ZurichMOVE related publications:

Clinical application:
Brogioli, M., Schneider, S., Popp, W.L., Albisser, U., Brust, A.K., Velstra, I-M., Gassert, R., Curt, A., Starkey, M.L. (2016). Monitoring upper-limb recovery after cervical spinal cord injury: insights beyond assessment scores. Frontiers in Neurology, 7:142.

Brogioli, M., Popp, W.L., Schneider, S., Albisser, U., Brust, A.K., Frotzler, A., Gassert, R., Curt, A., Starkey, M.L. (2016). Multi-day recordings of wearable sensors are valid and sensitive measures of function and independence in human spinal cord injury. J Neurotrauma, in press.

Brogioli, M., Popp, W.L., Albisser, U., Frotzler, A., Gassert, R., Curt, A., and Starkey, M. (2016). Novel sensor technology to assess independence and limb-use laterality in cervical spinal cord injury. Journal of Neurotrauma, 33(21):1950-1957.

Schneider, S., Popp, W.L., Brogioli, M., Albisser, U., Demkò, L., Debecker, I., Velstra, I.-M., Gassert, R., Curt, A.E. (2018). Reliability of wearable-sensor-derived measures of physical activity in wheelchair-dependent spinal cord injured patients. Frontiers in Neurology 9:1039

Upper Limb Function:
Leuenberger, K., Gonzenbach, R., Luft, A. and Gassert, R. (2016). A method to assess gross upper limb dexterity in stroke survivors in the home environment. Medical and Biological Engineering and Computing, DOI 10.1007/ s11517-016-1496-7.

Local Dynamic stability:
Hamacher, D., Hamacher, D., Taylor, W.R., Singh, N.B., Schega, L. (2014). Towards the assessment of local dynamic stability of level-grounded walking in an older population. Medical Engineering & Physics, in press.

Assessment of functional status:
Koenig, N.; Taylor, W. R.; Armbrecht, G., Dietzel, R., Singh N. B. (2014). Identification of functional parameters for the classification of older female fallers and prediction of ‘first-time’ fallers Journal of the Royal Society Interface 11(97).

Gait Variability:
Koenig, N., Singh, N. B., von Beckerath, J., Janke, L., Taylor, W.R. (2014) Is gait variability reliable? An assessment of spatio-temporal parameters of gait variability during continuous overground walking Gait & Posture 39(1): 615-617.

Sensor re-calibration:
Hamacher, D., Hamacher, D., Taylor, W.R., Singh, N.B., Schega, L. (2014) Towards clinical application: Repetitive sensor position re-calibration for improved reliability of gait parameters Gait & posture 39 (4), 1146-1148-

Wheelchair propulsion:
Popp, W.L., Brogioli, M., Leuenberger, K., Albisser, U., Frotzler, A., Curt, A., Gassert, R. and Starkey, M.L. A novel algorithm for detecting active propulsion in wheelchair users following spinal cord injury. Medical Engineering & Physics, in press.

Walking in stroke survivors:
Leuenberger, K., Gonzenbach, R., Wiedmer, E., Luft, A. and Gassert, R. (2014). Classification of stair ascent and descent in stroke patients. Proc. International Conference on Wearable and Implantable Body Sensor Networks, pp. 11–16.

Tremor analysis:
Imbach, L.L., Sommerauer, M., Leuenberger, K., Schreglmann, S., Maier, O., Uhl, M., Gassert, R. and Baumann, C.R. (2014). Dopamine-responsive pattern in tremor patients. Parkinsonism & Related Disorders, 20(11):1283–1286.

Calibration and rotation behavior:
Leuenberger, K., Hofmann, R., Brugger, P., and Gassert, R. (2015). Measurement of Human Rotation Behavior for Psychological and Neuropsychological Investigations. Behavior Research Methods, in press.

Activity classification:
Moncada-Torres, A., Leuenberger, K., Gonzenbach, R., Luft, A. and Gassert, R. (2014). Activity classification based on inertial and barometric pressure sensors at different anatomical locations. Physiological Measurement, 35(7):1245–1263.

Leuenberger, K., and Gassert, R. (2011). Low-power sensor module for long-term activity monitoring. Proc. IEEE Engineering in Medicine and Biology Conference (EMBC), pp. 2237–2241.

Energy expenditure estimation:
Popp, W.L., Richner, L., Brogioli, M., Wilms, B., Spengler, C.M, Curt, A.E., Starkey, M.L., Gassert, R. (2018). Estimation of energy expenditure in wheelchair-bound spinal cord injured individuals using inertial measurement units. Frontiers in Neurology 9:478