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Calibration

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Embedded Force Sensor with Deep Transformation Calibration for Interventional Soft Robots.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
A calibration method for gelatin-graphite-based soft sensors is proposed. This approach uses convolutional deep learning approaches that account for a sensor's non-linear behaviour and reduce noise amplification. This technique offers a smaller minim...

Multi-Scale Self-Supervised Consistency Training for Trustworthy Medical Imaging Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Modern neural network models have demonstrated exceptional classification capabilities comparable to human performance in various medical diagnosis tasks. However, their practical application in real-world medical scenarios is hindered by an issue kn...

Advancing SSVEP-BCI Decoding: Cross-Subject Transfer Learning and Short Calibrated Approach with ELM-AE.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
The Steady-State Visually Evoked Potential (SSVEP) is a robust paradigm for developing a high-speed Brain-Computer Interface (BCI). However, one of the challenges of BCI is to face the variability of EEG signals between subjects to reduce or eliminat...

Novel calibration design improves knowledge transfer across products for the characterization of pharmaceutical bioprocesses.

Biotechnology journal
Modern machine learning has the potential to fundamentally change the way bioprocesses are developed. In particular, horizontal knowledge transfer methods, which seek to exploit data from historical processes to facilitate process development for a n...

m6ACali: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq.

Nucleic acids research
We present m6ACali, a novel machine-learning framework aimed at enhancing the accuracy of N6-methyladenosine (m6A) epitranscriptome profiling by reducing the impact of non-specific antibody enrichment in MeRIP-Seq. The calibration model serves as a g...

Development of Biomechanical Response Curves for the Calibration of Biofidelic Measuring Devices Used in Robot Collision Testing.

Journal of biomechanical engineering
Collaborative robots (cobots) can be employed in close proximity to human workers without safety fences. The operation mode Power and Force Limiting requires that cobots not exceed the biomechanical limits of ISO/TS 15066 to ensure protection against...

Reference-free calibration method for asynchronous rotation in robotic CT.

Journal of X-ray science and technology
BACKGROUND: Geometry calibration for robotic CT system is necessary for obtaining acceptable images under the asynchrony of two manipulators.

[Uncalibrated Positioning Method for Puncture Robots Based on Optical Navigation].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Robotic puncture system has been widely used in modern minimally invasive surgery, which usually uses hand-eye calibration to calculate the spatial relationship between the robot and the optical tracking system. However, the hand-eye calibration proc...

Three-dimensional force detection and decoupling of a fiber grating sensor for a humanoid prosthetic hand.

Optics express
A fiber Bragg grating (FBG) based three-dimensional (3D) force sensor for a humanoid prosthetic hand is designed, which can precisely detect 3D force and compensate for ambient temperature. FBG was encapsulated in polydimethylsiloxane (PDMS) for forc...