Published on in Vol 6, No 1 (2018): January
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/8815, first published
.
Journals
- Zafonte R, Pascual‐Leone A, Baggish A, Weisskopf M, Taylor H, Connor A, Baker J, Cohan S, Valdivia C, Courtney T, Cohen I, Speizer F, Nadler L. The Football Players’ Health Study at Harvard University: Design and objectives. American Journal of Industrial Medicine 2019;62(8):643 View
- Kobsar D, Charlton J, Tse C, Esculier J, Graffos A, Krowchuk N, Thatcher D, Hunt M. Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis. Journal of NeuroEngineering and Rehabilitation 2020;17(1) View
- Guillén-Rogel P, Franco-Escudero C, Marín P. Test-retest reliability of a smartphone app for measuring core stability for two dynamic exercises. PeerJ 2019;7:e7485 View
- Tang Y, Li Z, Tian H, Ding J, Lin B. Detecting Toe-Off Events Utilizing a Vision-Based Method. Entropy 2019;21(4):329 View
- Steinert A, Sattler I, Otte K, Röhling H, Mansow-Model S, Müller-Werdan U. Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System. Sensors 2019;20(1):125 View
- Martin E, Kim S, Unfried A, Delcambre S, Sanders N, Bischoff B, Saavedra R. 6th vital sign app: Testing validity and reliability for measuring gait speed. Gait & Posture 2019;68:264 View
- Zhong R, Rau P. Are cost-effective technologies feasible to measure gait in older adults? A systematic review of evidence-based literature. Archives of Gerontology and Geriatrics 2020;87:103970 View
- Fujiwara S, Sato S, Sugawara A, Nishikawa Y, Koji T, Nishimura Y, Ogasawara K. The Coefficient of Variation of Step Time Can Overestimate Gait Abnormality: Test-Retest Reliability of Gait-Related Parameters Obtained with a Tri-Axial Accelerometer in Healthy Subjects. Sensors 2020;20(3):577 View
- Manor B, Zhou J, Lo O, Zhu H, Gouskova N, Yu W, Zafonte R, Lipsitz L, Travison T, Pascual‐Leone A. Self‐Reported Head Trauma Predicts Poor Dual Task Gait in Retired National Football League Players. Annals of Neurology 2020;87(1):75 View
- Erickson K, Grove G, Burns J, Hillman C, Kramer A, McAuley E, Vidoni E, Becker J, Butters M, Gray K, Huang H, Jakicic J, Kamboh M, Kang C, Klunk W, Lee P, Marsland A, Mettenburg J, Rogers R, Stillman C, Sutton B, Szabo-Reed A, Verstynen T, Watt J, Weinstein A, Wollam M. Investigating Gains in Neurocognition in an Intervention Trial of Exercise (IGNITE): Protocol. Contemporary Clinical Trials 2019;85:105832 View
- Zhong R, Rau P. A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation. JMIR mHealth and uHealth 2020;8(5):e14453 View
- Park J, Kim T. Reliability and Validity of a Smartphone-based Assessment of Gait Parameters in Patients with Chronic Stroke. Journal of The Korean Society of Physical Medicine 2018;13(3):19 View
- Cattaneo G, Bartrés-Faz D, Morris T, Sánchez J, Macià D, Tarrero C, Tormos J, Pascual-Leone A. The Barcelona Brain Health Initiative: A Cohort Study to Define and Promote Determinants of Brain Health. Frontiers in Aging Neuroscience 2018;10 View
- Jim H, Hoogland A, Brownstein N, Barata A, Dicker A, Knoop H, Gonzalez B, Perkins R, Rollison D, Gilbert S, Nanda R, Berglund A, Mitchell R, Johnstone P. Innovations in research and clinical care using patient‐generated health data. CA: A Cancer Journal for Clinicians 2020;70(3):182 View
- Takayanagi N, Sudo M, Yamashiro Y, Lee S, Kobayashi Y, Niki Y, Shimada H. Relationship between Daily and In-laboratory Gait Speed among Healthy Community-dwelling Older Adults. Scientific Reports 2019;9(1) View
- Chien J, Torres-Russotto D, Wang Z, Gui C, Whitney D, Siu K, Barbieri F. The use of smartphone in measuring stance and gait patterns in patients with orthostatic tremor. PLOS ONE 2019;14(7):e0220012 View
- Sato S, Fujiwara S, Miyoshi K, Chida K, Kobayashi M, Kubo Y, Yoshida K, Terasaki K, Ogasawara K. Improvement in gait function after carotid endarterectomy is associated with postoperative recovery in perfusion and neurotransmitter receptor function in the motor-related cerebral cortex: a 123I-iomazenil SPECT study. Nuclear Medicine Communications 2020;41(11):1161 View
- Montero-Odasso M, Sarquis-Adamson Y, Kamkar N, Pieruccini-Faria F, Bray N, Cullen S, Mahon J, Titus J, Camicioli R, Borrie M, Bherer L, Speechley M. Dual-task gait speed assessments with an electronic walkway and a stopwatch in older adults. A reliability study. Experimental Gerontology 2020;142:111102 View
- Takahashi T, Fujiwara S, Igarashi S, Ando T, Chida K, Kobayashi M, Yoshida K, Koji T, Kubo Y, Ogasawara K. Comparison of Subjective and Objective Assessments on Improvement in Gait Function after Carotid Endarterectomy. Sensors 2020;20(22):6590 View
- Su D, Liu Z, Jiang X, Zhang F, Yu W, Ma H, Wang C, Wang Z, Wang X, Hu W, Manor B, Feng T, Zhou J. Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study. JMIR mHealth and uHealth 2021;9(2):e25451 View
- Krichen M. Anomalies Detection Through Smartphone Sensors: A Review. IEEE Sensors Journal 2021;21(6):7207 View
- Pfau T, Reilly P. How low can we go? Influence of sample rate on equine pelvic displacement calculated from inertial sensor data. Equine Veterinary Journal 2021;53(5):1075 View
- Bahl N, Magnavita E, Hshieh T, Testa M, Kim D, Manor B, Driver J, Abel G, DuMontier C. Objective performance tests of cognition and physical function as part of a virtual geriatric assessment. Journal of Geriatric Oncology 2021;12(8):1256 View
- Bouça-Machado R, Pona-Ferreira F, Leitão M, Clemente A, Vila-Viçosa D, Kauppila L, Costa R, Matias R, Ferreira J. Feasibility of a Mobile-Based System for Unsupervised Monitoring in Parkinson’s Disease. Sensors 2021;21(15):4972 View
- Juneau P, Baddour N, Burger H, Bavec A, Lemaire E. Comparison of Decision Tree and Long Short-Term Memory Approaches for Automated Foot Strike Detection in Lower Extremity Amputee Populations. Sensors 2021;21(21):6974 View
- Zhong R, Gao T. Impact of walking states, self-reported daily walking amount and age on the gait of older adults measured with a smart-phone app: a pilot study. BMC Geriatrics 2022;22(1) View
- Meigal A, Gerasimova-Meigal L, Reginya S, Soloviev A, Moschevikin A. Gait Characteristics Analyzed with Smartphone IMU Sensors in Subjects with Parkinsonism under the Conditions of “Dry” Immersion. Sensors 2022;22(20):7915 View
- PARATI M, AMBROSINI E, DE MARIA B, GALLOTTA M, DALLA VECCHIA L, FERRIERO G, FERRANTE S. The reliability of gait parameters captured via instrumented walkways: a systematic review and meta-analysis. European Journal of Physical and Rehabilitation Medicine 2022;58(3) View
- Kahlon A, Sansare A, Behboodi A. Remote Gait Analysis as a Proxy for Traditional Gait Laboratories: Utilizing Smartphones for Subject-Driven Gait Assessment across Differing Terrains. Biomechanics 2022;2(2):235 View
- Zhou J, Jiang X, Yu W, Zhu H, Lo O, Gouskova N, Travison T, Lipsitz L, Pascual-Leone A, Manor B. A Smartphone App-Based Application Enabling Remote Assessments of Standing Balance During the COVID-19 Pandemic and Beyond. IEEE Internet of Things Journal 2021;8(21):15818 View
- Telfeian A. Editorial. Neurosurgical healthcare delivery quality and “where we go from here” after the pandemic. Neurosurgical Focus 2021;51(5):E3 View
- Hamilton R, Williams J, Holt C. Biomechanics beyond the lab: Remote technology for osteoarthritis patient data—A scoping review. Frontiers in Rehabilitation Sciences 2022;3 View
- Shema-Shiratzky S, Beer Y, Mor A, Elbaz A. Smartphone-based inertial sensors technology – Validation of a new application to measure spatiotemporal gait metrics. Gait & Posture 2022;93:102 View
- Homan K, Yamamoto K, Kadoya K, Ishida N, Iwasaki N. Comprehensive validation of a wearable foot sensor system for estimating spatiotemporal gait parameters by simultaneous three-dimensional optical motion analysis. BMC Sports Science, Medicine and Rehabilitation 2022;14(1) View
- Salchow-Hömmen C, Skrobot M, Jochner M, Schauer T, Kühn A, Wenger N. Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders. Frontiers in Human Neuroscience 2022;16 View
- Rentz C, Far M, Boltes M, Schnitzler A, Amunts K, Dukart J, Minnerop M. System Comparison for Gait and Balance Monitoring Used for the Evaluation of a Home-Based Training. Sensors 2022;22(13):4975 View
- Alberto S, Cabral S, Proença J, Pona-Ferreira F, Leitão M, Bouça-Machado R, Kauppila L, Veloso A, Costa R, Ferreira J, Matias R. Validation of quantitative gait analysis systems for Parkinson’s disease for use in supervised and unsupervised environments. BMC Neurology 2021;21(1) View
- Arpan I, Shah V, McNames J, Harker G, Carlson-Kuhta P, Spain R, El-Gohary M, Mancini M, Horak F. Fall Prediction Based on Instrumented Measures of Gait and Turning in Daily Life in People with Multiple Sclerosis. Sensors 2022;22(16):5940 View
- Christensen J, Stanley E, Oro E, Carlson H, Naveh Y, Shalita R, Teitz L. The validity and reliability of the OneStep smartphone application under various gait conditions in healthy adults with feasibility in clinical practice. Journal of Orthopaedic Surgery and Research 2022;17(1) View
- Zhou J, Cattaneo G, Yu W, Lo O, Gouskova N, Delgado-Gallén S, Redondo-Camós M, España-Irla G, Solana-Sánchez J, Tormos J, Lipsitz L, Bartrés-Faz D, Pascual-Leone A, Manor B. The age-related contribution of cognitive function to dual-task gait in middle-aged adults in Spain: observations from a population-based study. The Lancet Healthy Longevity 2023;4(3):e98 View
- Sher A, Bunker M, Akanyeti O. Towards personalized environment‐aware outdoor gait analysis using a smartphone. Expert Systems 2023;40(5) View
- Kim M, Hall C. Application of EMGB to Study Impacts of Public Green Space on Active Transport Behavior: Evidence from South Korea. International Journal of Environmental Research and Public Health 2022;19(12):7459 View
- Shahar R, Agmon M. Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System. Sensors 2021;21(22):7497 View
- Rashid U, Barbado D, Olsen S, Alder G, Elvira J, Lord S, Niazi I, Taylor D. Validity and Reliability of a Smartphone App for Gait and Balance Assessment. Sensors 2021;22(1):124 View
- Zeinab M A, Nahed A S, Hossam M E, Mahmoud Y E. Comparison between the efficacy of underwater treadmill and over-ground treadmill training program on knee joint during gait cycle of stroke patients. Annals of Musculoskeletal Medicine 2021:005 View
- DuMontier C, Jaung T, Bahl N, Manor B, Testa M, Dieli-Conwright C, Kim D, Hshieh T, Driver J, Abel G. Virtual frailty assessment for older adults with hematologic malignancies. Blood Advances 2022;6(18):5360 View
- Di Bacco V, Gage W. Evaluation of a smartphone accelerometer system for measuring nonlinear dynamics during treadmill walking: Concurrent validity and test-retest reliability. Journal of Biomechanics 2023;151:111527 View
- Werner C, Hezel N, Dongus F, Spielmann J, Mayer J, Becker C, Bauer J. Validity and reliability of the Apple Health app on iPhone for measuring gait parameters in children, adults, and seniors. Scientific Reports 2023;13(1) View
- Clancy D, Revette A, Bahl N, Ho K, Manor B, Testa M, Dieli-Conwright C, Hshieh T, Driver J, Abel G, DuMontier C. Benefits and Barriers of Technology for Home Function and Mobility Assessment: Perspectives of Older Patients With Blood Cancers, Caregivers, and Clinicians. JCO Clinical Cancer Informatics 2023;(7) View
- Rozanski G, Delgado A, Putrino D. Spatiotemporal parameters from remote smartphone-based gait analysis are associated with lower extremity functional scale categories. Frontiers in Rehabilitation Sciences 2023;4 View
- Pooranawatthanakul K, Siriphorn A. Testing the validity and reliability of a new android application-based accelerometer balance assessment tool for community-dwelling older adults. Gait & Posture 2023;104:103 View
- Lai X, Lee Y, Hong X, Rau P. Watch your step: A pilot study of smartphone use effect on young females’ gait performance while walking up and down stairs and escalators. Applied Ergonomics 2024;114:104130 View
- Al Abiad N, van Schooten K, Renaudin V, Delbaere K, Robert T. Association of Prospective Falls in Older People With Ubiquitous Step-Based Fall Risk Parameters Calculated From Ambulatory Inertial Signals: Secondary Data Analysis. JMIR Aging 2023;6:e49587 View
- Strongman C, Cavallerio F, Timmis M, Morrison A. A Scoping Review of the Validity and Reliability of Smartphone Accelerometers When Collecting Kinematic Gait Data. Sensors 2023;23(20):8615 View
- WAGEMANS J, DECORTE K, HEYLEN H, TOBIAS M, TAEYMANS J, KUPPENS K, BAUR H, VISSERS D, BLEAKLEY C. Which motor-behavioral impairments are assessed in prospective studies including patients with an acute ankle sprain. Gazzetta Medica Italiana Archivio per le Scienze Mediche 2023;182(10) View
- Olsen S, Rashid U, Barbado D, Suresh P, Alder G, Khan Niazi I, Taylor D. The validity of smartphone-based spatiotemporal gait measurements during walking with and without head turns: Comparison with the GAITRite® system. Journal of Biomechanics 2024;162:111899 View
- Popp Z, Low S, Igwe A, Rahman M, Kim M, Khan R, Oh E, Kumar A, De Anda‐Duran I, Ding H, Hwang P, Sunderaraman P, Shih L, Lin H, Kolachalama V, Au R. Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research. Journal of the American Heart Association 2024;13(2) View
- Lee P, DuMontier C, Yu W, Ask L, Zhou J, Testa M, Kim D, Abel G, Travison T, Manor B, Lo O. Validity and Reliability of a Smartphone Application for Home Measurement of Four-Meter Gait Speed in Older Adults. Bioengineering 2024;11(3):257 View
- Di Bacco V, Gage W. Gait variability, fractal dynamics, and statistical regularity of treadmill and overground walking recorded with a smartphone. Gait & Posture 2024;111:53 View
- Chettri L, Rai R. A Perspective Review: State-of-the-Art on m-Health Services. SN Computer Science 2024;5(5) View
- Tao S, Zhang H, Kong L, Sun Y, Zhao J. Validation of gait analysis using smartphones: Reliability and validity. DIGITAL HEALTH 2024;10 View
- Marom P, Brik M, Agay N, Dankner R, Katzir Z, Keshet N, Doron D. The Reliability and Validity of the OneStep Smartphone Application for Gait Analysis among Patients Undergoing Rehabilitation for Unilateral Lower Limb Disability. Sensors 2024;24(11):3594 View
- Lee P, Yu W, Zhou J, Tsai T, Manor B, Lo O. A Novel Approach for Improving Gait Speed Estimation Using a Single Inertial Measurement Unit Embedded in a Smartphone: Validity and Reliability Study. JMIR mHealth and uHealth 2024;12:e52166 View
- Onder H, Bizpinar O. Investigation of the utility of smartphone-based gait analyses in discrimination between patients with Alzheimer’s disease and Parkinson’s disease. Applied Neuropsychology: Adult 2024:1 View
- Rentz C, Kaiser V, Jung N, Turlach B, Sahandi Far M, Peterburs J, Boltes M, Schnitzler A, Amunts K, Dukart J, Minnerop M. Sensor-Based Gait and Balance Assessment in Healthy Adults: Analysis of Short-Term Training and Sensor Placement Effects. Sensors 2024;24(17):5598 View
- Di Bacco V, Gage W. Validation of Linear and Nonlinear Gait Variability Measures Derived From a Smartphone System Compared to a Gold-Standard Footswitch System During Overground Walking. Journal of Applied Biomechanics 2024;40(5):437 View
- Suffoletto B, Kim D, Toth C, Mayer W, Glaister S, Cinkowski C, Ashenburg N, Lin M, Losak M. Feasibility of Measuring Smartphone Accelerometry Data During a Weekly Instrumented Timed Up-and-Go Test After Emergency Department Discharge: Prospective Observational Cohort Study. JMIR Aging 2024;7:e57601 View
- Contreras C, Stanley E, Deschamps-Prescott C, Burnap S, Hopkins M, Browning B, Christensen J. Evaluation of Smartphone Technology on Spatiotemporal Gait in Older and Diseased Adult Populations. Sensors 2024;24(17):5839 View
- Sher A, Akanyeti O. Minimum data sampling requirements for accurate detection of terrain-induced gait alterations change with mobile sensor position. Pervasive and Mobile Computing 2024;105:101994 View
- Lee P, DuMontier C, Groblewski N, Yu W, Zhou J, Hshieh T, Kim D, Travison T, Driver J, Lo O, Manor B, Abel G. Smartphone application for longitudinal home gait speed measurement in older adults with blood cancers: A feasibility and acceptability study. Journal of Geriatric Oncology 2024:102132 View
- Di Bacco V, Gage W. Monitoring Age-Related Changes in Gait Complexity in the Wild with a Smartphone Accelerometer System. Sensors 2024;24(22):7175 View
- Jin K, Kosa P, Bielekova B. Smartphone tests quantify lower extremities dysfunction in multiple sclerosis. Frontiers in Neurology 2024;15 View