Recognizing Digital Biomarkers for Fatigue Assessment in Patients with Multiple Sclerosis
暂无分享,去创建一个
[1] S. Hauser,et al. The Neurobiology of Multiple Sclerosis: Genes, Inflammation, and Neurodegeneration , 2006, Neuron.
[2] S. Ayache,et al. Fatigue in multiple sclerosis – Insights into evaluation and management , 2017, Neurophysiologie Clinique/Clinical Neurophysiology.
[3] Fei Yu,et al. Fatigued patients with multiple sclerosis can be discriminated from healthy controls by the recordings of a newly developed measurement system (FAMOS): a pilot study , 2013, Disability and rehabilitation. Assistive technology.
[4] Christian Fischer Pedersen,et al. Feasibility of using a lightweight context-aware system for facilitating reliable home blood pressure self-measurements , 2013, 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops.
[5] Annegret Mündermann,et al. Objective assessment of motor fatigue in multiple sclerosis using kinematic gait analysis: a pilot study , 2011, Journal of NeuroEngineering and Rehabilitation.
[6] B. Dolezal,et al. Validation of Biofeedback Wearables for Photoplethysmographic Heart Rate Tracking. , 2016, Journal of sports science & medicine.
[7] D. Bourdette,et al. Novel method for measurement of fatigue in multiple sclerosis: Real-Time Digital Fatigue Score. , 2010, Journal of rehabilitation research and development.
[8] Hye Rim Cho,et al. A graphene-based electrochemical device with thermoresponsive microneedles for diabetes monitoring and therapy. , 2016, Nature nanotechnology.
[9] Sinziana Mazilu,et al. GaitAssist: a daily-life support and training system for parkinson's disease patients with freezing of gait , 2014, CHI.