日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Detecting the symptoms of Parkinson's disease with non-standard video

利用非标准视频检测帕金森病症状

期刊:Journal of NeuroEngineering and Rehabilitation
影响因子:5.2
doi:10.1186/s12984-024-01362-5
Mifsud, Joseph; Embry, Kyle R; Macaluso, Rebecca; Lonini, Luca; Cotton, R James; Simuni, Tanya; Jayaraman, Arun
帕金森
神经科学
发表日期：2024
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Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study

基于视频的姿态估计在卒中幸存者临床评估步态分析中的应用：概念验证研究

期刊:Digital Biomarkers
影响因子:
doi:10.1159/000520732
Lonini, Luca; Moon, Yaejin; Embry, Kyle; Cotton, R James; McKenzie, Kelly; Jenz, Sophia; Jayaraman, Arun
发表日期：2022
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Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study

利用可穿戴设备和结构化活动快速筛查与 COVID-19 相关的生理变化：一项试点研究

期刊:IEEE Journal of Translational Engineering in Health and Medicine-Jtehm
影响因子:4.4
doi:10.1109/JTEHM.2021.3058841
Lonini, Luca; Shawen, Nicholas; Botonis, Olivia; Fanton, Michael; Jayaraman, Chadrasekaran; Mummidisetty, Chaithanya Krishna; Shin, Sung Yul; Rushin, Claire; Jenz, Sophia; Xu, Shuai; Rogers, John A; Jayaraman, Arun
发表日期：2021
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Role of data measurement characteristics in the accurate detection of Parkinson's disease symptoms using wearable sensors

数据测量特征在利用可穿戴传感器准确检测帕金森病症状中的作用

期刊:Journal of NeuroEngineering and Rehabilitation
影响因子:5.2
doi:10.1186/s12984-020-00684-4
Shawen, Nicholas; O'Brien, Megan K; Venkatesan, Sanjeev; Lonini, Luca; Simuni, Tanya; Hamilton, Jamie L; Ghaffari, Roozbeh; Rogers, John A; Jayaraman, Arun
帕金森
神经科学
发表日期：2020
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Wearable sensors for Parkinson's disease: which data are worth collecting for training symptom detection models

用于帕金森病的可穿戴传感器：哪些数据值得收集以训练症状检测模型

期刊:npj Digital Medicine
影响因子:15.1
doi:10.1038/s41746-018-0071-z
Lonini, Luca; Dai, Andrew; Shawen, Nicholas; Simuni, Tanya; Poon, Cynthia; Shimanovich, Leo; Daeschler, Margaret; Ghaffari, Roozbeh; Rogers, John A; Jayaraman, Arun
帕金森
神经科学
发表日期：2018
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Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

利用手机对下肢截肢患者进行跌倒检测：机器学习增强了实际应用中的鲁棒性

期刊:Jmir Mhealth and Uhealth
影响因子:6.2
doi:10.2196/mhealth.8201
Shawen, Nicholas; Lonini, Luca; Mummidisetty, Chaithanya Krishna; Shparii, Ilona; Albert, Mark V; Kording, Konrad; Jayaraman, Arun
发表日期：2017
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Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

附录：利用手机检测下肢截肢患者的跌倒：机器学习增强了实际应用中的鲁棒性

期刊:Jmir Mhealth and Uhealth
影响因子:6.2
doi:10.2196/mhealth.9177
Shawen, Nicholas; Lonini, Luca; Mummidisetty, Chaithanya Krishna; Shparii, Ilona; Albert, Mark V; Kording, Konrad; Jayaraman, Arun
发表日期：2017
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Using and understanding cross-validation strategies. Perspectives on Saeb et al

交叉验证策略的运用与理解。对 Saeb 等人研究的展望

期刊:Gigascience
影响因子:3.9
doi:10.1093/gigascience/gix020
Little, Max A; Varoquaux, Gael; Saeb, Sohrab; Lonini, Luca; Jayaraman, Arun; Mohr, David C; Kording, Konrad P
发表日期：2017
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The need to approximate the use-case in clinical machine learning

临床机器学习中近似用例的需求

期刊:Gigascience
影响因子:3.9
doi:10.1093/gigascience/gix019
Saeb, Sohrab; Lonini, Luca; Jayaraman, Arun; Mohr, David C; Kording, Konrad P
发表日期：2017
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Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury

利用传感器融合推断不完全性脊髓损伤患者在家中站立和伸手的位置

期刊:American Journal of Physical Medicine & Rehabilitation
影响因子:2.4
doi:10.1097/PHM.0000000000000750
Lonini, Luca; Reissman, Timothy; Ochoa, Jose M; Mummidisetty, Chaithanya K; Kording, Konrad; Jayaraman, Arun
脊髓损伤
神经科学
发表日期：2017
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