Published on in Vol 7, No 11 (2019): November

Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial

Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial

Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial

Journals

  1. Keppler A, Holzschuh J, Pfeufer D, Neuerburg C, Kammerlander C, Böcker W, Fürmetz J. Postoperative physical activity in orthogeriatric patients – new insights with continuous monitoring. Injury 2020;51(3):628 View
  2. Gleich J, Pfeufer D, Keppler A, Mehaffey S, Fürmetz J, Böcker W, Kammerlander C, Neuerburg C. Identification of hip fracture patients at risk for postoperative mobilisation complications via handgrip strength assessment. Archives of Orthopaedic and Trauma Surgery 2022;142(6):997 View
  3. Czech M, Psaltos D, Zhang H, Adamusiak T, Calicchio M, Kelekar A, Messere A, Van Dijk K, Ramos V, Demanuele C, Cai X, Santamaria M, Patel S, Karahanoglu F. Age and environment-related differences in gait in healthy adults using wearables. npj Digital Medicine 2020;3(1) View
  4. Shah V, McNames J, Harker G, Mancini M, Carlson-Kuhta P, Nutt J, El-Gohary M, Curtze C, Horak F. Effect of Bout Length on Gait Measures in People with and without Parkinson’s Disease during Daily Life. Sensors 2020;20(20):5769 View
  5. Shah V, McNames J, Harker G, Curtze C, Carlson-Kuhta P, Spain R, El-Gohary M, Mancini M, Horak F. Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?. Gait & Posture 2021;84:108 View
  6. Czech M, Demanuele C, Erb M, Ramos V, Zhang H, Ho B, Patel S. The Impact of Reducing the Number of Wearable Devices on Measuring Gait in Parkinson Disease: Noninterventional Exploratory Study. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e17986 View
  7. Keppler A, Pfeufer D, Kau F, Linhart C, Zeckey C, Neuerburg C, Böcker W, Kammerlander C. Cement augmentation of the Proximal Femur Nail Antirotation (PFNA) is associated with enhanced weight-bearing in older adults. Injury 2021;52(10):3042 View
  8. 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
  9. Karas M, Urbanek J, Illiano V, Bogaarts G, Crainiceanu C, Dorn J. Estimation of free-living walking cadence from wrist-worn sensor accelerometry data and its association with SF-36 quality of life scores. Physiological Measurement 2021;42(6):065006 View
  10. 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
  11. Kang M, Kang S, Roh H, Jung H, Kim S, Choi J, Kim K. Accuracy and Diversity of Wearable Device–Based Gait Speed Measurement Among Older Men: Observational Study. Journal of Medical Internet Research 2021;23(10):e29884 View
  12. Rojer A, Coni A, Mellone S, Van Ancum J, Vereijken B, Helbostad J, Taraldsen K, Mikolaizak S, Becker C, Aminian K, Trappenburg M, Meskers C, Maier A, Pijnappels M. Robustness of In-Laboratory and Daily-Life Gait Speed Measures over One Year in High Functioning 61- to 70-Year-Old Adults. Gerontology 2021;67(6):650 View
  13. Keppler A, Holzschuh J, Pfeufer D, Gleich J, Neuerburg C, Kammerlander C, Böcker W, Fürmetz J. Mobility improvement in the first 6 postoperative weeks in orthogeriatric fracture patients. European Journal of Trauma and Emergency Surgery 2022;48(4):2867 View
  14. Meyer B, Depetrillo P, Franco J, Donahue N, Fox S, O’Leary A, Loftness B, Gurchiek R, Buckley M, Solomon A, Ng S, Cheney N, Ceruolo M, McGinnis R. How Much Data Is Enough? A Reliable Methodology to Examine Long-Term Wearable Data Acquisition in Gait and Postural Sway. Sensors 2022;22(18):6982 View
  15. Guasti L, Dilaveris P, Mamas M, Richter D, Christodorescu R, Lumens J, Schuuring M, Carugo S, Afilalo J, Ferrini M, Asteggiano R, Cowie M. Digital health in older adults for the prevention and management of cardiovascular diseases and frailty. A clinical consensus statement from the ESC Council for Cardiology Practice/Taskforce on Geriatric Cardiology, the ESC Digital Health Committee and the ESC Working Group on e‐Cardiology. ESC Heart Failure 2022;9(5):2808 View
  16. Manta C, Mahadevan N, Bakker J, Ozen Irmak S, Izmailova E, Park S, Poon J, Shevade S, Valentine S, Vandendriessche B, Webster C, Goldsack J. EVIDENCE Publication Checklist for Studies Evaluating Connected Sensor Technologies: Explanation and Elaboration. Digital Biomarkers 2021;5(2):127 View
  17. Kraus M, Saller M, Baumbach S, Neuerburg C, Stumpf U, Böcker W, Keppler A. Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole–Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study. JMIR Medical Informatics 2022;10(1):e32724 View
  18. Tietsch M, Muaremi A, Clay I, Kluge F, Hoefling H, Ullrich M, Küderle A, Eskofier B, Müller A. Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies. Digital Biomarkers 2020;4(Suppl. 1):50 View
  19. Martin P, Keppler A, Alberton P, Neuerburg C, Drey M, Böcker W, Kammerlander C, Saller M. Self-Assessment of Mobility of People over 65 Years of Age. Medicina 2021;57(9):980 View
  20. Clay I, Angelopoulos C, Bailey A, Blocker A, Carini S, Carvajal R, Drummond D, McManus K, Oakley-Girvan I, Patel K, Szepietowski P, Goldsack J. Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices. Journal of Medical Internet Research 2021;23(11):e34493 View
  21. Clay I, Cormack F, Fedor S, Foschini L, Gentile G, van Hoof C, Kumar P, Lipsmeier F, Sano A, Smarr B, Vandendriessche B, De Luca V. Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint. Journal of Medical Internet Research 2022;24(5):e35951 View
  22. Houts C, Patrick-Lake B, Clay I, Wirth R. The Path Forward for Digital Measures: Suppressing the Desire to Compare Apples and Pineapples. Digital Biomarkers 2020;4(Suppl. 1):3 View
  23. Goldsack J, Dowling A, Samuelson D, Patrick-Lake B, Clay I. Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint. Digital Biomarkers 2021;5(1):53 View
  24. Cintas P, Bouhour F, Cauquil C, Masingue M, Tard C, Sacconi S, Delmont E, Choumert A, Chanson J, Michaud M, Solé G, Cassereau J, Noury J, Nicolas G, Bellance R, Péréon Y, Camdessanché J, Magy L, Attarian S. Current clinical management of CIDP with immunoglobulins in France: An expert opinion. Revue Neurologique 2023;179(8):914 View
  25. 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
  26. Bachman S, Blankenship J, Busa M, Serviente C, Lyden K, Clay I. Capturing Measures That Matter: The Potential Value of Digital Measures of Physical Behavior for Alzheimer’s Disease Drug Development. Journal of Alzheimer's Disease 2023;95(2):379 View
  27. Hainline G, Hainline R, Handlery R, Fritz S. A Scoping Review of the Predictive Qualities of Walking Speed in Older Adults. Journal of Geriatric Physical Therapy 2023 View
  28. Fan S, Ye J, Xu Q, Peng R, Hu B, Pei Z, Yang Z, Xu F. Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty. Frontiers in Public Health 2023;11 View
  29. Clay I, De Luca V, Sano A. Editorial: Multimodal digital approaches to personalized medicine. Frontiers in Big Data 2023;6 View
  30. Clay I, Peerenboom N, Connors D, Bourke S, Keogh A, Wac K, Gur-Arie T, Baker J, Bull C, Cereatti A, Cormack F, Eggenspieler D, Foschini L, Ganea R, Groenen P, Gusset N, Izmailova E, Kanzler C, Leyens L, Lyden K, Mueller A, Nam J, Ng W, Nobbs D, Orfaniotou F, Perumal T, Piwko W, Ries A, Scotland A, Taptiklis N, Torous J, Vereijken B, Xu S, Baltzer L, Vetter T, Goldhahn J, Hoffmann S. Reverse Engineering of Digital Measures: Inviting Patients to the Conversation. Digital Biomarkers 2023:28 View
  31. Camerlingo N, Shaafi Kabiri N, Psaltos D, Kelly M, Wicker M, Messina I, Auerbach S, Zhang H, Messere A, Isik Karahanoglu F, Santamaria M, Demanuele C, Caouette D, Thomas K. Monitoring Gait and Physical Activity of Elderly Frail Individuals in Free-Living Environment: A Feasibility Study. Gerontology 2024;70(4):439 View
  32. Hu L, Chen Y, Cao E, Hu W. User Experience & Usability of Wearable Health Device: A Bibliometric Analysis of 2014–2023. International Journal of Human–Computer Interaction 2024:1 View
  33. Boronat P, Pérez-Francisco M, Gascó-Compte A, Pardo-Navarro M, Belmonte-Fernández O. GPS Suitability for Physical Frailty Assessment. Sensors 2024;24(14):4588 View

Books/Policy Documents

  1. Au R, Lin H, Kolachalama V. Alzheimer's Disease Drug Development. View
  2. Cobo A, Villalba-Mora E, Pérez-Rodríguez R, Medina J, Robles-Mateos P, Rodríguez-Laso Á, Rodríguez-Mañas L. Pervasive Computing Technologies for Healthcare. View
  3. Giggins O, Vavasour G, Doyle J. Pervasive Computing Technologies for Healthcare. View