BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

172 related articles for article (PubMed ID: 36812538)

  • 21. Toward a Remote Assessment of Walking Bout and Speed: Application in Patients With Multiple Sclerosis.
    Atrsaei A; Dadashi F; Mariani B; Gonzenbach R; Aminian K
    IEEE J Biomed Health Inform; 2021 Nov; 25(11):4217-4228. PubMed ID: 33914688
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Egocentric vision-based detection of surfaces: towards context-aware free-living digital biomarkers for gait and fall risk assessment.
    Nouredanesh M; Godfrey A; Powell D; Tung J
    J Neuroeng Rehabil; 2022 Jul; 19(1):79. PubMed ID: 35869527
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson's disease patients.
    Roth N; Küderle A; Ullrich M; Gladow T; Marxreiter F; Klucken J; Eskofier BM; Kluge F
    J Neuroeng Rehabil; 2021 Jun; 18(1):93. PubMed ID: 34082762
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Distinguishing among multiple sclerosis fallers, near-fallers and non-fallers.
    Fritz NE; Eloyan A; Baynes M; Newsome SD; Calabresi PA; Zackowski KM
    Mult Scler Relat Disord; 2018 Jan; 19():99-104. PubMed ID: 29182996
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Gait and turning characteristics from daily life increase ability to predict future falls in people with Parkinson's disease.
    Shah VV; Jagodinsky A; McNames J; Carlson-Kuhta P; Nutt JG; El-Gohary M; Sowalsky K; Harker G; Mancini M; Horak FB
    Front Neurol; 2023; 14():1096401. PubMed ID: 36937534
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Wearable-Sensor-Based Classification Models of Faller Status in Older Adults.
    Howcroft J; Lemaire ED; Kofman J
    PLoS One; 2016; 11(4):e0153240. PubMed ID: 27054878
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Laboratory and free-living gait performance in adults with COPD and healthy controls.
    Buekers J; Megaritis D; Koch S; Alcock L; Ammour N; Becker C; Bertuletti S; Bonci T; Brown P; Buckley E; Buttery SC; Caulfied B; Cereatti A; Chynkiamis N; Demeyer H; Echevarria C; Frei A; Hansen C; Hausdorff JM; Hopkinson NS; Hume E; Kuederle A; Maetzler W; Mazzà C; Micó-Amigo EM; Mueller A; Palmerini L; Salis F; Scott K; Troosters T; Vereijken B; Watz H; Rochester L; Del Din S; Vogiatzis I; Garcia-Aymerich J
    ERJ Open Res; 2023 Sep; 9(5):. PubMed ID: 37753279
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Differences in walking-to-turning characteristics between older adult fallers and nonfallers: a prospective and observational study using wearable inertial sensors.
    Yeh TT; Liang PJ; Lee SC
    Int J Rehabil Res; 2022 Mar; 45(1):53-57. PubMed ID: 34860731
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Analysis of Free-Living Gait in Older Adults With and Without Parkinson's Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics.
    Del Din S; Galna B; Godfrey A; Bekkers EMJ; Pelosin E; Nieuwhof F; Mirelman A; Hausdorff JM; Rochester L
    J Gerontol A Biol Sci Med Sci; 2019 Mar; 74(4):500-506. PubMed ID: 29300849
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial.
    Mueller A; Hoefling HA; Muaremi A; Praestgaard J; Walsh LC; Bunte O; Huber RM; Fürmetz J; Keppler AM; Schieker M; Böcker W; Roubenoff R; Brachat S; Rooks DS; Clay I
    JMIR Mhealth Uhealth; 2019 Nov; 7(11):e15191. PubMed ID: 31774406
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Evaluation of unsupervised 30-second chair stand test performance assessed by wearable sensors to predict fall status in multiple sclerosis.
    Tulipani LJ; Meyer B; Allen D; Solomon AJ; McGinnis RS
    Gait Posture; 2022 May; 94():19-25. PubMed ID: 35220031
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Dual-tasking impacts gait, cognitive performance, and gaze behavior during walking in a real-world environment in older adult fallers and non-fallers.
    Zukowski LA; Tennant JE; Iyigun G; Giuliani CA; Plummer P
    Exp Gerontol; 2021 Jul; 150():111342. PubMed ID: 33838215
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Neural correlates of gait variability in people with multiple sclerosis with fall history.
    Kalron A; Allali G; Achiron A
    Eur J Neurol; 2018 Oct; 25(10):1243-1249. PubMed ID: 29806963
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days.
    Weiss A; Herman T; Giladi N; Hausdorff JM
    PLoS One; 2014; 9(5):e96675. PubMed ID: 24801889
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Preliminary race-ethnicity-based analyses of fall risk among people with multiple sclerosis.
    Buehler RA; Yang F
    Mult Scler Relat Disord; 2023 Sep; 77():104857. PubMed ID: 37390677
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Investigating the Impact of Environment and Data Aggregation by Walking Bout Duration on Parkinson's Disease Classification Using Machine Learning.
    Rehman RZU; Guan Y; Shi JQ; Alcock L; Yarnall AJ; Rochester L; Del Din S
    Front Aging Neurosci; 2022; 14():808518. PubMed ID: 35391750
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data.
    Ullrich M; Roth N; Kuderle A; Richer R; Gladow T; Gasner H; Marxreiter F; Klucken J; Eskofier BM; Kluge F
    IEEE J Biomed Health Inform; 2023 Jan; 27(1):319-328. PubMed ID: 36260566
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Next Steps in Wearable Technology and Community Ambulation in Multiple Sclerosis.
    Frechette ML; Meyer BM; Tulipani LJ; Gurchiek RD; McGinnis RS; Sosnoff JJ
    Curr Neurol Neurosci Rep; 2019 Sep; 19(10):80. PubMed ID: 31485896
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis.
    Meyer BM; Cohen JG; DePetrillo P; Ceruolo M; Jangraw D; Cheney N; Solomon AJ; McGinnis RS
    IEEE Trans Neural Syst Rehabil Eng; 2024; 32():967-973. PubMed ID: 38373134
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Prospective Fall-Risk Prediction Models for Older Adults Based on Wearable Sensors.
    Howcroft J; Kofman J; Lemaire ED
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1812-1820. PubMed ID: 28358689
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.