Results 221 to 230 of about 485,645 (257)

Calibration-free sEMG intention recognition via self-supervised pretraining and adversarial domain alignment for upper-limb rehabilitation. [PDF]

Sci Rep
Yang Y, Teo HH, King YJ, Zhang Y, Wang G, Qu X.   +5 more
europepmc   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

Advanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye, Wei Rong, Waiming Li, Kwok‐Ting Wong, Man‐Kit Pang, Hon‐Wah Wai, Lilly Li, Zicong Hong, Song Guo, Zong‐Hao Ma, Yongping Zheng, Ming Zhang, Nicholas Chow, Jianing Zhang, Xiaoling Hu, Fei Chen, Waisang Poon   +16 more
wiley   +1 more source

Development of a Chemometric Platform for Mid-Infrared Fermentation Monitoring

Torres-Acosta MA, Mohan N, Yang Y, Allen J, Ward JM, Lye GJ.   +5 more
europepmc   +1 more source

Development and validation of the CARE-DM model to predict the cardiovascular risk in older persons with type 2 diabetes. [PDF]

Eur J Prev Cardiol
Aponte Ribero V, Efthimiou O, Alwan H, Bauer DC, Henrard S, Waeber G, Marques-Vidal P, Rodondi N, Del Giovane C, Gencer B.   +9 more
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Adverse event prediction in propofol-remimazolam tosilate anesthesia. [PDF]

Front Med (Lausanne)
Zhai M, Sun F, Liang S.
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Predicting tigecycline-related adverse events in infected patients: a machine learning approach with clinical interpretability. [PDF]

Front Pharmacol
Wu S, Chen Y, Fan W, Wu X, Zhang C, Lin Y, Lin Q.   +6 more
europepmc   +1 more source

Prognosis of surgery and nomogram for patients with IIIA lung squamous cell carcinoma: a propensity score matched SEER database analysis. [PDF]

J Thorac Dis
Chen Y, Mo W, Pei Y, Wang H.
europepmc   +1 more source

Segmentation-Guided Hybrid Deep Learning for Pulmonary Nodule Detection and Risk Prediction from Multi-Cohort CT Images. [PDF]

Diseases
Subramanyam GK, Srinivas K, Indugu VVR, Gondi DS, Subbammagari SKG.   +4 more
europepmc   +1 more source