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

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

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

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

Journals

  1. Galán-Mercant A, Barón-López F, Labajos-Manzanares M, Cuesta-Vargas A. Reliability and criterion-related validity with a smartphone used in timed-up-and-go test. BioMedical Engineering OnLine 2014;13(1):156 View
  2. 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 View
  3. 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 View
  4. 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 View
  5. 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 View
  6. Shah N, Aleong R, So I. Novel Use of a Smartphone to Measure Standing Balance. JMIR Rehabilitation and Assistive Technologies 2016;3(1):e4 View
  7. Galán-Mercant A, Cuesta-Vargas A. Clinical frailty syndrome assessment using inertial sensors embedded in smartphones. Physiological Measurement 2015;36(9):1929 View
  8. 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 View
  9. González-Sánchez M, Cuesta-Vargas A, del Mar Rodríguez González M, Caro E, Núñez G, Galán-Mercant A, Belmonte J. Effectiveness of a muticomponent workout program integrated in an evidence based multimodal program in hyperfrail elderly patients: POWERAGING randomized clinical trial protocol. BMC Geriatrics 2019;19(1) View
  10. Galán-Mercant A, Cuesta-Vargas A. Mobile Romberg test assessment (mRomberg). BMC Research Notes 2014;7(1) View
  11. Dasenbrock L, Heinks A, Schwenk M, Bauer J. Technology-based measurements for screening, monitoring and preventing frailty. Zeitschrift für Gerontologie und Geriatrie 2016;49(7):581 View
  12. Mateos-Angulo A, Galán-Mercant A, Cuesta-Vargas A. Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor. Journal of Human Kinetics 2020;73(1):57 View
  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 View
  14. Tedesco S, Barton J, O’Flynn B. A Review of Activity Trackers for Senior Citizens: Research Perspectives, Commercial Landscape and the Role of the Insurance Industry. Sensors 2017;17(6):1277 View
  15. Almogren A. An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology. Cluster Computing 2019;22(S1):2309 View
  16. Cuesta-Vargas A, Pajares B, Trinidad-Fernandez M, Alba E, Roldan-Jiménez C. Inertial Sensors Embedded in Smartphones as a Tool for Fatigue Assessment Based on Acceleration in Survivors of Breast Cancer. Physical Therapy 2020;100(3):447 View
  17. Pan D, Dhall R, Lieberman A, Petitti D. A Mobile Cloud-Based Parkinson’s Disease Assessment System for Home-Based Monitoring. JMIR mHealth and uHealth 2015;3(1):e29 View
  18. Hellec J, Chorin F, Castagnetti A, Colson S. Sit-To-Stand Movement Evaluated Using an Inertial Measurement Unit Embedded in Smart Glasses—A Validation Study. Sensors 2020;20(18):5019 View
  19. 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 View
  20. Alvaro M, Alejandro G, Ignacio C. KINEMATIC ANALYSIS BY GENDER IN DIFFERENT JUMP TESTS BASED ON A SMARTPHONE INERTIAL SENSOR. Revista Brasileira de Medicina do Esporte 2018;24(4):263 View
  21. Cobo A, Villalba-Mora E, Hayn D, Ferre X, Pérez-Rodríguez R, Sánchez-Sánchez A, Bernabé-Espiga R, Sánchez-Sánchez J, López-Diez-Picazo A, Moral C, Rodriguez-Mañas L. Portable Ultrasound-Based Device for Detecting Older Adults’ Sit-to-Stand Transitions in Unsupervised 30-Second Chair–Stand Tests. Sensors 2020;20(7):1975 View
  22. Cobo A, Villalba-Mora E, Pérez-Rodríguez R, Ferre X, Rodríguez-Mañas L. Unobtrusive Sensors for the Assessment of Older Adult’s Frailty: A Scoping Review. Sensors 2021;21(9):2983 View
  23. Vavasour G, Giggins O, Doyle J, Kelly D. How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View

Books/Policy Documents

  1. LeMoyne R, Mastroianni T. Wireless MEMS Networks and Applications. View
  2. LeMoyne R, Mastroianni T. Wearable and Wireless Systems for Healthcare I. View