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Citing this Article

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Published on 16.08.13 in Vol 1, No 2 (2013): Jul-Dec

This paper is in the following e-collection/theme issue:

Works citing "Differences in Trunk Accelerometry Between Frail and Nonfrail Elderly Persons in Sit-to-Stand and Stand-to-Sit Transitions Based on a Mobile Inertial Sensor"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2710):

(note that this is only a small subset of citations)

  1. LEMOYNE R, MASTROIANNI T. IMPLEMENTATION OF A SMARTPHONE AS A WIRELESS ACCELEROMETER PLATFORM FOR QUANTIFYING HEMIPLEGIC GAIT DISPARITY IN A FUNCTIONALLY AUTONOMOUS CONTEXT. Journal of Mechanics in Medicine and Biology 2018;18(02):1850005
    CrossRef
  2. Rahemi H, Nguyen H, Lee H, Najafi B. Toward Smart Footwear to Track Frailty Phenotypes—Using Propulsion Performance to Determine Frailty. Sensors 2018;18(6):1763
    CrossRef
  3. Almogren A. An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology. Cluster Computing 2018;
    CrossRef
  4. Alvaro M, Alejandro G, Ignacio CA. KINEMATIC ANALYSIS BY GENDER IN DIFFERENT JUMP TESTS BASED ON A SMARTPHONE INERTIAL SENSOR. Revista Brasileira de Medicina do Esporte 2018;24(4):263
    CrossRef
  5. Galán-Mercant A, Cuesta-Vargas A. Detección precoz de la fragilidad, tecnología aplicada al movimiento humano para la prevención de la discapacidad. Fisioterapia 2017;39(3):135
    CrossRef
  6. Mugueta-Aguinaga I, Garcia-Zapirain B. Is Technology Present in Frailty? Technology a Back-up Tool for Dealing with Frailty in the Elderly: A Systematic Review. Aging and Disease 2017;8(2):2005
    CrossRef
  7. . A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. Sensors 2017;17(6):1277
    CrossRef
  8. Campillay Guzmán J, Guzmán Silva R, Guzmán-Venegas R. Reproducibilidad de los tiempos de ejecución de la prueba de Timed Up and Go , medidos con acelerómetros de smartphones en personas mayores residentes en la comunidad. Revista Española de Geriatría y Gerontología 2017;52(5):249
    CrossRef
  9. Shah N, Aleong R, So I. Novel Use of a Smartphone to Measure Standing Balance. JMIR Rehabilitation and Assistive Technologies 2016;3(1):e4
    CrossRef
  10. Dasenbrock L, Heinks A, Schwenk M, Bauer JM. Technology-based measurements for screening, monitoring and preventing frailty. Zeitschrift für Gerontologie und Geriatrie 2016;49(7):581
    CrossRef
  11. Mateos-Angulo A, Galán-Mercant A, Cuesta-Vargas A. Mobile Jump Assessment (mJump): A Descriptive and Inferential Study. JMIR Rehabilitation and Assistive Technologies 2015;2(2):e7
    CrossRef
  12. Galán-Mercant A, Cuesta-Vargas AI. Clinical frailty syndrome assessment using inertial sensors embedded in smartphones. Physiological Measurement 2015;36(9):1929
    CrossRef
  13. Cattelani L, Palumbo P, Palmerini L, Bandinelli S, Becker C, Chesani F, Chiari L. FRAT-up, a Fall-Risk Assessment Tool for Elderly People Living in the Community. Journal of Medical Internet Research 2015;17(2):e41
    CrossRef
  14. Pan D, Dhall R, Lieberman A, Petitti DB. A Mobile Cloud-Based Parkinson’s Disease Assessment System for Home-Based Monitoring. JMIR mHealth and uHealth 2015;3(1):e29
    CrossRef
  15. Galán-Mercant A, Barón-López F, Labajos-Manzanares MT, Cuesta-Vargas AI. Reliability and criterion-related validity with a smartphone used in timed-up-and-go test. BioMedical Engineering OnLine 2014;13(1):156
    CrossRef
  16. Galán-Mercant A, Cuesta-Vargas AI. Mobile Romberg test assessment (mRomberg). BMC Research Notes 2014;7(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.2710)

:
  1. LeMoyne R, Mastroianni T. Wearable and Wireless Systems for Healthcare I. 2018. Chapter 6:73
    CrossRef
  2. LeMoyne R, Mastroianni T. Wireless MEMS Networks and Applications. 2017. :129
    CrossRef