Wearables and deep learning classify fall risk from gait in multiple sclerosis BM Meyer, LJ Tulipani, RD Gurchiek, DA Allen, L Adamowicz, D Larie, ... IEEE journal of biomedical and health informatics, 2020 | 58 | 2020 |
Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles L Adamowicz, RD Gurchiek, J Ferri, AT Ursiny, N Fiorentino, RS McGinnis Sensors 19 (23), 5143, 2019 | 22 | 2019 |
Assessment of Sit-to-Stand Transfers during Daily Life Using an Accelerometer on the Lower Back L Adamowicz, FI Karahanoglu, C Cicalo, H Zhang, C Demanuele, ... Sensors 20 (22), 6618, 2020 | 18 | 2020 |
Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back L Adamowicz, S Patel Journal of Open Source Software 5 (52), 2449, 2020 | 5 | 2020 |
Transitioning Assessments from the Clinic to Daily Life: Exploring Sit-to-Stand Transition Rates As a Means for Assessing Symptom Fluctuation LJ Tulipani, L Adamowicz, RD Gurchiek, L Weed, H Warren, AJ Solomon, ... ACTRIMS Forum 2019, 2019 | | 2019 |
Wearable Sensor-Based Characterization of Gait Biomechanics in Persons with Multiple Sclerosis: Comparing in-Lab and Daily Life Observations RD Gurchiek, L Adamowicz, LJ Tulipani, L Weed, AJ Solomon, ... ACTRIMS Forum 2019, 2019 | | 2019 |
Functional Rotation Axis Based Approach for Estimating Hip Joint Angles Using Wearable Inertial Sensors: Comparison to Existing Methods L Adamowicz | | 2019 |
Feasibility of a Novel, Conformal, Wearable Sensor System for Longitudinal Patient Monitoring RS McGinnis, S DiCristofaro, N Mahadevan, E Sen-Gupta, L Weed, ... | | |