Minimally invasive surgery (MIS) is a modern technique that allows surgeons to perform operations through small incisions (usually 5-15 mm). Although it has numerous advantages over older surgical techniques, MIS can be more difficult to perform. Some inherent drawbacks are:
- Limited motion due to straight laparoscopic instruments and fixation enforced by the small incision in the abdominal wall
- Impaired vision, due the two-dimensional imaging
- Usage of long instruments amplifies the effects of surgeon’s tremor
- Poor ergonomics imposed to the surgeon
- Loss of haptic feedback, which is distorted by friction forces on the instrument and reactionary forces from the abdominal wall.
Minimally Invasive Robotic Surgery (MIRS) offers solutions to either minimize or eliminate many of the pitfalls associated with traditional laparoscopic surgery. MIRS platforms such as Intuitive Surgical’s da Vinci, approved by the U.S. Food and Drug Administration in 2000, represent a historical milestone of surgical treatments. The ability to leverage laparoscopic surgery advantages while augmenting surgeons’ dexterity and visualization and eliminating the ergonomic discomfort of long surgeries, makes MIRS undoubtedly an essential technology for the patient, surgeons and hospitals.
However, despite all improvements brought by currently commercially available MIRS, haptic feedback is still a major limitation reported by robot-assisted surgeons. Because the interventionist no longer manipulates the instrument directly, the natural haptic feedback is eliminated. Haptics is a conjunction of both kinesthetic (form and shape of muscles, tissues and joints) as well as tactile (cutaneous texture and fine detail) perception and is a combination of many physical variables such as force, distributed pressure, temperature and vibration.
Direct benefits of sensing interaction forces at the surgical end-effector are:
- Improved organic tissue characterization and manipulation
- Assessment of anatomical structures
- Reduction of sutures breakage
- Overall increase on the feeling of assisted robotics surgery.
Haptic feedback also plays a fundamental role in shortening the learning curve for young surgeons in MIRS training. A tertiary benefit of accurate real-time direct force measurement is that the data collected from these sensors can be utilized to produce accurate tissue and organ models for surgical simulators used in MIS training. Futek Advanced Sensor Technology, an Irvine, Calif.-based sensor manufacturer, shared these tips on how to design and manufacture haptic sensors for surgical robotics platforms.
Technical and economic challenges of haptic feedback
Adding to the inherent complexity of measuring haptics, engineers and neuroscientists also face important issues that require consideration prior to the sensor design and manufacturing stages. The location of the sensing element, which significantly influences the measurement consistency, presents MIRS designers with a dilemma: should they place the sensor outside the abdomen wall near the actuation mechanism driving the end-effector (a.k.a. Indirect Force Sensing), or inside the patient at the instrument tip, embedded on the end-effector (a.k.a. Direct Force Sensing).
The pros and cons of these two approaches are associated with measurement accuracy, size restrictions and sterilization and biocompatibility requirements. Table 1 compares these two force measurement methods.
In the MIRS applications, where very delicate instrument-tissue interaction forces need to give precise feedback to the surgeon, measurement accuracy is sine qua non, which makes intra-abdominal direct sensing the ideal option.
However, this novel approach not only brings the design and manufacturing challenges described in Table 1 but also demands higher reusability. Commercially available MIRS systems that are modular in design allow the laparoscopic instrument to be reutilized approximately 12 to 20 times. Adding the sensing element near to the end-effector invariably increases the cost of the instrument and demands further consideration during the design stage in order to enhance sensor reusability.
Appropriate electronic components, strain measurement method and electrical connections have to withstand additional autoclavable cycles as well as survive a high PH washing. Coping with these special design requirements invariably increases the unitary cost per sensor. However, extended lifespan and number of cycles consequently reduces the cost per cycle and brings financial affordability to direct measurement method.
Hermeticity of high precision sub-miniature load sensing elements is equally challenging to intra-abdominal direct force measurement. The conventional approach to sealing electronic components is the adoption of conformal coatings, which are extensively used in submersible devices. As much as this solution provides protection in low-pressure water submersion environments for consumer electronics, coating protection is not sufficiently airtight and is not suitable for high-reliability medical, reusable and sterilizable solutions.
Under extreme process controls, conformal coatings have shown to be marginal and provide upwards of 20 to 30 autoclave cycles. The autoclave sterilization process presents a harsher physicochemical environment using high pressure and high temperature saturated steam. Similar to helium leak detection technology, saturated steam particles are much smaller in size compared to water particles and are capable of penetrating and degrading the coating over time causing the device to fail in a hardly predictable manner.
An alternative and conventional approach to achieving hermeticity is to weld on a header interface to the sensor. Again, welding faces obstacles in miniaturized sensors due to its size constraints. All in all, a novel and robust approach is a monolithic sensor using custom formulated, Ct matched, chemically neutral, high temperature fused isolator technology used to feed electrical conductors through the walls of the hermetically sealed active sensing element. The fused isolator technology has shown reliability in the hundreds to thousands of autoclave cycles.
The Robot Report launched the Healthcare Robotics Engineering Forum (Dec. 9-10 in Santa Clara, Calif.). The conference and expo focuses on improving the design, development and manufacture of next-generation healthcare robots. The Healthcare Robotics Engineering Forum is currently accepting speaking proposals through July 26, 2019. To submit a proposal, fill out this form.
Other design considerations for haptic feedback
As aforementioned, miniaturization, biocompatibility, autoclavability and high reusability are some of the unique characteristics imposed to a haptic sensor by the surgical environment. In addition, it is imperative that designers also meet requirements that are inherent to any high-performance force measurement device.
Extraneous loads (or crosstalk) compensation, provides optimal resistance to off-axis loads to assure maximum operating life and minimize reading errors. Force and torque sensors are engineered to capture forces along the Cartesian axes, typically X, Y and Z. From these three orthogonal axes, one to six measurement channels derives three force channels (Fx, Fy and Fz) and three torque or moment channels (Mx, My and Mz). Theoretically, a load applied along one of the axes should not produce a measurement in any of the other channels, but this is not always the case. For a majority of force sensors, this undesired cross-channel interference will be between 1 and 5% and, considering that one channel can capture extraneous loads from five other channels, the total crosstalk could be as high as 5 to 25%.
In robotic surgery, the sensor must be designed to negate the extraneous or cross-talk loads, which include frictions between the end-effector instrument and trocar, reactionary forces from the abdominal wall and gravitational effect of mass along the instrument axis. In some occasions, miniaturized sensors are very limited in space and have to compensate side loads using alternate methods such as electronic or algorithmic compensation.
Calibration of direct inline force sensor imposes restrictions as well. The calibration fixtures are optimized with SR buttons to direct load precisely through the sensor of the part. If the calibration assembly is not equipped with such arrangements, the final calibration might be affected by parallel load paths.
Thermal effect is also a major challenge in strain measurement. Temperature variations cause material expansion, gage factor coefficient variation and other undesirable effects on the measurement result. For this reason, temperature compensation is paramount to ensure accuracy and long-term stability even when exposed to severe ambient temperature oscillations.
The measures to counteract temperature effects on the readings are:
- The use of high-quality, custom and self-compensated strain gages compatible with the thermal expansion coefficient of the sensing element material
- Use of half or full Wheatstone bridge circuit configuration installed in both load directions (tension and compression) to correct for temperature drift
- Fully internally temperature compensation of zero balance and output range without the necessity of external conditioning circuitry.
In some special cases, the use of custom strain gages with reduced solder connections helps reduce temperature impacts from solder joints. Usually, a regular force sensor with four individual strain gages has upwards of 16 solder joints, while custom strain elements can reduce this down to less than six. This design consideration improves reliability as the solder joint, as an opportunity for failure, is significantly reduced.
During the design phase, it is also imperative to consider such sensors to meet high reliability along with high-volume manufacturability, taking into consideration the equipment and processes that will be required should a device be designated for high-volume manufacturing. The automated, high-volume processes could be slightly or significantly different than the benchtop or prototype equipment used for producing lower volumes. The scalability must maintain focus on reducing failure points during the manufacturing process, along with failure points that could occur on the field.
Testing for medical applications is more related to the ability of a measurement device that can withstand a high number of cycles rather than resist to strenuous structural stress. In particular for medical sensors, the overload and fatigue testing must be performed in conjunction with the sterilization testing in an intercalated process with several cycles of fatigue and sterilization testing. The ability to survive hundreds of overload cycles while maintaining hermeticity translates into a failure-free, high- reliability sensor with lower MTBF and more competitive total cost of ownership.
Product development challenges
Although understanding the inherent design challenges of the haptic autoclavable sensor is imperative, the sensor manufacturer must be equipped with a talented multidisciplinary engineering team, in-house manufacturing capabilities supported by fully developed quality processes and product/project management proficiency to handle the complex, resource-limited, and fast-paced new product development environment.
A multidisciplinary approach will result in a sensor element that meets the specifications in terms of nonlinearity, hysteresis, repeatability and cross-talk, as well as an electronic instrument that delivers analog and digital output, high sampling rate and bandwidth, high noise-free resolution and low power consumption, both equally necessary for a reliable turnkey haptics measurement solution.
Strategic control of all manufacturing processes (machining, lamination, wiring, calibration), allows manufacturers to engineer sensors with a design for manufacturability (DFM) mentality. This strategic control of manufacturing boils down to methodically selecting the bill of material, defining the testing plans, complying with standards and protocols and ultimately strategizing the manufacturing phase based on economic constraints.
Filed Under: The Robot Report, Robotics • robotic grippers • end effectors, Sensors (pressure)