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Ryan McGinnis

TitleAssociate Professor
InstitutionWake Forest School of Medicine
DepartmentBiomedical Engineering
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    TitleDirector
    InstitutionWake Forest School of Medicine


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. Loftness BC, Halvorson-Phelan J, O'Leary A, Bradshaw C, Prytherch S, Berman I, Torous J, Copeland WL, Cheney N, McGinnis RS, McGinnis EW. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. medRxiv. 2023 Nov 29. PMID: 38076802.
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    2. Loftness BC, Halvorson-Phelan J, OLeary A, Bradshaw C, Prytherch S, Berman I, Torous J, Copeland WL, Cheney N, McGinnis RS, McGinnis EW. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE J Biomed Health Inform. 2023 Nov 29; PP. PMID: 38019617.
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    3. Price M, Hidalgo JE, Bird YM, Bloomfield LSP, Buck C, Cerutti J, Dodds PS, Fudolig MI, Gehman R, Hickok M, Kim J, Llorin J, Lovato J, McGinnis EW, McGinnis RS, Norton R, Ramirez V, Stanton K, Ricketts TH, Danforth CM. A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study. Contemp Clin Trials. 2023 Oct; 133:107338. PMID: 37722484.
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    4. McGinnis EW, Lunna S, Berman I, Loftness BC, Bagdon S, Danforth CM, Price M, Copeland WE, McGinnis RS. Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4. PMID: 38083448.
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    5. Loftness BC, Rizzo DM, Halvorson-Phelan J, O'Leary A, Prytherch S, Bradshaw C, Brown AJ, Cheney N, McGinnis EW, McGinnis RS. Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4. PMID: 38082795.
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    6. Loftness BC, Bernstein I, McBride CA, Cheney N, McGinnis EW, McGinnis RS. Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4. PMID: 38083443.
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    7. VanDyk T, Meyer B, DePetrillo P, Donahue N, O'Leary A, Fox S, Cheney N, Ceruolo M, Solomon AJ, McGinnis RS. Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis. IEEE Trans Neural Syst Rehabil Eng. 2023; 31:2279-2286. PMID: 37115839.
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    8. Meyer BM, Cohen JG, Donahue N, Fox SR, O'Leary A, Brown AJ, Leahy C, VanDyk T, DePetrillo P, Ceruolo M, Cheney N, Solomon AJ, McGinnis RS. Chest-Based Wearables and Individualized Distributions for Assessing Postural Sway in Persons With Multiple Sclerosis. IEEE Trans Neural Syst Rehabil Eng. 2023; 31:2132-2139. PMID: 37067975.
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    9. McGinnis EW, Lunna S, Berman I, Loftness BC, Bagdon S, Danforth CM, Price M, Copeland WE, McGinnis RS. Discovering Digital Biomarkers of Panic Attack Risk in Consumer Wearables Data. medRxiv. 2023 Mar 06. PMID: 36909613.
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    10. Loftness BC, Bernstein I, McBride CA, Cheney N, McGinnis EW, McGinnis RS. Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy. medRxiv. 2023 Mar 06. PMID: 36945548.
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    11. Potter MV, Cain SM, Ojeda LV, Gurchiek RD, McGinnis RS, Perkins NC. Evaluation of Error-State Kalman Filter Method for Estimating Human Lower-Limb Kinematics during Various Walking Gaits. Sensors (Basel). 2022 Nov 01; 22(21). PMID: 36366096.
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    12. Meyer BM, Tulipani LJ, Gurchiek RD, Allen DA, Solomon AJ, Cheney N, McGinnis RS. Open-source dataset reveals relationship between walking bout duration and fall risk classification performance in persons with multiple sclerosis. PLOS Digit Health. 2022 Oct; 1(10):e0000120. PMID: 36812538.
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    13. Meyer BM, Depetrillo P, Franco J, Donahue N, Fox SR, O'Leary A, Loftness BC, Gurchiek RD, Buckley M, Solomon AJ, Ng SK, Cheney N, Ceruolo M, McGinnis RS. How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. Sensors (Basel). 2022 Sep 15; 22(18). PMID: 36146348.
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    14. Loftness BC, Halvorson-Phelan J, O'Leary A, Cheney N, McGinnis EW, McGinnis RS. UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul; 2022:1141-1144. PMID: 36085630.
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    15. McGinnis RS, McGinnis EW. Advancing Digital Medicine with Wearables in the Wild. Sensors (Basel). 2022 Jun 17; 22(12). PMID: 35746358.
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    16. Tulipani LJ, Meyer B, Fox S, Solomon AJ, Mcginnis RS. The Sit-to-Stand Transition as a Biomarker for Impairment: Comparison of Instrumented 30-Second Chair Stand Test and Daily Life Transitions in Multiple Sclerosis. IEEE Trans Neural Syst Rehabil Eng. 2022; 30:1213-1222. PMID: 35468063.
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    17. Little C, Moore C, Bean E, Peters DM, McGinnis RS, Kasser SL. Acute effects of axial loading on postural control during walking and turning in people with multiple sclerosis: A pilot study. Gait Posture. 2022 May; 94:102-106. PMID: 35259637.
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    18. Tulipani LJ, Meyer B, Allen D, Solomon AJ, McGinnis RS. Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis. Gait Posture. 2022 May; 94:19-25. PMID: 35220031.
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    19. McGinnis E, O'Leary A, Gurchiek R, Copeland WE, McGinnis R. A Digital Therapeutic Intervention Delivering Biofeedback for Panic Attacks (PanicMechanic): Feasibility and Usability Study. JMIR Form Res. 2022 Feb 03; 6(2):e32982. PMID: 35113031.
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    20. Gurchiek RD, Donahue N, Fiorentino NM, McGinnis RS. Wearables-Only Analysis of Muscle and Joint Mechanics: An EMG-Driven Approach. IEEE Trans Biomed Eng. 2022 Feb; 69(2):580-589. PMID: 34351852.
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    21. Weed L, Little C, Kasser SL, McGinnis RS. A Preliminary Investigation of the Effects of Obstacle Negotiation and Turning on Gait Variability in Adults with Multiple Sclerosis. Sensors (Basel). 2021 Aug 28; 21(17). PMID: 34502697.
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    22. McGinnis EW, Scism J, Hruschak J, Muzik M, Rosenblum KL, Fitzgerald K, Copeland W, McGinnis RS. Digital Phenotype for Childhood Internalizing Disorders: Less Positive Play and Promise for a Brief Assessment Battery. IEEE J Biomed Health Inform. 2021 Aug; 25(8):3176-3184. PMID: 33481724.
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    23. Meyer BM, Tulipani LJ, Gurchiek RD, Allen DA, Adamowicz L, Larie D, Solomon AJ, Cheney N, McGinnis RS. Wearables and Deep Learning Classify Fall Risk From Gait in Multiple Sclerosis. IEEE J Biomed Health Inform. 2021 May; 25(5):1824-1831. PMID: 32946403.
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    24. Potter MV, Cain SM, Ojeda LV, Gurchiek RD, McGinnis RS, Perkins NC. Error-state Kalman filter for lower-limb kinematic estimation: Evaluation on a 3-body model. PLoS One. 2021; 16(4):e0249577. PMID: 33878142.
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    25. McGinnis RS, McGinnis EW, Petrillo C, Ferri J, Scism J, Price M. Validation of Smartphone Based Heart Rate Tracking for Remote Treatment of Panic Attacks. IEEE J Biomed Health Inform. 2021 Mar; 25(3):656-662. PMID: 32750933.
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    26. McGinnis RW, Sztandera L, Ruane J, Vadigepalli R. Analyzing the relationships between city opioid deaths and socioeconomic factors. J Opioid Manag. 2021; 17(5):363-382. PMID: 34714537.
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    27. LeBlanc B, Hernandez EM, McGinnis RS, Gurchiek RD. Continuous estimation of ground reaction force during long distance running within a fatigue monitoring framework: A Kalman filter-based model-data fusion approach. J Biomech. 2021 Jan 22; 115:110130. PMID: 33257007.
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    28. McClure K, Erdreich B, Bates JHT, McGinnis RS, Masquelin A, Wshah S. Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning. Sensors (Basel). 2020 Nov 13; 20(22). PMID: 33202857.
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    29. Gurchiek RD, Ursiny AT, McGinnis RS. A Gaussian Process Model of Muscle Synergy Functions for Estimating Unmeasured Muscle Excitations Using a Measured Subset. IEEE Trans Neural Syst Rehabil Eng. 2020 Nov; 28(11):2478-2487. PMID: 33001805.
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    30. Seel T, Kok M, McGinnis RS. Inertial Sensors-Applications and Challenges in a Nutshell. Sensors (Basel). 2020 Oct 31; 20(21). PMID: 33142738.
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    31. Hewgill B, McGinnis RS, Frolik J. A Modular Open Source Health Monitoring Garment. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul; 2020:4510-4513. PMID: 33018996.
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    32. Gurchiek RD, Ursiny AT, McGinnis RS. Modeling Muscle Synergies as a Gaussian Process: Estimating Unmeasured Muscle Excitations using a Measured Subset. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul; 2020:3110-3113. PMID: 33018663.
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    33. Tulipani LJ, Meyer B, Larie D, Solomon AJ, McGinnis RS. Metrics extracted from a single wearable sensor during sit-stand transitions relate to mobility impairment and fall risk in people with multiple sclerosis. Gait Posture. 2020 Jul; 80:361-366. PMID: 32615409.
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    34. Gurchiek RD, Garabed CP, McGinnis RS. Gait event detection using a thigh-worn accelerometer. Gait Posture. 2020 Jul; 80:214-216. PMID: 32535399.
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    35. Stevens T, McGinnis RS, Hewgill B, Choquette RH, Tourville TW, Harvey J, Lachapelle R, Beynnon BD, Toth MJ, Skalka C. A Cyber-Physical System for Near Real-Time Monitoring of At-Home Orthopedic Rehabilitation and Mobile-Based Provider-Patient Communications to Improve Adherence: Development and Formative Evaluation. JMIR Hum Factors. 2020 May 11; 7(2):e16605. PMID: 32384052.
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    36. Gurchiek RD, Choquette RH, Beynnon BD, Slauterbeck JR, Tourville TW, Toth MJ, McGinnis RS. Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application. Sci Rep. 2019 Nov 29; 9(1):17966. PMID: 31784691.
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    37. Gurchiek RD, Cheney N, McGinnis RS. Estimating Biomechanical Time-Series with Wearable Sensors: A Systematic Review of Machine Learning Techniques. Sensors (Basel). 2019 Nov 28; 19(23). PMID: 31795151.
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    38. Adamowicz L, Gurchiek RD, Ferri J, Ursiny AT, Fiorentino N, McGinnis RS. Validation of Novel Relative Orientation and Inertial Sensor-to-Segment Alignment Algorithms for Estimating 3D Hip Joint Angles. Sensors (Basel). 2019 Nov 24; 19(23). PMID: 31771263.
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    39. Nelms NJ, Birch CE, Halsey DH, Blankstein M, McGinnis RS, Beynnon BD. Assessment of Early Gait Recovery After Anterior Approach Compared to Posterior Approach Total Hip Arthroplasty: A Smartphone Accelerometer-Based Study. J Arthroplasty. 2020 Feb; 35(2):465-470. PMID: 31629624.
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    40. Frechette ML, Meyer BM, Tulipani LJ, Gurchiek RD, McGinnis RS, Sosnoff JJ. Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis. Curr Neurol Neurosci Rep. 2019 Sep 04; 19(10):80. PMID: 31485896.
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    41. McGinnis EW, Anderau SP, Hruschak J, Gurchiek RD, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M, McGinnis RS. Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood. IEEE J Biomed Health Inform. 2019 Nov; 23(6):2294-2301. PMID: 31034426.
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    42. Gurchiek RD, Rupasinghe Arachchige Don HS, Pelawa Watagoda LCR, McGinnis RS, van Werkhoven H, Needle AR, McBride JM, Arnholt AT. Sprint Assessment Using Machine Learning and a Wearable Accelerometer. J Appl Biomech. 2019 Apr 01; 35(2):164-169. PMID: 30676153.
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    43. McGinnis RS, McGinnis EW, Hruschak J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M. Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning. PLoS One. 2019; 14(1):e0210267. PMID: 30650109.
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    44. Jortberg E, Silva I, Bhatkar V, McGinnis RS, Sen-Gupta E, Morey B, Wright JA, Pindado J, Bianchi MT. A novel adhesive biosensor system for detecting respiration, cardiac, and limb movement signals during sleep: validation with polysomnography. Nat Sci Sleep. 2018; 10:397-408. PMID: 30538592.
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    45. Sun R, McGinnis R, Sosnoff JJ. Novel technology for mobility and balance tracking in patients with multiple sclerosis: a systematic review. Expert Rev Neurother. 2018 Nov; 18(11):887-898. PMID: 30301382.
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    46. Jasensky J, Ferguson K, Baria M, Zou X, McGinnis R, Kaneshiro A, Badieyan S, Wei S, Marsh ENG, Chen Z. Simultaneous Observation of the Orientation and Activity of Surface-Immobilized Enzymes. Langmuir. 2018 Aug 07; 34(31):9133-9140. PMID: 29993252.
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    47. McGinnis RS, McGinnis EW, Hruschak J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M. Rapid Anxiety and Depression Diagnosis in Young Children Enabled by Wearable Sensors and Machine Learning. Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul; 2018:3983-3986. PMID: 30441231.
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    48. McGinnis EW, McGinnis RS, Hruschak J, Bilek E, Ip K, Morlen D, Lawler J, Lopez-Duran NL, Fitzgerald K, Rosenblum KL, Muzik M. Wearable sensors detect childhood internalizing disorders during mood induction task. PLoS One. 2018; 13(4):e0195598. PMID: 29694369.
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    49. Sun R, Moon Y, McGinnis RS, Seagers K, Motl RW, Sheth N, Wright JA, Ghaffari R, Patel S, Sosnoff JJ. Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor. Digit Biomark. 2018; 2(1):1-10. PMID: 32095755.
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    50. Vitali RV, Cain SM, McGinnis RS, Zaferiou AM, Ojeda LV, Davidson SP, Perkins NC. Method for Estimating Three-Dimensional Knee Rotations Using Two Inertial Measurement Units: Validation with a Coordinate Measurement Machine. Sensors (Basel). 2017 Aug 27; 17(9). PMID: 28846613.
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    51. Gurchiek RD, McGinnis RS, Needle AR, McBride JM, van Werkhoven H. The use of a single inertial sensor to estimate 3-dimensional ground reaction force during accelerative running tasks. J Biomech. 2017 Aug 16; 61:263-268. PMID: 28830590.
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    52. McGinnis RS, Mahadevan N, Moon Y, Seagers K, Sheth N, Wright JA, DiCristofaro S, Silva I, Jortberg E, Ceruolo M, Pindado JA, Sosnoff J, Ghaffari R, Patel S. A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. PLoS One. 2017; 12(6):e0178366. PMID: 28570570.
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    53. Moon Y, McGinnis RS, Seagers K, Motl RW, Sheth N, Wright JA, Ghaffari R, Sosnoff JJ. Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS One. 2017; 12(2):e0171346. PMID: 28178288.
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    54. McGinnis EW, McGinnis RS, Muzik M, Hruschak J, Lopez-Duran NL, Perkins NC, Fitzgerald K, Rosenblum KL. Movements Indicate Threat Response Phases in Children at Risk for Anxiety. IEEE J Biomed Health Inform. 2017 Sep; 21(5):1460-1465. PMID: 27576271.
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    55. Patel S, McGinnis RS, Silva I, DiCristofaro S, Mahadevan N, Jortberg E, Franco J, Martin A, Lust J, Raj M, McGrane B, DePetrillo P, Aranyosi AJ, Ceruolo M, Pindado J, Ghaffari R. A wearable computing platform for developing cloud-based machine learning models for health monitoring applications. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:5997-6001. PMID: 28269619.
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    56. McGinnis RS, Patel S, Silva I, Mahadevan N, DiCristofaro S, Jortberg E, Ceruolo M, Aranyosi AJ. Skin mounted accelerometer system for measuring knee range of motion. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug; 2016:5298-5302. PMID: 28269456.
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    57. Davidson SP, Cain SM, McGinnis RS, Vitali RR, Perkins NC, McLean SG. Quantifying warfighter performance in a target acquisition and aiming task using wireless inertial sensors. Appl Ergon. 2016 Sep; 56:27-33. PMID: 27184308.
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    58. Cain SM, McGinnis RS, Davidson SP, Vitali RV, Perkins NC, McLean SG. Quantifying performance and effects of load carriage during a challenging balancing task using an array of wireless inertial sensors. Gait Posture. 2016 Jan; 43:65-9. PMID: 26669954.
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    59. McGinnis RS, Cain SM, Tao S, Whiteside D, Goulet GC, Gardner EC, Bedi A, Perkins NC. Accuracy of Femur Angles Estimated by IMUs During Clinical Procedures Used to Diagnose Femoroacetabular Impingement. IEEE Trans Biomed Eng. 2015 Jun; 62(6):1503-13. PMID: 25608299.
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    60. Nesbit SM, McGinnis RS. Kinetic constrained optimization of the golf swing hub path. J Sports Sci Med. 2014 Dec; 13(4):859-73. PMID: 25435779.
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    61. McGinnis RS, Perkins NC. Inertial sensor based method for identifying spherical joint center of rotation. J Biomech. 2013 Sep 27; 46(14):2546-9. PMID: 23932326.
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    62. Nesbit SM, McGinnis R. Kinematic analyses of the golf swing hub path and its role in golfer/club kinetic transfers. J Sports Sci Med. 2009; 8(2):235-46. PMID: 24149532.
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    63. The JS, Schilling KJ, Hoffmeister JW, Friedmann E, McGinnis R, Holcomb RG. Detection of breast cancer with full-field digital mammography and computer-aided detection. AJR Am J Roentgenol. 2009 Feb; 192(2):337-40. PMID: 19155392.
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