최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Collegian : journal of the Royal College of Nursing, Australia, v.25 no.5, 2018년, pp.549 - 560
Son, Heesook (Chung-Ang University, Red Cross College of Nursing, Seoul, South Korea) , Park, Won Seok (Chung-Ang University, Subject Information Service Team, Seoul, South Korea) , Kim, Hyerang (Chung-Ang University, Red Cross College of Nursing, Seoul, South Korea)
Conclusions: Experimental studies seeking to validate monitoring systems in unstructured real-life environments remain limited. However, the major findings of this study indicate that new technologies can be useful and supportive tools for Parkinson's disease related mobility monitoring. The use of ...
Movement Disorders Adkin 18 496 2003 10.1002/mds.10396 Fear of falling and postural control in Parkinson’s disease
Parkinsonism and Related Disorders Arora 21 650 2015 10.1016/j.parkreldis.2015.02.026 Detecting and monitoring the symptoms of Parkinson’s disease using smartphones: A pilot study
Movement Disorders Bloem 19 8 871 2004 10.1002/mds.20115 Falls and freezing of gait in Parkinson's disease: A review of two interconnected, episodic phenomena
Current Opinions in Neurology Boonstra 21 4 461 2008 10.1097/WCO.0b013e328305bdaf Gait disorders and balance disturbances in Parkinson’s disease: Clinical update and pathophysiology
Sensors Cancela 14 4618 2014 10.3390/s140304618 Feasibility study of a wearable system based on a wireless body area network for gait assessment in Parkinson’s disease patients
Journal of Neurology and Physical Therapy Cavanaugh 36 2 51 2012 10.1097/NPT.0b013e318254ba7a Capturing ambulatory activity decline in Parkinson disease
Physical Therapy Cavanaugh 95 8 1142 2015 10.2522/ptj.20140498 Toward understanding ambulatory activity decline in Parkinson disease
Journal of Neuroscience Methods Cerasa 266 161 2016 10.1016/j.jneumeth.2015.12.005 Machine learning on Parkinson’s disease?: Let’s translate into clinical practice
Movement Disorders Chastin 25 13 2114 2010 10.1002/mds.23146 The pattern of habitual behaviour is different in advanced Parkinson’s disease
European Neurological Review Chaudhuri 6 Suppl. 1 9 2011 Parkinson’s disease and quality of life- a clinician’s perspective
IEEE Transactions on Biomedical Engineering Chen 58 3 831 2011 10.1109/TBME.2010.2090044 A web-based system for home monitoring of patients with Parkinson’s disease using wearable sensors
IEEE Journal of Biomedical Health Informatics Cook 19 6 1882 2015 10.1109/JBHI.2015.2461659 Analyzing activity behavior and movement in a naturalistic environment using smart home techniques
Journal of NeuroEngineering and Rehabilitation Del Din 13 1 46 2016 10.1186/s12984-016-0154-5 Free-living gait characteristics in ageing and Parkinson's disease: Impact of environment and ambulatory bout length
IEEE Journal of Biomedical Health Informatics Del Din 20 3 838 2016 10.1109/JBHI.2015.2419317 Validation of an accelerometer to quantify a comprehensive battery of gait characteristics in healthy older adults and Parkinson’s disease: Toward clinical and at home use
Archives of Physical Medicine and Rehabilitation Dijkstra 91 8 1272 2010 10.1016/j.apmr.2010.05.004 Detection of gait and postures using a miniaturized triaxial accelerometer-based system: Accuracy in patients with mild to moderate Parkinson’s disease
Parkinsonism and Related Disorders Dontje 19 10 878 2013 10.1016/j.parkreldis.2013.05.014 Quantifying daily physical activity and determinants in sedentary patients with Parkinson's disease
Neurology Dorsey 68 5 384 2007 10.1212/01.wnl.0000247740.47667.03 Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030
Sensors El-Gohary 14 1 356 2014 10.3390/s140100356 Continuous monitoring of turning in patients with movement disability
Journal of Rehabilitation Research and Development Espay 47 6 573 2010 10.1682/JRRD.2009.10.0165 At-home training with closed-loop augmented-reality cueing device for improving gait in patients with Parkinson disease
BMC Neurology Ferreira 15 89 2015 10.1186/s12883-015-0343-z Quantitative home-based assessment of Parkinson's symptoms: The SENSE-PARK feasibility and usability study
Clinical Neurophysiology Galvan 119 7 1459 2008 10.1016/j.clinph.2008.03.017 Pathophysiology of parkinsonism
Telemedicine Journal E-Health Giansanti 14 5 467 2008 10.1089/tmj.2007.0078 An experience of health technology assessment in new models of care for subjects with Parkinson's disease by means of a new wearable device
Advances in Neurology Giladi 87 191 2001 Freezing of gait: Clinical overview
Parkinsonism and Related Disorders Ginis 22 28 2016 10.1016/j.parkreldis.2015.11.004 Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: A pilot randomized controlled trial
Journal of NeuroEngineering and Rehabilitation Godinho 13 24 2016 10.1186/s12984-016-0136-7 A systematic review of the characteristics and validity of monitoring technologies to assess Parkinson's disease
Movement Disorders Goetz 23 15 2129 2008 10.1002/mds.22340 Movement disorder society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results
Journal of Parkinson’s Disease Griffiths 2 1 47 2012 10.3233/JPD-2012-11071 Automated assessment of bradykinesia and dyskinesia in Parkinson's disease
Hammerla 2015 Paper presented at the 29th AAAI conference on artificial intelligence PD disease state assessment in naturalistic environments using deep learning
Movement Disorders Harris 30 S273 2015 Smartphone-PD: Preliminary results of an mHealth application to track and quantify characteristics of Parkinson's disease in real-time [Abstract]
Neurosurgery & Psychiatry Hely 67 300 2001 10.1136/jnnp.67.3.300 The Sydney multicenter study of Parkinson’s disease: Progression and mortality at 10 years. Journal of Neurology
Journal of Neurology Herman 261 12 2401 2014 10.1007/s00415-014-7513-6 Gait and balance in Parkinson's disease subtypes: Objective measures and classification considerations
Journal of Parkinson’s Disease Hiorth 6 1 175 2016 10.3233/JPD-150640 Impact of falls on physical activity in people with parkinson's disease
Movement Disorders Horak 28 11 1544 2013 10.1002/mds.25684 Objective biomarkers of balance and gait for Parkinson's disease using body-worn sensors
PUBLIC LIBRARY OF SCIENCE Horne 10 4 e0124522 2015 An objective fluctuation score for Parkinson’s disease
PUBLIC LIBRARY OF SCIENCE Hubble 10 4 e0123705 2015 Wearable sensor use for assessing standing balance and walking stability in people with Parkinson's disease: a systematic review
Age & Ageing Johnell 21 32 1992 10.1093/ageing/21.1.32 Fracture risk in patients with parkinsonism: A population-based study in Olmsted County, Minnesota
Gait & Posture Kaye 35 2 197 2012 10.1016/j.gaitpost.2011.09.006 One walk a year to 1000 within a year: Continuous in-home unobtrusive gait assessment of older adults
Movement Disorders Keijsers 18 1 70 2003 10.1002/mds.10310 Automatic assessment of levodopa-induced dyskinesias in daily life by neural networks
Neurology Kerr 75 116 2010 10.1212/WNL.0b013e3181e7b688 Predictors of future falls in Parkinson disease
Physical Therapy King 89 4 384 2009 10.2522/ptj.20080214 Delaying mobility disability in people with Parkinson disease using a sensorimotor agility exercise program
Journal of Neurology Lord 260 12 2964 2013 10.1007/s00415-013-7037-5 Ambulatory activity in incident Parkinson's: More than meets the eye?
Computational and Mathematical Methods in Medicine Ma 2014 985789 2014 10.1155/2014/985789 An efficient diagnosis system for Parkinson's disease using kernel-based extreme learning machine with subtractive clustering features weighting approach
Parkinsonism and Related Disorders Mactier 236 2015 10.1016/j.parkreldis.2014.12.014 The relationship between real world ambulatory activity and falls in incident Parkinson's disease: Influence of classification scheme
NeuroRehabilitation Mancini 37 1 3 2015 10.3233/NRE-151236 Continuous monitoring of turning in Parkinson's disease: Rehabilitation potential
Xrds Mazilu 21 2 48 2014 10.1145/2676578 Wearable technologies: One step closer to gait rehabilitation in Parkinsonos patients
Journal of NeuroEngineering and Rehabilitation Mirelman 8 35 2011 10.1186/1743-0003-8-35 Audio-biofeedback training for posture and balance in patients with Parkinson’s disease
Physical Therapy Morris 86 1426 2006 10.2522/ptj.20050277 Locomotor training in people with Parkinson’s disease
Journal of Neural Transmission Ossig 123 1 57 2016 10.1007/s00702-015-1439-8 Wearable sensor-based objective assessment of motor symptoms in Parkinson's disease
Artificial Intelligence in Medicine Perez-Lopez 67 47 2016 10.1016/j.artmed.2016.01.001 Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer
JMIR Mhealth Uhealth Pan 3 1 e29 2015 10.2196/mhealth.3956 A mobile cloud-based Parkinson's disease assessment system for home-based monitoring
Conference proceedings of the IEEE engineering in medicine and biology society, 2013 Pastorino 941 2013 Preliminary results of ON/OFF detection using an integrated system for Parkinson's disease monitoring
2010 annual international conference of the IEEE engineering in medicine and biology Patel 4411 2010 10.1109/IEMBS.2010.5627124 Home monitoring of patients with Parkinson’s disease via wearable technology and a web-based application
Journal of NeuroEngineering and Rehabilitation Patel 9 21 2012 10.1186/1743-0003-9-21 A review of wearable sensors and systems with application in rehabilitation
Telemedicine Journal and E-Health Raknim 22 1 75 2016 10.1089/tmj.2015.0005 Gait monitoring for early neurological disorder detection using sensors in a smartphone: Validation and a case study of Parkinsonism
Journal of Neurology Rochester 259 6 1081 2012 10.1007/s00415-011-6301-9 Understanding the impact of deep brain stimulation on ambulatory activity in advanced Parkinson's disease
Neurology Sato 49 1273 1997 10.1212/WNL.49.5.1273 High prevalence of vitamin D deficiency and reduced bone mass in Parkinson’s disease
Journal of the International Neuropsychological Society Schmitter-Edgecombe 17 5 853 2011 10.1017/S1355617711000865 Cognitive correlates of functional performance in older adults: comparison of self-report, direct observation and performance-based measures
Archives of Clinical Neuropsychology Schmitter-Edgecombe 29 776 2014 10.1093/arclin/acu053 Development and psychometric properties of the instrumental activities of daily living-compensation scale (IADL-C)
Movement Disorders Shulman 25 Suppl. 1 S131 2010 10.1002/mds.22789 Understanding disability in Parkinson's disease
Journal of Neurology, Neurosurgery and Psychiatry Sikkes 80 7 2009 10.1136/jnnp.2008.155838 A systematic review of instrumental activities of daily living scales in dementia: Room for improvement
Biomedical Research International Stack 2016 3703745 2016 10.1155/2016/3703745 Could in-home sensors surpass human observation of people with Parkinson's at high risk of falling? An ethnographic study
International Journal of Medical Informatics Steele 78 12 788 2009 10.1016/j.ijmedinf.2009.08.001 Elderly persons’ perception and acceptance of using wireless sensor networks to assist health care
International Journal of Computer Trends and Technology Sunitha 43 1 49 2017 10.14445/22312803/IJCTT-V43P107 Overview of fifth generation networking
Sensors Tzallas 14 11 21329 2014 10.3390/s141121329 PERFORM: A system for monitoring, assessment and management of patients with Parkinson's disease
Neurorehabilitation and Neural Repair Weiss 25 9 810 2011 10.1177/1545968311424869 Toward automated, at-home assessment of mobility among patients with Parkinson disease, using a body-worn accelerometer
Journal of Neural Transmission Weiss 122 3 403 2015 10.1007/s00702-014-1279-y New evidence for gait abnormalities among Parkinson's disease patients who suffer from freezing of gait: Insights using a body-fixed sensor worn for 3 days
Neuro-degenerative Diseases Wider 5 122 2008 10.1159/000113680 Etiology and pathophysiology of frontotemporal dementia: Parkinson disease and Alzheimer disease: Lessons from genetic studies
Neuroscience Bulletin Xia 28 1 39 2012 10.1007/s12264-012-1050-z Progression of motor symptoms in Parkinson's disease
Computers and Society Zhan 1 2016 High frequency remoter monitoring of Parkinson’s disease via smartphone: Platform overview and medication response detection
IEEE Transactions on Biomedical Engineering Zwartjes 57 11 2778 2010 10.1109/TBME.2010.2049573 Ambulatory monitoring of activities and motor symptoms in Parkinson's disease
The Lancet Neurology de Lau 5 6 525 2006 10.1016/S1474-4422(06)70471-9 Epidemiology of Parkinson's disease
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.