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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
162 related items for PubMed ID: 26210419
41. Human Physical Activity Recognition Using Smartphone Sensors. Voicu RA, Dobre C, Bajenaru L, Ciobanu RI. Sensors (Basel); 2019 Jan 23; 19(3):. PubMed ID: 30678039 [Abstract] [Full Text] [Related]
42. A Digital Ecosystem of Diabetes Data and Technology: Services, Systems, and Tools Enabled by Wearables, Sensors, and Apps. Heintzman ND. J Diabetes Sci Technol; 2015 Dec 20; 10(1):35-41. PubMed ID: 26685994 [Abstract] [Full Text] [Related]
43. Effect of telmisartan and amlodipine on home blood pressure by monitoring newly developed telemedicine system: monitoring test by using telemedicine. Telmisartan's effect on home blood pressure (TelTelbosu). Nakamoto H, Nishida E, Ryuzaki M, Sone M, Suzuki H, Yoshimoto M, Itagaki K. Clin Exp Hypertens; 2008 Jan 20; 30(1):57-67. PubMed ID: 18214734 [Abstract] [Full Text] [Related]
44. Personalized USB Biosensor Module for Effective ECG Monitoring. Sladojević S, Arsenović M, Lončar-Turukalo T, Sladojević M, Ćulibrk D. Stud Health Technol Inform; 2016 Jan 20; 224():201-6. PubMed ID: 27225580 [Abstract] [Full Text] [Related]
45. Statistical Classification of Dyscalculia Symptoms using Smartphones and Behaviour of Magnocellular Cells. Siem Knudsen G. Stud Health Technol Inform; 2016 Jan 20; 221():128. PubMed ID: 27071902 [No Abstract] [Full Text] [Related]
46. A smart phone-based pocket fall accident detection, positioning, and rescue system. Kau LJ, Chen CS. IEEE J Biomed Health Inform; 2015 Jan 20; 19(1):44-56. PubMed ID: 25486656 [Abstract] [Full Text] [Related]
48. Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living. Rahman S, Irfan M, Raza M, Moyeezullah Ghori K, Yaqoob S, Awais M. Int J Environ Res Public Health; 2020 Feb 08; 17(3):. PubMed ID: 32046302 [Abstract] [Full Text] [Related]
49. Feasibility of interactive biking exercise system for telemanagement in elderly. Finkelstein J, Jeong IC. Stud Health Technol Inform; 2013 Feb 08; 192():642-6. PubMed ID: 23920635 [Abstract] [Full Text] [Related]
50. Fall detection in homes of older adults using the Microsoft Kinect. Stone EE, Skubic M. IEEE J Biomed Health Inform; 2015 Jan 08; 19(1):290-301. PubMed ID: 24733032 [Abstract] [Full Text] [Related]
51. Mobile healthcare applications: system design review, critical issues and challenges. Baig MM, GholamHosseini H, Connolly MJ. Australas Phys Eng Sci Med; 2015 Mar 08; 38(1):23-38. PubMed ID: 25476753 [Abstract] [Full Text] [Related]
52. Making an APPropriate Care Program for Indigenous Cardiac Disease: Customization of an Existing Cardiac Rehabilitation Program. Bradford D, Hansen D, Karunanithi M. Stud Health Technol Inform; 2015 Mar 08; 216():343-7. PubMed ID: 26262068 [Abstract] [Full Text] [Related]
53. A usability study of a mobile monitoring system for congestive heart failure patients. Svagård I, Austad HO, Seeberg T, Vedum J, Liverud A, Mathiesen BM, Keller B, Bendixen OC, Osborne P, Strisland F. Stud Health Technol Inform; 2014 Mar 08; 205():528-32. PubMed ID: 25160241 [Abstract] [Full Text] [Related]
55. A Human Activity Recognition System Using Skeleton Data from RGBD Sensors. Cippitelli E, Gasparrini S, Gambi E, Spinsante S. Comput Intell Neurosci; 2016 Mar 08; 2016():4351435. PubMed ID: 27069469 [Abstract] [Full Text] [Related]
58. Automatic multi-modal intelligent seizure acquisition (MISA) system for detection of motor seizures from electromyographic data and motion data. Conradsen I, Beniczky S, Wolf P, Kjaer TW, Sams T, Sorensen HB. Comput Methods Programs Biomed; 2012 Aug 08; 107(2):97-110. PubMed ID: 21724291 [Abstract] [Full Text] [Related]