Sensor-Guided Laryngoscope Blade Placement for Novice Intubation
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Solution Overview
Problem
Intubation by novice medical professionals outside the operating room is associated with high failure rates due to difficulty in accurately guiding the laryngoscope blade into the vallecula, leading to potential complications such as hypoxia, hypotension, and death.
Innovation Solution
A medical apparatus equipped with force sensors on the laryngoscope blade that provides real-time feedback to users by comparing insertion force profiles with pre-stored expert data, guiding correct placement into the vallecula.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a curved laryngoscopic blade (Macintosh blade) is used to lift the epiglottis indirectly, then the epiglottis can be elevated to visualize the vocal cords, but the blade placement precision is difficult to control and may press on the base of the vallecula forcing the epiglottis down, obscuring the view of the glottis
Solution Approach 1:
The patent applies feedback by using force sensors on the laryngoscope blade to provide real-time force profile data during insertion. The system compares the measured force profile against reference profiles for correct (vallecula) and incorrect (trachea/esophagus) placements, providing immediate feedback to guide the operator to the correct position. This resolves the contradiction by enabling precise blade placement through sensory feedback while maintaining ease of operation through automated guidance.
Solution Approach 2:
The patent replaces the purely mechanical skill-based blade placement with a sensor-based detection system. Instead of relying on the operator's tactile expertise and mechanical judgment, the system uses force sensors to objectively measure insertion forces and automatically classify placement correctness. This substitution transforms the mechanical art of intubation into a measurable, guided process, improving precision without increasing operational difficulty.
2Ease of operation
If a straight laryngoscopic blade (Miller blade) is used to elevate the tongue and remove it from the field, then the tongue is successfully repositioned, but there is a greater potential to damage the epiglottis
Solution Approach 1:
The force sensors provide real-time feedback on the forces applied during blade insertion and tongue elevation. The system monitors the force profile to ensure the blade is applying appropriate forces to elevate the tongue while avoiding excessive forces that could damage the epiglottis. This feedback mechanism allows effective tongue repositioning while minimizing harmful effects through automated force monitoring and guidance.
Solution Approach 2:
The system uses partial action by providing guided feedback only for the critical phases of blade insertion and initial tongue elevation, rather than controlling the entire intubation process. This allows the operator to perform necessary actions (tongue elevation, tube insertion) while receiving targeted feedback to avoid excessive forces on the epiglottis during the most critical moments.
3Adaptability or versatility
If novice intubators perform intubation outside the operating room, then accessibility to intubation is improved, but the failure rate increases significantly to as high as 49%
Solution Approach 1:
The force profile feedback system provides novice intubators with real-time guidance comparable to expert-level tactile experience. By comparing the measured force profile against reference profiles from expert intubators, the system enables novices to achieve reliable blade placement in diverse settings (emergency department, ICU, field) without requiring years of training. This feedback mechanism bridges the experience gap, maintaining high success rates across different intubation settings.
Solution Approach 2:
The system acts as an intermediary between novice operators and the complex tactile skills of expert intubation. Rather than requiring novices to directly develop expert-level tactile discrimination, the force sensors and classification algorithm serve as an intermediary that translates raw force data into actionable guidance, enabling reliable intubation performance in non-operating room settings.
4Reliability
If force sensors are added to the laryngoscope blade to provide real-time feedback, then intubation success rate improves to 95% first-pass success, but the device complexity increases
Solution Approach 1:
The force sensors and processing system are designed to be universally applicable across different laryngoscope blade types and intubation settings. The same sensor array and classification algorithm work for both Macintosh and Miller blades, and for intubation in operating rooms, emergency departments, and field settings. This multi-functionality justifies the added complexity by providing a single solution that improves reliability across diverse applications.
Solution Approach 2:
The system performs self-service by automatically classifying blade placement correctness and providing feedback without requiring external monitoring or interpretation. The force sensors, processing unit, and classification algorithm work together as an integrated self-guiding system, reducing the need for additional personnel or equipment while achieving high success rates.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces intubation failure rates and time to success for novice intubators, achieving a 95% first-pass success rate and significantly decreasing the number of attempts required.
Implementation Method 1
one or more force sensors disposed on an exterior surface of the blade, the one or more force sensors providing an insertion force profile representing the force exerted by the internal passage on the sensors during insertion of the blade in the internal passage
Data Source
AI summary
A medical apparatus for insertion into an internal passage of a subject is provided having a body portion defining an exterior surface; one or more sensors disposed on the exterior surface of the body portion, the one or more sensors providing an insertion force profile representing the force exerted by the internal passage on the sensors during insertion of the body portion; and a processor and non-volatile storage associated therewith, the processor configured to execute software to compare the insertion force profile provided by the sensors with two or more training force profiles stored on the storage, and classify the insertion force profile provided by the sensors as corresponding to at least one of the training force profiles.