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Marcin Strączkiewicz
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A systematic review of smartphone-based human activity recognition methods for health research
M Straczkiewicz, P James, JP Onnela
NPJ Digital Medicine 4 (1), 1-15, 2021
1262021
Accelerometry data in health research: challenges and opportunities: review and examples
M Karas, J Bai, M Strączkiewicz, J Harezlak, NW Glynn, T Harris, ...
Statistics in biosciences 11, 210-237, 2019
862019
Normalization of vibration signals generated under highly varying speed and load with application to signal separation
J Urbanek, T Barszcz, M Strączkiewicz, A Jablonski
Mechanical Systems and Signal Processing 82, 13-31, 2017
402017
Application of artificial neural network for damage detection in planetary gearbox of wind turbine
M Strączkiewicz, T Barszcz
Shock and vibration 2016, 2016
392016
On placement, location and orientation of wrist-worn tri-axial accelerometers during free-living measurements
M Straczkiewicz, NW Glynn, J Harezlak
Sensors 19 (9), 2095, 2019
332019
Supervised and unsupervised learning process in damage classification of rolling element bearings
M Strączkiewicz, P Czop, T Barszcz
Diagnostyka 17 (2), 71-80, 2016
262016
Triple correlation for detection of damage-related nonlinearities in composite structures
A Klepka, M Strączkiewicz, L Pieczonka, WJ Staszewski, L Gelman, ...
Nonlinear Dynamics 81, 453-468, 2015
262015
Automatic car driving detection using raw accelerometry data
M Strączkiewicz, JK Urbanek, WF Fadel, CM Crainiceanu, J Harezlak
Physiological Measurement 37 (10), 1757, 2016
212016
Adaptive empirical pattern transformation (ADEPT) with application to walking stride segmentation
M Karas, M Stra̧czkiewicz, W Fadel, J Harezlak, CM Crainiceanu, ...
Biostatistics 22 (2), 331-347, 2021
192021
Detection and classification of alarm threshold violations in condition monitoring systems working in highly varying operational conditions
M Strączkiewicz, T Barszcz, A Jabłoński
Journal of Physics: Conference Series 628 (1), 012087, 2015
122015
The use of a fuzzy logic approach for integration of vibration-based diagnostic features of rolling element bearings
M Strączkiewicz, P Czop, T Barszcz
Journal of Vibroengineering 17 (4), 1760-1768, 2015
122015
A “one-size-fits-most” walking recognition method for smartphones, smartwatches, and wearable accelerometers
M Straczkiewicz, EJ Huang, JP Onnela
npj Digital Medicine 6 (1), 29, 2023
92023
A systematic review of human activity recognition using smartphones
M Straczkiewicz, JP Onnela
arXiv preprint arXiv:1910.03970, 2019
92019
Novel intuitive hierarchical structure for condition monitoring system of wind turbines
T Barszcz, M Strączkiewicz
Diagnostyka 14 (3), 53--60, 2013
92013
Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures
SA Johnson, M Karas, KM Burke, M Straczkiewicz, ZA Scheier, AP Clark, ...
NPJ Digital Medicine 6 (1), 34, 2023
82023
Combining digital pill and smartphone data to quantify medication adherence in an observational psychiatric pilot study
M Straczkiewicz, H Wisniewski, KW Carlson, Z Heidary, J Knights, ...
Psychiatry Research 315, 114707, 2022
72022
CARL: a running recognition algorithm for free-living accelerometer data
JJ Davis, M Straczkiewicz, J Harezlak, AH Gruber
Physiological Measurement 42 (11), 115001, 2021
72021
Joint power-speed representation of vibration features. application to wind turbine planetary gearbox
J Urbanek, M Strączkiewicz, T Barszcz
Advances in Condition Monitoring of Machinery in Non-Stationary Operations …, 2014
62014
Fast and robust algorithm for detecting body posture using wrist-worn accelerometers
M Straczkiewicz, NW Glynn, V Zipunnikov, J Harezlak
Journal for the Measurement of Physical Behaviour 3 (4), 285-293, 2020
42020
Machinery in highly changing operations: on designation of operational states
M Straczkiewicz, P Wiciak, A Jabłonski, T Barszcz
Proceedings of the 12th International Conference on Condition Monitoring and …, 2015
32015
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Articles 1–20