Body-worn sensors—the brave new world of clinical measurement?

Movement Disorders

Volumn 30, Issue 9, 2015, Pages 1203-1205

  Maetzler, Walter ^a,b   Rochester, Lynn ^c  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

^c NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AMBULATORY MONITORING; BODY EQUILIBRIUM; BODY POSTURE; COMPLICATION; DEVICES; DYSKINESIA, DRUG-INDUCED; FEMALE; HUMAN; MALE; PARKINSON DISEASE; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; PROCEDURES; SENSATION DISORDERS;

DYSKINESIA, DRUG-INDUCED; FEMALE; HUMANS; MALE; MONITORING, AMBULATORY; PARKINSON DISEASE; POSTURAL BALANCE; POSTURE; SENSATION DISORDERS; SIGNAL DETECTION, PSYCHOLOGICAL;

EID: 84973495910     PISSN: 08853185     EISSN: 15318257     Source Type: Journal    
DOI: 10.1002/mds.26317     Document Type: Editorial

References (16)

1. Lopane G, Mellone S, Chiari L, Cortelli P, Calandra-Buonaura G, Contin M. Dyskinesia detection and monitoring by a single sensor in patients with Parkinson's disease. Mov Disord 2015;30:1267-1271.
2. Ozinga SJ, Machado AG, Miller Koop M, Rosenfeldt AB, Alberts JL. Objective assessment of postural stability in Parkinson's disease using mobile technology. Mov Disord 2015;30:1214-1221.
3. Maetzler W, Domingos J, Srulijes K, Ferreira JJ, Bloem BR. Quantitative wearable sensors for objective assessment of Parkinson's disease. Mov Disord 2013;28:1628-1637.
4. Arora S, Venkataraman V, Zhan A, et al. Detecting and monitoring the symptoms of Parkinson's disease using smartphones: a pilot study. Parkinsonism Relat Disord 2015;21:650-653.
5. Ferreira JJ, Santos A, Godinho C, et al. Quantitative home-based assessment of Parkinson's symptoms: the SENSE-PARK feasibility and usability study. BMC Neurol 2015;15:89.
6. Cancela J, Pastorino M, Arredondo MT, Nikita KS, Villagra F, Pastor MA. Feasibility study of a wearable system based on a wireless body area network for gait assessment in Parkinson's disease patients. Sensors (Basel) 2014;14:4618-4633.
7. Weiss A, Sharifi S, Plotnik M, van Vugt JP, Giladi N, Hausdorff JM. Toward automated, at-home assessment of mobility among patients with Parkinson disease, using a body-worn accelerometer. Neurorehabil Neural Repair 2011;25:810-818.
8. Weiss A, Herman T, Giladi N, Hausdorff JM. Objective assessment of fall risk in Parkinson's disease using a body-fixed sensor worn for 3 days. PLoS One 2014;9:e96675.
9. Hammerla N, Fisher J, Andras P, Rochester L, Walker R, Ploetz T. PD Disease State Assessment in Naturalistic Environments using Deep Learning. In: Twenty-ninth AAAI Conference on Artificial Intelligence (AAAI-2015). 2015, Austin, Texas: Association for the Advancement of Artificial Intelligence.
10. Lord S, Godfrey A, Galna B, Mhiripiri D, Burn D, Rochester L. Ambulatory activity in incident Parkinson's: more than meets the eye? J Neurol 2013;260:2964-2972.
11. Weiss A, Herman T, Plotnik M, Brozgol M, Giladi N, Hausdorff JM. An instrumented timed up and go: the added value of an accelerometer for identifying fall risk in idiopathic fallers. Physiol Meas 2011;32:2003-2018.
12. Hasmann SE, Berg D, Hobert MA, et al. Instrumented functional reach test differentiates individuals at high risk for Parkinson's disease from controls. Front Aging Neurosci 2014;6:286.
13. Horak FB, Mancini M. Objective biomarkers of balance and gait for Parkinson's disease using body-worn sensors. Mov Disord 2013;28:1544-1551.
14. Din S, Godfrey A, Rochester L. 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. IEEE J Biomed Heal informatics 2015 Apr 2. doi: 10.1109/JBHI.2015.2419317. [Epub ahead of print].
15. Godfrey A, Lara J, Del Din S, et al. iCap: instrumented assessment of physical capability. Maturitas 2015 Apr 14. pii: S0378-5122(15)00640-4. doi: 10.1016/j.maturitas.2015.04.003. [Epub ahead of print].
16. Serrano JA, Larsen F, Isaacs T, et al. Participatory design in Parkinson's research with focus on the symptomatic domains to be measured. J Parkinsons Dis 2015;15:187-196.