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Items: 1 to 20 of 42


Optimizing the Scale of a Wavelet-Based Method for the Detection of Gait Events from a Waist-Mounted Accelerometer under Different Walking Speeds.

Caramia C, De Marchis C, Schmid M.

Sensors (Basel). 2019 Apr 19;19(8). pii: E1869. doi: 10.3390/s19081869.


Automated Segmentation of Colorectal Tumor in 3D MRI Using 3D Multiscale Densely Connected Convolutional Neural Network.

Soomro MH, Coppotelli M, Conforto S, Schmid M, Giunta G, Del Secco L, Neri E, Caruso D, Rengo M, Laghi A.

J Healthc Eng. 2019 Jan 31;2019:1075434. doi: 10.1155/2019/1075434. eCollection 2019.


IMU-Based Classification of Parkinson's Disease From Gait: A Sensitivity Analysis on Sensor Location and Feature Selection.

Caramia C, Torricelli D, Schmid M, Munoz-Gonzalez A, Gonzalez-Vargas J, Grandas F, Pons JL.

IEEE J Biomed Health Inform. 2018 Nov;22(6):1765-1774. doi: 10.1109/JBHI.2018.2865218. Epub 2018 Aug 13.


Effect of Task Failure on Intermuscular Coherence Measures in Synergistic Muscles.

Castronovo AM, De Marchis C, Schmid M, Conforto S, Severini G.

Appl Bionics Biomech. 2018 Jun 3;2018:4759232. doi: 10.1155/2018/4759232. eCollection 2018.


Thermal Energy Harvesting on the Bodily Surfaces of Arms and Legs through a Wearable Thermo-Electric Generator.

Proto A, Bibbo D, Cerny M, Vala D, Kasik V, Peter L, Conforto S, Schmid M, Penhaker M.

Sensors (Basel). 2018 Jun 13;18(6). pii: E1927. doi: 10.3390/s18061927.


Correction: Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort.

Caramia C, Bernabucci I, D'Anna C, De Marchis C, Schmid M.

PLoS One. 2018 Feb 15;13(2):e0193258. doi: 10.1371/journal.pone.0193258. eCollection 2018.


Haralick's texture features for the prediction of response to therapy in colorectal cancer: a preliminary study.

Caruso D, Zerunian M, Ciolina M, de Santis D, Rengo M, Soomro MH, Giunta G, Conforto S, Schmid M, Neri E, Laghi A.

Radiol Med. 2018 Mar;123(3):161-167. doi: 10.1007/s11547-017-0833-8. Epub 2017 Nov 8.


Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort.

Caramia C, Bernabucci I, D'Anna C, De Marchis C, Schmid M.

PLoS One. 2017 Oct 12;12(10):e0185825. doi: 10.1371/journal.pone.0185825. eCollection 2017. Erratum in: PLoS One. 2018 Feb 15;13(2):e0193258.


Time-to-Boundary Function to Study the Development of Upright Stance Control in Children.

D'Anna C, Schmid M, Scorza A, Sciuto SA, Lopez L, Conforto S.

Open Biomed Eng J. 2017 Apr 28;11:49-58. doi: 10.2174/1874120701711010049. eCollection 2017.


Nanogenerators for Human Body Energy Harvesting.

Proto A, Penhaker M, Conforto S, Schmid M.

Trends Biotechnol. 2017 Jul;35(7):610-624. doi: 10.1016/j.tibtech.2017.04.005. Epub 2017 May 12. Review.


Neuro-Mechanics of Recumbent Leg Cycling in Post-Acute Stroke Patients.

Ambrosini E, De Marchis C, Pedrocchi A, Ferrigno G, Monticone M, Schmid M, D'Alessio T, Conforto S, Ferrante S.

Ann Biomed Eng. 2016 Nov;44(11):3238-3251. doi: 10.1007/s10439-016-1660-0. Epub 2016 Jun 1.


Proficient brain for optimal performance: the MAP model perspective.

Bertollo M, di Fronso S, Filho E, Conforto S, Schmid M, Bortoli L, Comani S, Robazza C.

PeerJ. 2016 May 25;4:e2082. doi: 10.7717/peerj.2082. eCollection 2016.


Measurements of Generated Energy/Electrical Quantities from Locomotion Activities Using Piezoelectric Wearable Sensors for Body Motion Energy Harvesting.

Proto A, Penhaker M, Bibbo D, Vala D, Conforto S, Schmid M.

Sensors (Basel). 2016 Apr 12;16(4). pii: E524. doi: 10.3390/s16040524.


Can a Visual Biofeedback system based on predictive information improve postural performance?

D'Anna C, Schmid M, Scorza A, Goffredo M, Sciuto SA, Conforto S.

Conf Proc IEEE Eng Med Biol Soc. 2015;2015:6951-4. doi: 10.1109/EMBC.2015.7319991.


Time to boundary function to assess upright stance in blind children.

D'Anna C, Gazzellini S, Petrarca M, Vasco G, Castelli E, Schmid M, Conforto S.

Conf Proc IEEE Eng Med Biol Soc. 2015 Aug;2015:3468-71. doi: 10.1109/EMBC.2015.7319139.


Pre-Processing Effect on the Accuracy of Event-Based Activity Segmentation and Classification through Inertial Sensors.

Fida B, Bernabucci I, Bibbo D, Conforto S, Schmid M.

Sensors (Basel). 2015 Sep 11;15(9):23095-109. doi: 10.3390/s150923095.


The Effect of Continuous and Discretized Presentations of Concurrent Augmented Visual Biofeedback on Postural Control in Quiet Stance.

D'Anna C, Schmid M, Bibbo D, Bertollo M, Comani S, Conforto S.

PLoS One. 2015 Jul 21;10(7):e0132711. doi: 10.1371/journal.pone.0132711. eCollection 2015.


Varying behavior of different window sizes on the classification of static and dynamic physical activities from a single accelerometer.

Fida B, Bernabucci I, Bibbo D, Conforto S, Schmid M.

Med Eng Phys. 2015 Jul;37(7):705-11. doi: 10.1016/j.medengphy.2015.04.005. Epub 2015 May 13.


Intermuscular coherence contributions in synergistic muscles during pedaling.

De Marchis C, Severini G, Castronovo AM, Schmid M, Conforto S.

Exp Brain Res. 2015 Jun;233(6):1907-19. doi: 10.1007/s00221-015-4262-4. Epub 2015 Mar 28.


SVM versus MAP on accelerometer data to distinguish among locomotor activities executed at different speeds.

Schmid M, Riganti-Fulginei F, Bernabucci I, Laudani A, Bibbo D, Muscillo R, Salvini A, Conforto S.

Comput Math Methods Med. 2013;2013:343084. doi: 10.1155/2013/343084. Epub 2013 Nov 27.

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