PUBLICATIONS

PUBLICATIONS

Mobility Lab Publications

Publications featuring the mobility lab system

• Howell, et al. “Dual-task gait differences in female and male adolescents following sport-related concussion.Gait and Posture. 2017

• Fortaleza, et al. “Dual task interference on postural sway, postural transitions and gait in people with Parkinson’s disease and Freezing of Gait.Gait and Posture. 2017

• El-Gohary, et al. “Validity of the Instrumented Push and Release Test to Quantify Postural Responses in Persons With Multiple Sclerosis.Archives of Physical Medicine and Rehabilitation. 2017

• Washabaugh, et al. “Validity and repeatability of inertial measurement units for measuring gait parameters.Gait and Posture. 2017

• Vasilyev, et al. “Inertial and Time-of-Arrival Ranging Sensor Fusion.Gait and Posture. 2017

•Hedayat, et al. “Different haptic tools reduce trunk velocity in the frontal plane during walking, but haptic anchors have advantages over lightly touching a railing.Experimental Brain Research. 2017

• Howell, et al. “Single-Task and Dual-Task Gait Among Collegiate Athletes of Different Sport Classifications: Implications for Concussion Management.Journal of Applied Biomechanics. 2017

• Pal, et al. “Global cognitive function and processing speed are associated with gait and balance dysfunction in Parkinson’s disease.Journal of NeuroEngineering and Rehabilitation. 2016

• Sankarpandi, et al. “Reliability of Inertial Sensors in the Assessment of Patients with Vestibular Disorders: a Feasibility Study.” BMC Ear Nose and Throat Disorders. 2016

• O’Keefe JA, et al. “Gait and Functional Mobility Deficits in Fragile X-Associated Tremor/Ataxia Syndrome.” Cerebellum. 2016

• Ramsperger, et al. “Continuous Leg Dyskinesia Assessment in Parkinson’s Disease – Clinical Validity and Ecological Effect.” Parkinsonism. 2016

• Hollman, et al. “Complexity, fractal dynamics and determinism in treadmill ambulation: Implications for clinical biomechanists.” Clinical biomechanics. 2016

• Mancini, et al. “The Clinical Significance Of Freezing While Turning in Parkinson’s Disease.Neuroscience. 2016

• Mancini, et al. “Continuous Monitoring of Turning Mobility and Its Association to Falls and Cognitive Function: A Pilot Study.” Journals of Gerontology: Medical Sciences. 2016

• Mancini, et al. “Effect of Augmenting Cholinergic Function on Gait and Balance.” BMC Neurology. 2016

• Horak, et al. “Balance and Gait Represent Independent Domains of Mobility in Parkinson’s Disease.” Physical Therapy. 2016

• Godinho, et al. “A Systematic Review of the Characteristics and Validity of Monitoring Technologies to Assess Parkinson’s Disease.” Journal of NeuroEngineering and Rehabilitation. 2016

Schmitz-Hübsch, et al. “Accuracy and Repeatability of two methods of gait analysis − GaitRite™ und Mobility Lab™ − in subjects with cerebellar ataxia.Gait and Posture. 2016

• Giannouli, et al. “Mobility in Old Age – Capacity is not Performance.” Advances in Long Term Physical Behavior Monitoring. 2016

• Agmon, et al. “Sleep quality is associated with walking under dual-task, but not single-task performance.Gait and Posture. 2016

• Freeman, et al. “Identification of Balance Deficits in People with Parkinson’s Disease; Is the Sensory Organization Test Enough?International Journal of Physical Medicine & Rehabilitation. 2016

• Fling, et al. “Associations Between Mobility, Cognition and Callosal Integrity in People with Parkinsonism.” NeuroImage: Clinical. 2016

• Espay, et al. “Technology in Parkinson’s Disease: Challenges and Opportunities.” Movement Disorders. 2016

• Elsehabi, et al. “Limited Effect of Dopaminergic Medication on Straight Walking and Turning in Early-to-Moderate Parkinson’s Disease during Single and Dual Tasking.” Frontiers in Aging and Neuroscience. 2016

• Brodie, et al. “Gyrosopic Corrections Improve Wearable Sensor Data Prior to Measuring Dynamic Sway in the Gait of People with MS.” Computer Methods in Biomechanics and Biomedical Engineering. 2016

• Baston, et al. “Effects of Levodopa on Postural Strategies in Parkinson’s Disease.” Gait and Posture. 2016

• Weiss, et al. “Long-Term Outcome of Deep Brain Stimulation in Fragile X-Associated Tremor/Ataxia Syndrome.” Parkinsonism. 2015

• McConnell & Silverman. “Comparing Usability and Variance of Low and High Technology Approaches to Gait Analysis in Healthy Adults.” University of Nevada. 2015

• Mancini, et al. “Continuous Monitoring of Turning in Parkinson’s Disease: Rehabilitation Potential.” NeuroRehabilitation. 2015

• Horak, et al. “Potential of APDM Mobility Lab for the Monitoring of the Progression of Parkinson’s Disease.” Expert Review of Medical Devices. 2015

• Hollman, et al. “A Comparison of Variability in Spatiotemporal Gait Parameters Between Treadmill and Overground Walking Conditions.” Gait and Posture. 2015

• Curtze, et al. “Levodopa is a Double Edged Sword for Balance and Gait in People with Parkinson’s Disease.” Movement Disorders. 2015

• Coulthard, et al. “Evaluation of an Inertial Sensor System for Analysis of Timed-Up-and-Go Under Dual-Task Demands.” Gait & Posture. 2015

• Cohen, et al. “Lighten Up: Specific Postural Instructions Affect Axial Rigidity and Step Initiation in Patients with Parkinson’s Disease.” NeuroRehabilitation and Neural Repair. 2015

• Wang, et al. “Inertial Measurements of Free-Living Activities: Assessing Mobility to Predict Falls.” IEEE. 2014

• Smith, et al. “Consistency in Administration and Response for the Backward Push and Release Test: A Clinical Assessment of Postural Responses.” Physiotherapy. 2014

• Peterson, et al. “Dual-Task Interference and Brain Structural Connectivity in People with Parkinson’s Disease who Freeze.” Movement Disorders. 2014

• Pearson, et al. “Turn Detection and Characterization with Inertial Sensors.” Sensors. 2014

• Mancini, et al. “Quantifying Freezing of Gait in Parkinson’s Disease During the Instrumented Timed Up and Go Test.” IEEE Eng Med Biol Soc. 2014

• King, et al. “Instrumenting the Balance Error Scoring System for Use with Patients Reporting Persistent Balance Problems After Mild Traumatic Brain Injury.” Archives of Physical Medicine and Rehabilitation. 2014

• Howell, et al. “Dual Task Gait Balance Control Assessment with an Inertial Measurement Unit Following Concussion.” University of Oregon. 2014

• Horak, et al. “Role of Body-Worn Movement Monitor Technology for Balance and Gait Rehabilitation.” Physical Therapy. 2014

• Horak & Mancini. “Objective Biomarkers of Balance and Gait for Parkinson’s Disease Using Body-worn Sensors.” Movement Disorders. 2014

• Fling, et al. “Functional Reorganization of the Locomotor Network in Parkinson Patients with Freezing of Gait.” PLOS One. 2014

• El-Gohary, et al. “Continuous Monitoring of Turning in Patients with Movement Disability.” Sensors. 2014

• Dewey, et al. “Automated Gait and Balance Parameters Diagnose and Correlate with Severity in Parkinson Disease.” Journal of the Neurological Sciences. 2014

• Chaikeeree, et al. “Interaction of Age and Foam Types Used in Clinical Test for Sensory Interaction and Balance (CTSIB).” Gait & Posture. 2014

• Baston, et al. “Postural Strategies Assessed with Intertial Sensors in Healthy and Parkinsonian Subjects.” Gait & Posture. 2014

• Balasubramanian. “Age Related Changes in Balance and Gait.” Arizona State University. 2014

• Mirelman, et al. “VTIME: A Treadmill Training Program Augmented by Virtual Reality to Decrease Fall Risk in Older Adults.” BMC Neurology. 2013

• Martori. “A Wearable Motion Analysis System to Evaluate Gait Deviations.” University of South Florida. 2013

• Martori, et al. “Knee Angle Analysis Using a Wearable Motion Analysis System for Detection and Rehabilitation of Mild Traumatic Brain Injury.” University of South Florida. 2013

• King, et al. “Exploring Outcome Measures for Exercise Intervention in People with Parkinson’s Disease.” Parkinson’s Disease. 2013

• Fling, et al. “Asymmetric Pedunculopontine Network Connectivity in Parkinsonian Patients with Freezing of Gait.” Brain – A Journal of Neurology. 2013

• Beach. “Effect of Compliant Flooring on Postural Stability in an Older Adult Population and in Individuals with Parkinson’s Disease.” University of Dayton. 2013.

• Spain, et al. “Body-worn Motion Sensors Detect Balance and Gait Deficits in People with Multiple Sclerosis who have Normal Walking Speed.” Gait & Posture. 2012

• Mancini, et al. “Mobility Lab to Assess Balance and Gair with Synchronized Body-worn Sensors.” Bioengineering & Biomedical Science. Emerging Technology for Use in Rehabilitation Issue. 2012

• Simoes. “Feasibility of Wearable Sensors to Determine Gait Parameters.” University of South Florida. 2011

Opal Publications

Publications featuring Opal wearable sensors

 

• El-Gohary, et al. “Upper Limb Joint Angle Tracking with Inertial Sensors.” IEEE. 2011

• Abdulla, et al. “Measuring Walking and Running Cadence Using Magnetometers.” IEEE. 2012

• Aziz, et al. “Distinguishing Near-Falls from Daily Activities with Wearable Accelerometers and Gyroscopes Using Support Vector Machines.”

IEEE EMBS Conference. 2012

• Deshmukh, et al. “Enhancing Clinical Measures of Postural Stability with Wearable Sensors.” IEEE EMBS Conference. 2012.

• El-Gohary, McNames. “Shoulder and Elbow Joint Angle Tracking With Inertial Sensors.” IEEE Transactions on Biomedical Engineering. 2012

• Florentino, et al. “Hierarchical Dynamic Model for Human Daily Activity Recognition.” Universidad Carlos III de Madrid. 2012

• Florentino, et al. “Human Activity Recognition Using Inertial Sensors with Invariance to Sensor Orientation.” Universidad Carlos III de Madrid. 2012

• Kobrick, et al. “Using Inertial Measurement Units for Measuring Spacesuit Mobility and Work Envelope Capability for Intravehicular and Extravehicular Activities.” International Astronautical Congress. 2012

• Martori, et al. “Measuring Upper Limb Prosthetic Device Usage for Manipulative and Non-Manipulative Tasks.” University of South Florida. 2012

• Rigsby, Bigelow. “Validation of a Commercial Wearable Sensor System for Accurately Measuring Gait on Uneven Terrain.” University of Dayton. 2012

• Ang, et al. “Ambulatory Measurement of Elbow Kinematics Using Inertial Measurement Units.” IEEE ASME. 2013

• Bisi, Stagni. “A Longitudinal Study to Evaluate the Development of Independent Walking in Infants Using Inertial Sensors.” Gait & Posture. 2013

• Brodie, et al. “Auditory Cues at Person-Specific Asymmetry and Cadence Improve Dynamic Stability only for Parkinson’s Disease.” University of New South Whales. 2013

• Bulea, et al. “Classification of Stand-to-Sit and Sit-to-Stand Movement from Low Frequency EEG with Locality Preserving Dimensionality Reduction.” IEEE Eng Med Biol Soc. 2013

• Carey, et al. “The Role of Motion Analysis in Biomedical Engineering Education and Interdisciplinary Research.” Univeristy of South Florida. 2013

• Magalhaes, et al. “Three Dimensional Kinematic Analysis of Shoulder Through Wearable Inertial and Magnetic Sensors During Swimming Strokes Simulation.” Congress of International Society of Biomechanics. 2013

• Martori. “A Wearable Motion Analysis System to Evaluate Gait Deviations.” Univeristy of South Florida. 2013

• Matan. “Toward and Emotionally Intelligent Piano: Real-Time Emotion Detection and Performer Feedback Via Kinesthetic Sensing in Piano Performance.” University of Miami. 2013

• Riva, et al. “Influence of Input Parameters on Dynamic Orbital Stability of Walking: In-Silico and Experimental Evaluation.” PLOS One. 2013

• Stagni, et al. “Methods for the Quantification of Motor Stability for the Assessment of Fall Risk.” Universita Degli Studi Di Bologna. 2013

• Pearson, et al. “Turn Detection and Characterization with Inertial Sensors.” Sensors. 2014

• Trojaniello, et al. “Temporal Gait Parameters Determination from Shank-Worn MIMU Signals Recorded During Healthy and Pathological Gait.” Congress of International Society of Biomechanics. 2013

• Anderson, et al. “In-Suit Sensor Systems for Characterizing Human-Space Suit Interaction.” ICES. 2014

• Aziz, et al. “The Effect of Window Size and Lead Time on Pre-Impact Fall Detection Accuracy Using Support Vector Machine Analysis of Wait Mounted Inertial Sensor Data.” IEEE. 2014

• Bergamini, et al. “Estimating Orientation Using Magnetic and Inertial Sensors and Different Sensor Fusion Approaches: Accuracy Assessment in Manual and Locomotion Tasks.” Sensors. 2014

• Bergamini, et al. “A Quantitative Examination of the 20 Meter Sprint Test in Junior Wheelchair Basketball by Inertial Sensing.” Universita Degli Studi di Roma. 2014

• Brodie, et al. “Gait as a Biomarker? Accelerometers Reveal that Reduced Movement Quality while Walking is Associated with Parkinson’s Disease, Ageing and Fall Risk.” IEEE. 2014

• Brownless, et al. “Stepping to the Beat Improves Spatiotemporal Characteristics of Gait in Stroke Patients with Hemiparesis: A Proof of Concept Case Study of a Home-Based Training Intervention.” Procedia. 2014

• Cristiani, et al. “A Wearable System for Measuring Limb Movements and Balance Control Abilities Based on a Modular and Low-Cost Inertial Unit.”IEEE. 2014

• Cruz, et al. “Neural Decoding of Expressive Human Movement from Scalp Electroencephalography.” Frontiers in Human Neuroscience. 2014

• Dobkin. “Wearable Motion Sensors to Continuously Measure Real-World Physical Activities.” UCLA. 2014

• Elvira, et al. “A Novel Feature Extraction Technique for Human Activity Recognition.” Universidad Carlos III de Madrid. 2014

• Hernandez, et al. “Decoding of Intentional Actions from Scalp Electroencephalography (EEG) in Freely-Behaving Infants.” IEEE. 2014

• Howell, et al. “Dual-Task Gait Balance Control Assessment with an Inertial Measurement Unit Following Concussion.” University of Oregon. 2014

• Lee, et al. “Inertial Sensing-Based Pre-Impact Detection of Falls Involving Near-Fall Scenarios.” IEEE. 2014

• Liu, Chan. “An Accumulated Activity Effective Index for Promotiong Physical Activity: A Design and Development Study in a Mobile and Pervasive Health Context.” JMIR. 2014

• Magalhaes, Chan. “Swimming Motion Analysis: 3D Joints Kinematics of the Upper Limb Using Wearable Inertial and Magnetic Sensors.” Universita Degli Studi Di Bologna. 2014

• Menant, et al. “Visuospatial Tasks Affect Locomotor Control More than Nonspatial Tasks in Older People.” PLOS One. 2014

• O’Mohony, et al. “Objective Diagnosis of ADHD Using IMUs.” Medical Engineering & Physics. 2014

• Ricci, et al. “A New Calibration Methodology for Thorax and Upper Limbs Motion Capture in Children Using Magneto and Inertial Sensors.” Sensors. 2014

• Riva, et al. “Gait Variability and Stability Measures: Minimum Number of Strides and Within-Session Reliability.” Computers in Biology and Medicine. 2014

• Trojaniello, et al. “The Role of Quantitative Assessment in Setting-Up a Gait Rehabilitation Tool: An Experience with the Regent Suit.” University of Sassari. 2014

• Trojaniello, et al. “Stride-By-Stride Gait Spatio-Temporal Parameters Estimate from Shank-Worn IMU Recordings: Validation on Parkinson, Choreic, Hemiparetic and Healthy Elderly Subjects.” University of Sassari. 2014

• Brodie, et al. “Head and Pelvis Stride-to-Stride Oscillations in Gait: Validation and Interpretation of Measurements from Wearable Accelerometers.” Physiological Measurement. 2015

• Brodie, et al. “Uncontrolled Head Oscillations in People with Parkinson’s Disease May Reflect an Inability to Respond to Perturbations While Walking.” Physiological Measurement. 2015

• Buckley, et al. “Attenuation of Upper Body Accelerations During Gait: Piloting an Innovative Assessment Tool for Parkinson’s Disease.” University of Sheffield. 2015

• Carlson, et al. “Assessment of Movement Patterns During Intubation Between Novice and Experienced Providers Using Mobile Sensors: A Preliminary, Proof of Concept Study.” Allegheny Health Network. 2015

• Chen, et al. “Wearable Sensor-Based Rehabilitation Exercise Assessment for Knee Osteoarthritis.” Sensors. 2015

• El-Gohary, McNames. “Human Joint Angle Estimation with Inertial Sensors and Validation with a Robot Arm.” IEEE. 2015

• Fantozzi, et al. “Assessment of Three-Dimensional Joint Kinematics of the Upper Limb During Simulated Swimming Using Wearable Inertial-Magnetic Measurement Units.” Journal of Sports Sciences. 2015

• Fantozzi, et al. “Gait Kinematic Analysis in Water Using Wearable Inertial Magnetic Sensors.” PLOS One. 2015

• Mancini, et al. “Validity and Reliability of an IMU-Based Method to Detect APAs Prior to Gait Initiation.” Gait & Balance. 2015

• McGinnis, et al. “Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures used to Diagnose Femoroacetabular Impingement.” IEEE. 2015

• Shan, et al. “Investigation of Sensor-Based Quantitative Model for Badminton Skill Analysis and Assessment.” Jurnal Teknologi. 2015

• Smith, et al. “Daily Quantity of Infant Leg Movement: Wearable Sensor Algorithm and Relationship to Walking Onset.” Sensors. 2015

• Torres, Lande. “Objective and Personalized Longitudinal Assessment of a Pregnant Patient with Post Severe Brain Trauma.” Methods. 2015

• Venegas, Stirling. “Characterization of Inertial Measurement Unit Placement on the Human Body Upon Repeated Donnings.” MIT. 2015

• Brownjohn, et al. “A framework for experimental determination of localised vertical pedestrian forces on full-scale structures using wireless attitude and heading reference systems.Journal of Sound and Vibration. 2016

• Brownjohn, et al. “Footbridge System Identification Using Wireless Inertial Measurement Units for Force and Response Measurements.Journal of Sound and Vibration. 2016

Mobility Lab Whitepaper