Time in Parkinson’s disease: Clinical and preclinical markers

M.E. Mico Amigo

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

Original languageEnglish
QualificationPhD
Awarding Institution
  • Vrije Universiteit Amsterdam
Supervisors/Advisors
  • van Dieen, Jaap , Supervisor
  • Kingma, I., Co-supervisor, External person
Award date14 Dec 2018
Publication statusPublished - 2018

Keywords

  • Parkinson's disease
  • wearable sensors
  • accelerometer
  • gait analysis
  • dual-tasking
  • step-detection algorithm

Cite this

@phdthesis{931dd8a646504ae284c4326ad1a547f8,
title = "Time in Parkinson’s disease: Clinical and preclinical markers",
keywords = "Parkinson's disease, wearable sensors, accelerometer, gait analysis, dual-tasking, step-detection algorithm",
author = "{Mico Amigo}, M.E.",
year = "2018",
language = "English",
school = "Vrije Universiteit Amsterdam",

}

Mico Amigo, ME 2018, 'Time in Parkinson’s disease: Clinical and preclinical markers', PhD, Vrije Universiteit Amsterdam.

Time in Parkinson’s disease : Clinical and preclinical markers. / Mico Amigo, M.E.

2018. 292 p.

Research output: PhD ThesisPhD Thesis - Research VU, graduation VUAcademic

TY - THES

T1 - Time in Parkinson’s disease

T2 - Clinical and preclinical markers

AU - Mico Amigo, M.E.

PY - 2018

Y1 - 2018

KW - Parkinson's disease

KW - wearable sensors

KW - accelerometer

KW - gait analysis

KW - dual-tasking

KW - step-detection algorithm

M3 - PhD Thesis - Research VU, graduation VU

ER -