User-Tailored Orthosis Design for 3D Printing with PLACTIVE: A Quick Methodology

Chaparro-Rico, Betsy D. M.; Martinello, Katiuscia; Fucile, Sergio; Cafolla, Daniele

doi:10.3390/cryst11050561

Cited by 9 publications

(6 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the results show a significant reconstruction error. Chaparro-Rico et al proposed a procedure for customized orthosis design using a 3D scan [12]. The 3D-scanned point cloud is reconstructed using MATLAB software (R2013).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Customized Orthosis Design Based on Surface Reconstruction from 3D-Scanned Points

Alrasheedi,

Ben Makhlouf,

Louhichi

et al. 2024

Prosthesis

View full text Add to dashboard Cite

Limb disability is a frequent healthcare problem, especially for patients in primary care. Orthotic treatment has become the most common practice for either rehabilitation or permanent assistance, due to the emergence of 3D scanning and 3D printing technologies. A CAD model rebuilt from captured data is a key step in the rapid prototyping process of customized orthoses. An accurate and robust surface reconstruction technique remains a research challenge, aiming for a well-fitting design and the patient’s comfort. Thus, this paper presents of a new 3D curve-based reconstruction algorithm to obtain a precise 3D surface of an orthotic device from a scanned body part. Numerical experiments of two orthosis design case studies are shown to evaluate the reliability and accuracy of the proposed approach compared to other reconstruction methods.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…The above processes for user-tailored orthosis design mainly consist of 3D scans, 3D surface reconstruction, and 3D printing [7,[10][11][12]. However, the surface reconstruction methods showed poor accuracy or were investigated without any formal guarantee of the correctness of the reconstruction.…”

Section: Literature Reviewmentioning

confidence: 99%

Customized Orthosis Design Based on Surface Reconstruction from 3D-Scanned Points

Alrasheedi,

Ben Makhlouf,

Louhichi

et al. 2024

Prosthesis

View full text Add to dashboard Cite

show abstract

“…Highly sophisticated and complex methods of objectively capturing surface anatomy, images of the underlying anatomical structures and potentially, pressure gradients ( 47 ) and tissue properties, will be combined with data bases of anthropometric and biomechanical measurements to which machine learning (M/L) will be applied and used to generate custom designed sockets ( 48 , 49 ). 3D printing will allow integration of added value elements into final product, for example through the use of copper infused filaments with antimicrobial properties ( 50 ). The personalization of devices will be further informed by 3D motion data collected not only by researchers in prosthetics but also those from the physical and exercise therapy fields, such as that being used in the development of automated active assist devices to support rehabilitation ( 51 ).…”

Section: Industry 40: Physical Digital and Biological Convergencementioning

confidence: 99%

Limb Prostheses: Industry 1.0 to 4.0: Perspectives on Technological Advances in Prosthetic Care

Raschke

2022

Front. Rehabilit. Sci.

View full text Add to dashboard Cite

Technological advances from Industry 1.0 to 4.0, have exercised an increasing influence on prosthetic technology and practices. This paper explores the historical development of the sector within the greater context of industrial revolution. Over the course of the first and up the midpoint of the second industrial revolutions, Industry 1.0 and 2.0, the production and provision of prosthetic devices was an ad hoc process performed by a range of craftspeople. Historical events and technological innovation in the mid-part of Industry 2.0 created an inflection point resulting in the emergence of prosthetists who concentrated solely on hand crafting and fitting artificial limbs as a professional specialty. The third industrial revolution, Industry 3.0, began transforming prosthetic devices themselves. Static or body powered devices began to incorporate digital technology and myoelectric control options and hand carved wood sockets transitioned to laminated designs. Industry 4.0 continued digital advancements and augmenting them with data bases which to which machine learning (M/L) could be applied. This made it possible to use modeling software to better design various elements of prosthetic componentry in conjunction with new materials, additive manufacturing processes and mass customization capabilities. Digitization also began supporting clinical practices, allowing the development of clinical evaluation tools which were becoming a necessity as those paying for devices began requiring objective evidence that the prosthetic technology being paid for was clinically and functionally appropriate and cost effective. Two additional disruptive dynamics emerged. The first was the use of social media tools, allowing amputees to connect directly with engineers and tech developers and become participants in the prosthetic design process. The second was innovation in medical treatments, from diabetes treatments having the potential to reduce the number of lower limb amputations to Osseointegration techniques, which allow for the direct attachment of a prosthesis to a bone anchored implant. Both have the potential to impact prosthetic clinical and business models. Questions remains as to how current prosthetic clinical practitioners will respond and adapt as Industry 4.0 as it continues to shape the sector.

show abstract

“…The heat dispersion in the 3D-printed measurement cells was studied with computational fluid dynamics with ANSYS software. The influence of key operating characteristics on the sensor performance was evaluated by measuring solutions of amocillin, a commonly used beta-lactam antibiotic [ 23 ], which has been linked to the accelerated development of antimicrobial resistance [ 24 ]. The new measurement design led to a twofold reduction in measurement time and a decrease in sample volume to 100 μL.…”

Section: Introductionmentioning

confidence: 99%

Influence of design and material characteristics on 3D printed flow-cells for heat transfer-based analytical devices

et al. 2022

View full text Add to dashboard Cite

Redesigning 3D-printed flow cells is reported used for heat transfer based detection of biomolecules from a flow-through system to an addition-type measurement cell. The aim of this study is to assess the performance of this new measurement design and critically analyse the influence of material properties and 3D printing approach on thermal analysis. Particular attention is paid to reduce the time to stabilisation, the sample volume in order to make the technique suitable for clinical applications, and improving the sensitivity of the platform by decreasing the noise and interference of air bubbles. The three different approaches that were studied included a filament polylactic acid cell using only fused filament fabrication (FFF), a resin cell printed using stereolitography (SLA), and finally a design made of copper, which was manufactured by combining metal injection moulding (MIM) with fused filament fabrication (FFF). Computational fluid dynamic (CFD) modelling was undertaken using ANSYS Fluent V18.1 to provide insight into the flow of heat within the measurement cell, facilitating optimisation of the system and theoretical response speed.It was shown that the measurement cells using SLA had the lowest noise (~ 0.6%) and shortest measurement time (15 min), whereas measurement cells produced using other approaches had lower specificity or suffered from voiding issues. Finally, we assessed the potential of these new designs for detection of biomolecules and amoxicillin, a commonly used beta lactam antibiotic, to demonstrate the proof of concept. It can be concluded that the resin addition-type measurement cells produced with SLA are an interesting affordable alternative, which were able to detect amoxicillin with high sensitivity and have great promise for clinical applications due to the disposable nature of the measurement cells in addition to small sample volumes. Graphical abstract

show abstract

User-Tailored Orthosis Design for 3D Printing with PLACTIVE: A Quick Methodology

Cited by 9 publications

References 18 publications

Customized Orthosis Design Based on Surface Reconstruction from 3D-Scanned Points

Customized Orthosis Design Based on Surface Reconstruction from 3D-Scanned Points

Limb Prostheses: Industry 1.0 to 4.0: Perspectives on Technological Advances in Prosthetic Care

Influence of design and material characteristics on 3D printed flow-cells for heat transfer-based analytical devices

Contact Info

Product

Resources

About