Publications

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

Werner, C., Schneider, S., Gassert, R., Curt, A., Demko, L. (2020). Complementing Clinical Gait Assessments of Spinal Cord Injured Individuals using Wearable Movement Sensors. IEEE Engineering in Medicine and Biology Society. Annual International Conference Proceedings, 2020:3142-3145.

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.

Schneider, S., Popp, W. L., Brogioli, M., Albisser, U., Ortmann, S., Velstra, I., Demko, L., Gassert, R., Curt, A. (2019). Predicting upper limb compensation during prehension tasks in tetraplegic spinal cord injured patients using a single wearable sensor. IEEE International Conference on Rehabilitation Robotics. Proceedings, 2019:1000-1006.

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.

Hardware:
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