PUBLICATIONS

PUBLICATIONS

Mobility Lab Publications

Publications featuring the mobility lab system

• Morris, et al. “Validity of MobilityLab (version 2) for gait assessment in young adults, older adults and Parkinson’s disease.” Institute of Physics and Engineering in Medicine. 2019

• Arpan, et al. “Structural neural correlates of impaired postural control in people with Secondary Progressive Multiple Sclerosis.” International Journal of MS Care. 2019

• Kilicarslan, et al. “Characterization and real-time removal of motion artifacts from EEG signals.” Journal of Neural Engineering. 2019

• Moumdjian, et al. “Continuous 12 min walking to music, metronomes and in silence: Auditory-motor coupling and its effects on perceived fatigue, motivation and gait in persons with multiple sclerosis.” Multiple Sclerosis and Related Disorders. 2019

• Taeho, et al. “Fall prediction of the elderly with a logistic regression model based on instrumented timed up & go.” Journal of Mechanical Science and Technology. 2019

• Oates, et al. “Comparing the effect of haptic modalities on walking balance control: Is using one or two arms better?” Human Movement Science. 2019

• Naoya, et al. “How to select balance measures sensitive to Parkinson’s Disease from body-worn inertial sensors.” Sensors. 2019

• Dorelle, et al. “Adjusting gait step-by-step: Brain activation during split-belt treadmill walking.” NeuroImage. 2019

• Gera, et al. “Cerebellar White Matter Damage Is Associated with Postural Sway Deficits in People With Multiple Sclerosis.” Archives of Physical Medicine and Rehabilitation. 2019

• Duchowny, et al. “Using mobile, wearable, technology to understand the role of built environment demand for outdoor mobility.” Environment and Behavior. 2018

• Fang, et al. “Reference values of gait using APDM movement monitoring inertial sensor system.” Royal Society Open Science. 2018

• Kribus-Shmiel, et al. “How many strides are required for a reliable estimation of temporal gait parameters? Implementation of a new algorithm on the phase coordination index.” PLOS One. 2018

• Pissadaki, et al. “Decomposition of complex movements into primitives for Parkinson’s Disease assessment.” IBM Journal of Research and Development. 2018

• Dixon, et al. “Gait adaptations of older adults on an uneven brick surface can be predicted by age-related physiological changes in strength.” Gait and Posture. 2018

• Howell, et al. “Worsening dual-task gait costs after concussion and their association with subsequent sport-related injury.” Journal of Neurotrauma. 2018

• Bastani, et al. “The combined effect of cranial-nerve non-invasive neuromodulation with high-intensity physiotherapy on gait and balance in a patient with cerebellar degeneration; A case report.” Cerebellum & Ataxia. 2018

• Haertner, et al. “Effect of fear of falling on turning performance in Parkinson’s Disease in the lab and at home.” Frontiers in Aging Neuroscience. 2018

• Cochen, et al. “Rhythmic abilities and musical training in Parkinson’s Disease: Do they help?” NPJ Parkinson’s Disease. 2018

• Thumm, et al. “Treadmill walking reduces prefrontal activation in patients with Parkinson’s Disease.” Gait and Posture. 2018

• Bryom, et al. “Brain monitoring devices in neuroscience clinical research: The potential of remote monitoring using sensors, wearables, and mobile devices.” Clinical Pharmacology & Therapeutics. 2018

• Gera, et al. “Inertial Sensor-Based Assessment of Central Sensory Integration for Balance After Mild Traumatic Brain Injury.” Military Medicine. 2018

• Burka, et al. “A portable wireless motion capture system for patients with Myotonic Dystrophy.” American Academy of Neurology. 2018

• Fowler, et al. “Objective evaluation of levodopa response on gait and balance.” Amerian Academy of Neurology. 2018

• Ramos, et al. “Wearable inertial sensor technology produces endpoints with good reliability in healthy volunteers and can detect changes in Parkinson Disease patients with Levodopa.” Clinical Neurophysiology. 2018

• Anand, et al. “Automatic detection of ON/OFF states in Parkinson Disease patients using wearable sensor technology.” Clinical Neurophysiology. 2018

• Ilg, et al. “Consensus paper: Neurophysiological assessments of Ataxias in daily practice.” The Cerebellum. 2018

• Storm, et al. “Free-living and laboratory gait characteristics in patients with Multiple Sclerosis.” PLOS One. 2018

• Newman, et al. “Reliability of the sub-components of the instrumented timed up and go test in ambulatory children with traumatic brain injury and typically developed controls.” Gait and Posture. 2018

• Lizama, et al. “A novel neuromodulation technique for the rehabilitation of balance and gait: A case study.” Journal of Clinical Neuroscience. 2018

• Shema-Shiratzky, et al. “Virtual reality training to enhance behavior and cognitive function among children with Attention-Deficit/Hyperactivity Disorder.” Developmental Neurorehabilitation. 2018

• Howell, et al. “Reduced Dual-task Gait Speed is Associated with Visual Go/No-go Brain Network Activation in Children and Adolescents with Concussion.” Brain Injury. 2018

• Adusumilli, et al. “Turning is an important marker of balance confidence and walking limitation in persons with Multiple Sclerosis.” PLOS One. 2018

• Parrington, et al. “Inflection points in longitudinal models: tracking recovery and return to play following concussion.” Scandinavian Journal of Medicine & Science in Sports. 2018

• Baracks, et al. “Acute sport-related concussion screening for collegiate athletes using an instrumented balance assessment.” Journal of Athletic Training. 2018

• Fino, et al. “Gait stability has phase-dependent dual-task costs in Parkinson’s Disease.” Frontiers in Neurology. 2018

• Leach, et al. “Day-to-day variability of postural sway and its association with cognitive function in older adults: A pilot study.”Frontiers in Neurology. 2018

• Tankus, et al. “Pace of Movement: The role of single neurons in the subthalamic nucleus.” Journal of Neurosurgery. 2018

• Rovini, et al. “Automated systems based on wearable sensors for the management of Parkinson’s Disease at home: A systematic review.” Telemedicine & e-Health. 2018

• Watson, et al. “The Influence of Activity-dependent Stimulation on Gait retraining in chronic stroke survivors.” Annals of Physical and Rehabilitation Medicine. 2018

• Welman. Et al. “Therapist-supervised compared to home-based balance training encourages a ‘Posture First’ strategy during turn-to-sit transitions in individuals with Parkinson’s Disease.” Annals of Physical and Rehabilitation Medicine. 2018

• Dagan, et al. “The influence of cognitive-emotional tasks as autobiographical memory recollection and future projections during walking on walking characteristics in the elderly: A pilot study.” Annals of Physical and Rehabilitation Medicine. 2018

• Dixon, et al. “Late-cueing of gait tasks on an uneven brick surface impacts coordination and center of mass control in older adults.” Gait and Posture. 2018

• Bisi, et al. “Nonlinear analysis of human movement dynamics offer new insights in the development of motor control during childhood.” Journal of Biomechanical Engineering. 2018

• Howell, et al. “Examining motor tasks of differing complexity after concussion in adolescents.” Annals of Physical and Rehabilitation Medicine.” 2018

• Anidi, et al. “Neuromodulation targets pathological not physiological beta bursts during gait in Parkinson’s Disease.” Neurobiology of Disease. 2018

• Craig, et al. “Coordination of trunk and foot acceleration during gait is affected by walking velocity and fall history in elderly adults.” Aging Clinical & Experimental Research. 2018

• Li, et al. “Effectiveness of a therapeutic Tai Ji Quan intervention vs a multimodal exercise intervention to prevent falls among older adults at high risk of falling- A randomized clinical trial.” JAMA Internal Medicine. 2018

• O’Keefe, et al. “Cognitive function impacts gait, functional mobility and falls in fragile X-associated tremor / Ataxia Syndrome.” Gait and Posture. 2018

• Prosser, et al. “iMOVE: Intensive mobility training with variability and error compared to conventional rehabilitation for young children with Cerebral Palsy.” BMC Pediatrics. 2018

• Sirhan, et al. “Is the dual-task cost of walking and texting unique in people with Multiple Sclerosis?” Journal of Neural Transmission. 2018

• Loy, et al. “Effects of lipoic acid on walking performance, gait, and balance in secondary progressive Multiple Sclerosis.” Complementary Therapies in Medicine. 2018

• Dobkin, et al. “Wearable sensors to monitor, enable feedback, and measure outcomes of activity and practice.” Current Neurology & Neuroscience Reports. 2018

• Swanson, et al. “Associations between gait coordination, variability and motor cortex inhibition in young and older adults.” Experimental Gerontology. 2018

• Rahman, et al. “Effect of Dual-Task conditions on gait performance during timed up and go test in children with traumatic brain injury.” Rehabilitation Research and Practice. 2018

• 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

• Contini, et al. “A wearable gait analysis protocol to support the choice of the appropriate ankle foot orthosis: A comparative assessment in children with Cerebral Palsy.” Clinical Biomechanics. 2019

• Statland, et al. “A Pilot Study of the Responsiveness of Wireless Motion Analysis in Facioscapulohumeral Muscular Dystrophy.” Muscle and Nerve. 2019

• Maidan, et al. “A new approach to quantifying the EEG during walking: Initial evidence of gait related potentials and their changes with aging and dual tasking.” Experimental Gerontology. 2019

• Talysson, et al. “A low-cost wireless system of inertial sensors to postural analysis during human movement.” Measurement. 2019

• Stuart, et al. “Analysis of Free-living mobility in people with mild traumatic brain injury and healthy controls: Quality over quantity.” Journal of Neurotrauma. 2019

• Parrington, et al. “Exploring how to quantify stage 4 of the return to sport protocol in previously concussed college athletes.” 37th International Society of Biomechanics in Sport Conference. 2019

• Fortune, et al. “Estimation of manual wheelchair-based activities in the free-living environment using a neural network model with inertial body-worn sensors.” Journal of Electromyography and Kinesiology. 2019

• Lepetita, et al. “Optimized scoring tool to quantify the functional performance during the sit-to-stand transition with a magneto-inertial measurement unit.” Gait and Posture. 2019

• Pozzi, et al. “Freezing of gait in Parkinson’s disease reflects a sudden derangement of locomotor network dynamics.” Brain. 2019

• Morrisa, et al. “Cognitive associations with comprehensive gait and static balance measures in Parkinson’s disease.” Parkinsonism & Related Disorders. 2019

• Heilbronn, et al. “Anticipatory postural adjustments are modulated by substantia nigra stimulation in people with Parkinson’s disease and freezing of gait.” Parkinsonism & Related Disorders. 2019

• Cortessi, et al. “Inertial sensors in swimming: Detection of stroke phases through 3D wrist trajectory.” Journal of Sports Science and Medicine. 2019

• Miller, et al. “Cross-sectional validation of inertial measurement units for estimating trunk flexion kinematics during treadmill disturbances.” Medical Engineering & Physics. 2019

• Soczawa, et al. “Topological assessment of gait synchronisation in overground walking groups.” Human Movement Science. 2019

• Schaeffer, et al. “Effects of exergaming on attentional deficits and dual-tasking in Parkinson’s Disease.” Frontiers in Neurology. 2019

• Dixon, et al. “Effect of walking surface, late-cueing, physiological characteristics of aging, and gait parameters on turn style preference in healthy, older adults.” Human Movement Science. 2019

• Dotov, et al. “The role of interaction and predictability in the spontaneous entrainment of movement.” Journal of Experimental Psychology. 2019

• Krishnamurthi, et al. “A comprehensive Movement and Motion training program improves mobility in Parkinson’s disease.” Aging Clinical and Experimental Research. 2019

• Loyd, et al. “Rehabilitation to improve gaze and postural stability in people with multiple sclerosis: study protocol for a prospective randomized clinical trial.” BMC Neurology. 2019

• Monje, et al. “New sensor and wearable technologies to aid in the diagnosis and treatment monitoring of Parkinson’s Disease.” The Annual Review of Biomedical Engineering. 2019

• Howell, et al. “Identification of post-concussion Dual-Task gait abnormalities using normative reference values.” Human Kinetics. 2019

• Deng, et al. “How many days are necessary to represent an infant’s typical daily leg movement behavior using wearable sensors?” Physical Therapy. 2019

• Hershkovitz, et al. “The contribution of the instrumented timed-up-and-go test to detect falls and fear of falling in people with Multiple Sclerosis.” Multiple Sclerosis & Related Disorders. 2018

• Ozdemir, et al. “Cortical control of upright stance in elderly.” Mechanisms of Ageing and Development. 2018

• Bocian, et al. “Time-dependent spectral analysis of interactions within groups of walking pedestrians and vertical structural motion using wavelets.” Mechanical Systems and Signal Processing. 2018

• Hester, et al. “Using Inertial measurement units originally developed for biomechanics for modal testing of civil engineering structures.” Mechanical Systems and Signal Processing. 2018

• Hu, et al. “Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface and age-related differences in walking.” Journal of Biomechanics. 2018

• Ingraham, et al. “Using portable physiological sensors to estimate energy cost for ‘Body-in-the-Loop’ optimization of assistive robotic devices.” IEEE. 2018

• Cahill-Rowley, et al. “Temporal-spatial reach parameters derived from inertial sensors correlate to neurodevelopment in Toddlers Born Preterm.” Journal of Biomechanics. 2018

• Tammana, et al. “Load-embedded inertial measurement unit reveals lifting performance.” Applied Ergonomics. 2018

• Schniepp, et al. “Noisy vestibular stimulation improves vestibulospinal function in patients with bilateral vestibulopathy.” Journal of Neurology. 2018

• Jeong, et al. “Design of a brain-controlled robot arm system based on upper-limb movement imagery.” International Conference on Brain-Computer Interface. 2018

• Washabaugh, et al. “A wearable resistive robot facilitates locomotor adaptations during gait.”IOS Press. 2018

• Nez, et al. “Simple and efficient thermal calibration for MEMS gyroscopes.” Mechanical Engineering & Physics. 2018

• Torres, et al. “Statistical platform for individualized behavioral analyses using biophysical micro-movement spikes.” Sensors. 2018

• Yurteri-Kaplan, et al. “Sitting versus standing makes a difference in musculoskeletal discomfort and postural load for surgeons performing vaginal surgery.” International Urogynecology Journal. 2018

• Madigan, et al. “A reactive balance rating method that correlates with kinematics after trip-like perturbations on a treadmill and fall risk among residents of older adult congregate housing.” The Journals of Gerontology. 2018

• Brownjohn, et al. “Using inertial measurement units to identify medio-lateral ground reaction forces due to walking and swaying.” Journal of Sound and Vibration. 2018

• Psarakis, et al. “Wearable technology reveals gait compensations, unstable walking patterns and fatigue in people with Multiple Sclerosis.” Physiological Measurement. 2018

• Biase, et al. “Quantitative analysis of Bradykinesia and rigidity in Parkinson’s Disease.” Frontiers in Neurology

• Irrera, et al. “Editorial: New advanced wireless technologies for objective monitoring of motor symptoms in Parkinson’s disease.” Frontiers in Neurology. 2018

• Lachance, et al. “Hand forces exerted by long-term care staff when pushing wheelchairs on compliant and non-compliant flooring.” Applied Ergonomics. 2018

• Bertoli, et al. “Transition-aware housekeeping task monitoring using single wrist-worn sensor.” IEEE. 2018

• Stirling, et al. “Examination of the perceived agility and balance during a reactive agility task.” PLoS ONE. 2018

• Chiang, et al. “Data collection and analysis using wearable sensors for monitoring knee range of motion after total knee arthroplasty.” Sensors. 2018

• Bahadori, et al. “A review of wearable motion tracking systems used in rehabilitation following hip and knee replacement.” Journal of Rehabilitation and Assistive Technologies Engineering. 2018

• Bertoli, et al. “Can MIMUs positioned on the ankles provide a reliable detection and characterization of U-turns in gait?” IEEE. 2018

• Ngoh, et al. “Estimation of vertical ground reaction force during running using neural network model and uniaxial accelerometer.” Journal of Biomechanics. 2018

• Pancani, et al. “Efficacy of the head up collar in facilitating functional head movements in patients with Amyotrophic Lateral Sclerosis.” Clinical Biomechanics. 2018

• Havens, et al. “Accelerations from wearable accelerometers reflect knee loading during running after anterior cruciate ligament reconstruction.” Clinical Biomechanics. 2018

• Ang, et al. “Objective assessment of spasticity with a method based on a human upper limb model.” IEEE. 2018

• Pratt, et al. “Detection of knee power deficits following ACL reconstruction using wearable sensors.” Journal of Orthopaedic & Sports Physical Therapy. 2018

• Duclos, et al. “Using inertial signals to characterize main lower limb gait patterns in individuals post-stroke.” Annals of Physical and Rehabilitation Medicine. 2018

• Paradisi, et al. “Upper body accelerations during level walking in transtibial amputees.” Prosthetics & Orthotics International. 2018

• Beange, et al. “Evaluation of wearable IMU performance for orientation estimation and motion tracking.” IEEE. 2018

• Tosi, et al. “Feature extraction in Sit-to-Stand task using M-IMU sensors and evaluation in Parkinson’s Disease.” IEEE. 2018

• Iosa, et al. “Usefulness of magneto-inertial wearable devices in neurorehabilitation of children with Cerebral Palsy.” Applied Bionics & Biomechanics. 2018

• Kalampratsidou, et al. “Peripheral network connectivity analyses for the real-time tracking of couples bodies in motion.” Sensors. 2018

• Liu, et al. “Transition-aware housekeeping task monitoring using single wrist-worn sensor.” IEEE. 2018

• Zeca, et al. “Estimation of centre of pressure from wearable inertial sensors.” IEEE. 2018

• Fineman, et al. “Objective metrics quantifying fit and performance in spacesuit assemblies.” Aerospace Medicine & Human Performance. 2018

• Asadi, et al. “Ergonomics in veterinary surgery-risk assessment with intraoperative motion tracking.” Human Factors & Ergonomics Society. 2018

• Bocian, 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

• 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

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

• 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

• 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

• 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

• 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

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

Mobility Lab Whitepaper