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Items: 15

1.

Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models.

Lonini L, Dai A, Shawen N, Simuni T, Poon C, Shimanovich L, Daeschler M, Ghaffari R, Rogers JA, Jayaraman A.

NPJ Digit Med. 2018 Nov 23;1:64. doi: 10.1038/s41746-018-0071-z. eCollection 2018.

2.

Association of sleep with neurobehavioral impairments during inpatient rehabilitation after traumatic brain injury.

Maneyapanda MB, Stork R, Ingraham B, Lonini L, Jayaraman A, Shawen N, Ripley D.

NeuroRehabilitation. 2018;43(3):319-325. doi: 10.3233/NRE-182533.

PMID:
30347627
3.

Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications.

Shawen N, Lonini L, Mummidisetty CK, Shparii I, Albert MV, Kording K, Jayaraman A.

JMIR Mhealth Uhealth. 2017 Dec 20;5(12):e167. doi: 10.2196/mhealth.9177.

4.

Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications.

Shawen N, Lonini L, Mummidisetty CK, Shparii I, Albert MV, Kording K, Jayaraman A.

JMIR Mhealth Uhealth. 2017 Oct 11;5(10):e151. doi: 10.2196/mhealth.8201. Erratum in: JMIR Mhealth Uhealth. 2017 Dec 20;5(12 ):e167.

5.

Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models.

Lonini L, Gupta A, Deems-Dluhy S, Hoppe-Ludwig S, Kording K, Jayaraman A.

JMIR Rehabil Assist Technol. 2017 Aug 10;4(2):e8. doi: 10.2196/rehab.7317.

6.

Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury.

Lonini L, Reissman T, Ochoa JM, Mummidisetty CK, Kording K, Jayaraman A.

Am J Phys Med Rehabil. 2017 Oct;96(10 Suppl 1):S128-S134. doi: 10.1097/PHM.0000000000000750.

7.

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

Little MA, Varoquaux G, Saeb S, Lonini L, Jayaraman A, Mohr DC, Kording KP.

Gigascience. 2017 May 1;6(5):1-6. doi: 10.1093/gigascience/gix020.

8.

The need to approximate the use-case in clinical machine learning.

Saeb S, Lonini L, Jayaraman A, Mohr DC, Kording KP.

Gigascience. 2017 May 1;6(5):1-9. doi: 10.1093/gigascience/gix019.

9.

Activity recognition in patients with lower limb impairments: do we need training data from each patient?

Lonini L, Gupta A, Kording K, Jayaraman A.

Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:3265-3268. doi: 10.1109/EMBC.2016.7591425.

PMID:
28269004
10.

Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study.

Lonini L, Shawen N, Scanlan K, Rymer WZ, Kording KP, Jayaraman A.

J Neuroeng Rehabil. 2016 Mar 31;13:35. doi: 10.1186/s12984-016-0142-9.

11.

Robust active binocular vision through intrinsically motivated learning.

Lonini L, Forestier S, Teulière C, Zhao Y, Shi BE, Triesch J.

Front Neurorobot. 2013 Nov 7;7:20. doi: 10.3389/fnbot.2013.00020. eCollection 2013.

12.

Incremental learning control of the DLR-HIT-Hand II during interaction tasks.

Alessi A, Zollo L, Lonini L, De Falco R, Guglielmelli E.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:3194-7. doi: 10.1109/IEMBS.2010.5627411.

PMID:
21096810
13.

ODEs model of foreign body reaction around peripheral nerve implanted electrode.

Di Pino G, Formica D, Lonini L, Accoto D, Benvenuto A, Micera S, Rossini PM, Guglielmelli E.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:1543-6. doi: 10.1109/IEMBS.2010.5626825.

PMID:
21096377
14.

An internal model for acquisition and retention of motor learning during arm reaching.

Lonini L, Dipietro L, Zollo L, Guglielmelli E, Krebs HI.

Neural Comput. 2009 Jul;21(7):2009-27. doi: 10.1162/neco.2009.03-08-721.

PMID:
19323640
15.

Dispensing an enzyme-conjugated solution into an ELISA plate by adapting ink-jet printers.

Lonini L, Accoto D, Petroni S, Guglielmelli E.

J Biochem Biophys Methods. 2008 Apr 24;70(6):1180-4. Epub 2007 May 23.

PMID:
17588671

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