1F5793A92AQ47701348-5A21D8BA-C4C5-428A-B0F7-9A75D2EB7D53Q48364139-01C8BFE9-9550-4A6E-A5B7-4152012B5B9CQ48385014-399CFC1A-CEFD-4DCF-8886-C0D413C11803Q48593035-725D6BD8-1B27-470B-8340-D15F35607DE3Q49040968-17D38674-5120-4365-AED1-4243DA902458Q51632831-989986AB-7EB6-4AAD-9EBC-0717C9BC0ECDQ53642438-4E33ED82-589F-437E-8752-A5245D378ECCQ58198051-8662AA6A-6397-439B-8A8C-6AD0F94B8C88Q60191974-4A580280-9B87-4466-B819-5E3176EFA44FQ60191977-7A32DDBA-8C09-4C2A-B222-56AE030083F0Q62046105-F87BC99A-074B-4289-81C5-6B8BE9180BE3Q62547819-CC9FA55F-DCD8-4300-9782-12A7FE029E5AQ64126121-B4409487-24D1-4758-B974-0EF9EEEBA424Q82549831-E7088073-2CAF-42E2-ACFA-554D359A1313
P50
description
researcher ORCID ID = 0000-0002-6173-6607
@en
wetenschapper
@nl
name
Tomas Ward
@ast
Tomas Ward
@en
Tomas Ward
@es
Tomas Ward
@nl
type
label
Tomas Ward
@ast
Tomas Ward
@en
Tomas Ward
@es
Tomas Ward
@nl
prefLabel
Tomas Ward
@ast
Tomas Ward
@en
Tomas Ward
@es
Tomas Ward
@nl
P1153
7402100229
P21
P2456
P31
P496
0000-0002-6173-6607