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

• Walther, et al. “Feasibility and Validity of Discriminating Yaw Plane Head on Trunk Motion Using Inertial Wearable Sensors.” IEEE. 2017

• Ingraham, et al. “Using Wearable Physiological Sensors to Predict Energy Expenditure.” Rehabilitation Robotics. 2017

• Jiang, et al. “Determining if Wearable Sensors Affect Infant Leg Movement Frequency.” Developmental Neurorehabilitation. 2017

• Smith, et al. “Sample Entropy Identifies Differences in Spontaneous Leg Movement Behavior Between Infants with Typical Development and Infants at Risk of Developmental Delay.” Technologies. 2017

• Trujillo-Priego, et al. “Development of a Wearable Sensor Algorithm to Detect the Quantity and Kinematic Characteristics of Infant Arm Movement Bouts Produced Across a Full Day in the Natural Environment.” Technologies. 2017

• Bonora, et al. “Instrumenting the Rise-to-Toes Task with Wearable Inertial Sensors: A Pilot Application in Parkinson’s Disease and Frontal Gait Disorders.” Gait and Posture. 2017

• Bisi, et al. “A Wavelet-based Energetic Approach for the Detection of Contact Events During Movement.” Gait and Posture. 2017

• Chew, et al. “Estimating Running Spatial and Temporal Parameters Using an Inertial Sensor.” Sports Engineering. 2017

• Waks, et al. “Wrist Sensor Fusion Enables Robust Gait Quantification Across Walking Scenarios.” Neural Information Processing Systems. 2017

• Tulipani, et al. “Validation of an Inertial Sensor System for Physical Therapists to Quantify Movement Coordination During Functional Tasks.” Journal of Applied Biomechanics. 2017

• Vitali, et al. “Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine.” Sensors. 2017

• Rose, et al. “Wearable Inertial Sensors Allow for Quantitative Assessment of Shoulder and Elbow Kinematics in a Cadaveric Knee Arthroscopy Model.” Arthroscopy. 2017

• Lowndes, et al. “Tactile Feedback Wearable During a Surgical Simulation: Pilot Study Indicates no Distraction, Frustration or Performance Decrement for Users.” Design of Medical Devices Conference. 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

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

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