Pohl J, Verheyden G, Held J, Luft A, Easthope Awai C, Veerbeek J
J Neuroeng Rehabil. 2025; 22(1):14.
PMID: 39881332
PMC: 11776245.
DOI: 10.1186/s12984-024-01512-9.
Kakegawa K, Matsuda T
Sensors (Basel). 2025; 25(1.
PMID: 39796804
PMC: 11722622.
DOI: 10.3390/s25010016.
Fromel K, Dygryn J, Vorlicek M, Jakubec L, Groffik D, Smekal D
Ann Med. 2025; 57(1):2446687.
PMID: 39744898
PMC: 11703062.
DOI: 10.1080/07853890.2024.2446687.
Rasa A
Biomed Res Int. 2024; 2024:9554590.
PMID: 39720127
PMC: 11668540.
DOI: 10.1155/bmri/9554590.
Izmailova E, Middleton D, Yunis R, Lakeland J, Sowalsky K, Kling J
Clin Transl Sci. 2024; 17(11):e70054.
PMID: 39491883
PMC: 11532371.
DOI: 10.1111/cts.70054.
Quantifying Asymmetric Gait Pattern Changes Using a Hidden Markov Model Similarity Measure (HMM-SM) on Inertial Sensor Signals.
Ng G, Gouda A, Andrysek J
Sensors (Basel). 2024; 24(19).
PMID: 39409470
PMC: 11479378.
DOI: 10.3390/s24196431.
Toward Physiological Detection of a "Just-Right" Challenge Level for Motor Learning in Immersive Virtual Reality: Protocol for a Cross-Sectional Study.
Lemay M, Levac D
JMIR Res Protoc. 2024; 13:e55730.
PMID: 39312763
PMC: 11459106.
DOI: 10.2196/55730.
A Large Harmonized Upper and Lower Limb Accelerometry Dataset: A Resource for Rehabilitation Scientists.
Miller A, Lohse K, Bland M, Konrad J, Hoyt C, Lenze E
medRxiv. 2024; .
PMID: 39185533
PMC: 11343270.
DOI: 10.1101/2024.08.15.24312066.
Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study.
De Ramon Fernandez A, Ruiz Fernandez D, Garcia Jaen M, Cortell-Tormo J
JMIR Med Inform. 2024; 12:e57097.
PMID: 39121473
PMC: 11344189.
DOI: 10.2196/57097.
Transferring Sensor-Based Assessments to Clinical Practice: The Case of Muscle Synergies.
Scano A, Lanzani V, Brambilla C, dAvella A
Sensors (Basel). 2024; 24(12).
PMID: 38931719
PMC: 11207859.
DOI: 10.3390/s24123934.
Exploring needs and requirements for a prototype device measuring physical activity in pediatric physical therapy: A qualitative study.
Engels B, Kloek C, Sol M, Bolster E, Kotte E, Wittink H
PLoS One. 2024; 19(6):e0305968.
PMID: 38917177
PMC: 11198827.
DOI: 10.1371/journal.pone.0305968.
Sacroiliac Joint Dysfunction in Endurance Runners Using Wearable Technology as a Clinical Monitoring Tool: Systematic Review.
Evans S
JMIR Biomed Eng. 2024; 9:e46067.
PMID: 38875697
PMC: 11148519.
DOI: 10.2196/46067.
Quantifying the effects of sleep on sensor-derived variables from upper limb accelerometry in people with and without upper limb impairment.
Miller A, Lang C, Bland M, Lohse K
J Neuroeng Rehabil. 2024; 21(1):86.
PMID: 38807245
PMC: 11131201.
DOI: 10.1186/s12984-024-01384-z.
Impact of automated data flow and reminders on adherence and resource utilization for remotely monitoring physical activity in individuals with stroke or chronic obstructive pulmonary disease.
French M, Balasubramanian A, Hansel N, Penttinen S, Wise R, Raghavan P
medRxiv. 2024; .
PMID: 38699312
PMC: 11064997.
DOI: 10.1101/2024.04.15.24305852.
Validity of an android device for assessing mobility in people with chronic stroke and hemiparesis: a cross-sectional study.
Sanchez-Sanchez M, Ruescas-Nicolau M, Arnal-Gomez A, Iosa M, Perez-Alenda S, Cortes-Amador S
J Neuroeng Rehabil. 2024; 21(1):54.
PMID: 38616288
PMC: 11017601.
DOI: 10.1186/s12984-024-01346-5.
Lumbo-Pelvic Rhythm Monitoring Using Wearable Technology with Sensory Biofeedback: A Systematic Review.
Garcia-Jaen M, Sebastia-Amat S, Sanchis-Soler G, Cortell-Tormo J
Healthcare (Basel). 2024; 12(7).
PMID: 38610180
PMC: 11012179.
DOI: 10.3390/healthcare12070758.
Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.
Lang C, Hoyt C, Konrad J, Bell K, Marrus N, Bland M
Front Pediatr. 2024; 12:1361757.
PMID: 38496366
PMC: 10940427.
DOI: 10.3389/fped.2024.1361757.
Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study.
Thanarajasingam G, Kluetz P, Bhatnagar V, Brown A, Cathcart-Rake E, Diamond M
BMJ Open. 2024; 14(1):e074030.
PMID: 38199641
PMC: 10806877.
DOI: 10.1136/bmjopen-2023-074030.
Associations Between Coordination and Wearable Sensor Variables Vary by Recording Context but Not Assessment Type.
Konrad J, Marrus N, Lohse K, Thuet K, Lang C
J Mot Behav. 2024; 56(3):339-355.
PMID: 38189355
PMC: 10957306.
DOI: 10.1080/00222895.2023.2300969.
Wearable Technology to Capture Arm Use of People With Stroke in Home and Community Settings: Feasibility and Early Insights on Motor Performance.
Demers M, Bishop L, Cain A, Saba J, Rowe J, Zondervan D
Phys Ther. 2024; 104(2).
PMID: 38166199
PMC: 10851839.
DOI: 10.1093/ptj/pzad172.