Related Experiment Video
Updated: Feb 2, 2026
12:24
Mimicking the Function of Signaling Proteins: Toward Artificial Signal Transduction Therapy
Published on: September 29, 2016
7.4K
Artificial Neural Network for Laparoscopic Skills Classification Using Motion Signals from Apple Watch
Summary
Smartwatches can enhance surgical training by capturing motion data during laparoscopic skill practice. This objective feedback helps classify trainee expertise, improving clinical education and assessment.
Area of Science:
- Medical Education
- Surgical Training
- Wearable Technology
Background:
- Laparoscopic skill acquisition is limited by training opportunities and subjective feedback.
- Current assessment tools may lack sensitivity in detecting varying expertise levels.
Purpose of the Study:
- To investigate the use of smartwatches for objective assessment of laparoscopic surgical skills.
- To develop a model for classifying trainee expertise based on motion signals.
Main Methods:
- Apple Watches recorded motion signals (attitude, rotation rate, acceleration) during peg transfer tasks.
- Metrics were extracted, and significant attributes selected using Spearman's rank correlation.
- An artificial neural network classified trainees into low, intermediate, and high expertise levels.
Main Results:
- An average classification performance of F1=86.11% was achieved on a test subset.
- Motion-based metrics derived from smartwatches effectively differentiated expertise levels.
Conclusions:
- Smartwatches offer a viable technology to supplement surgical training and assessment.
- Objective, motion-based feedback can improve clinical education and provide reliable expertise evaluation.
Related Concept Videos
01:30Classification of Signals
1.4K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.4K
02:26Protein Networks
4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
02:18Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
01:22Force Classification
2.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.4K
01:30Classification of Neurotransmitters
5.3K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
5.3K
01:30Classification of Leukocytes
5.8K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
5.8K