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1
Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan.
Arch Phys Med Rehabil. 2019 Jun;100(6):1176-1183. doi: 10.1016/j.apmr.2019.01.004. Epub 2019 Jan 29.
5
A Novel, Wearable Inertial Measurement Unit for Stroke Survivors: Validity, Acceptability, and Usability.
Arch Phys Med Rehabil. 2024 Jun;105(6):1142-1150. doi: 10.1016/j.apmr.2024.01.020. Epub 2024 Mar 5.
6
Relationships between accelerometry and general compensatory movements of the upper limb after stroke.
J Neuroeng Rehabil. 2020 Oct 20;17(1):138. doi: 10.1186/s12984-020-00773-4.
7
Identifying compensatory movement patterns in the upper extremity using a wearable sensor system.
Physiol Meas. 2017 Nov 30;38(12):2222-2234. doi: 10.1088/1361-6579/aa9835.
9
Accelerometer-Based Monitoring of Upper Limb Movement in Older Adults With Acute and Subacute Stroke.
J Geriatr Phys Ther. 2016 Oct-Dec;39(4):171-7. doi: 10.1519/JPT.0000000000000067.
10
Estimating Upper-Limb Impairment Level in Stroke Survivors Using Wearable Inertial Sensors and a Minimally-Burdensome Motor Task.
IEEE Trans Neural Syst Rehabil Eng. 2020 Mar;28(3):601-611. doi: 10.1109/TNSRE.2020.2966950. Epub 2020 Jan 15.

引用本文的文献

1
A Large Harmonized Upper and Lower Limb Accelerometry Dataset: A Resource for Rehabilitation Scientists.
medRxiv. 2024 Aug 16:2024.08.15.24312066. doi: 10.1101/2024.08.15.24312066.
4
Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.
Front Pediatr. 2024 Mar 1;12:1361757. doi: 10.3389/fped.2024.1361757. eCollection 2024.
5
Associations Between Coordination and Wearable Sensor Variables Vary by Recording Context but Not Assessment Type.
J Mot Behav. 2024;56(3):339-355. doi: 10.1080/00222895.2023.2300969. Epub 2024 Jan 8.
7
Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors' and occupational therapists' perspectives.
PLoS One. 2022 Oct 20;17(10):e0274142. doi: 10.1371/journal.pone.0274142. eCollection 2022.
8
A Feasibility Study of Bilateral Wrist Sensors for Measuring Motor Traits in Children With Autism.
Percept Mot Skills. 2022 Dec;129(6):1709-1735. doi: 10.1177/00315125221125275. Epub 2022 Sep 6.
9
Effect of Unilateral Shoulder Disorder on the Stance Phase of Human Gait.
ScientificWorldJournal. 2022 Apr 25;2022:8205879. doi: 10.1155/2022/8205879. eCollection 2022.

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2
Accuracy and precision of consumer-level activity monitors for stroke detection during wheelchair propulsion and arm ergometry.
PLoS One. 2018 Feb 14;13(2):e0191556. doi: 10.1371/journal.pone.0191556. eCollection 2018.
3
Comparison of Self-Report Versus Sensor-Based Methods for Measuring the Amount of Upper Limb Activity Outside the Clinic.
Arch Phys Med Rehabil. 2018 Sep;99(9):1913-1916. doi: 10.1016/j.apmr.2017.12.025. Epub 2018 Mar 10.
4
Development of the Hand Assessment for Infants: evidence of internal scale validity.
Dev Med Child Neurol. 2017 Dec;59(12):1276-1283. doi: 10.1111/dmcn.13585. Epub 2017 Oct 6.
5
Kinematic characteristics of infant leg movements produced across a full day.
J Rehabil Assist Technol Eng. 2017 Jan-Dec;4. doi: 10.1177/2055668317717461. Epub 2017 Jul 3.
8
Visualisation of upper limb activity using spirals: A new approach to the assessment of daily prosthesis usage.
Prosthet Orthot Int. 2018 Feb;42(1):37-44. doi: 10.1177/0309364617706751. Epub 2017 Jun 26.
10
Does Task-Specific Training Improve Upper Limb Performance in Daily Life Poststroke?
Neurorehabil Neural Repair. 2017 Mar;31(3):290-300. doi: 10.1177/1545968316680493. Epub 2016 Dec 13.

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