A Breakthrough in Producing Personalized Solutions for Rehabilitation and Physiotherapy Thanks to the Introduction of AI to Additive Manufacturing

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 2219 - 2219

Published: Feb. 19, 2025

The integration of artificial intelligence (AI) with additive manufacturing (AM) is driving breakthroughs in personalized rehabilitation and physical therapy solutions, enabling precise customization to individual patient needs. This article presents the current state knowledge perspectives using solutions for physiotherapy thanks introduction AI AM. Advanced algorithms analyze patient-specific data such as body scans, movement patterns, medical history design customized assistive devices, orthoses, prosthetics. synergy enables rapid prototyping production highly optimized improving comfort, functionality, therapeutic outcomes. Machine learning (ML) models further streamline process by anticipating biomechanical needs adapting designs based on feedback, providing iterative refinement. Cutting-edge techniques leverage generative topology optimization create lightweight yet durable structures that are ideally suited patient’s anatomy goals .AI-based AM also facilitates multi-material devices combine flexibility, strength, sensory capabilities, improved monitoring support during therapy. New include integrating smart sensors printed real-time collection feedback loops adaptive Additionally, these becoming increasingly accessible technology lowers costs improves, democratizing healthcare. Future advances could lead widespread use digital twins simulation before production. AI-based virtual reality (VR) augmented (AR) tools expected provide immersive, training environments along aids. Collaborative platforms federated can enable healthcare providers researchers securely share insights, accelerating innovation. However, challenges regulatory approval, security, ensuring equity access technologies must be addressed fully realize their potential. One major gaps lack large, diverse datasets train models, which limits ability span different demographics conditions. Integration AI–AM systems into should focus processing techniques.

Language: Английский

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Highly sensitive and omnidirectional anisotropic piezoelectric sensors based on oriented PbZr0.52Ti0.48O3 fibers with intrinsic flexibility

Journal of Alloys and Compounds, Journal Year: 2025, Volume and Issue: unknown, P. 179905 - 179905

Published: March 1, 2025

Language: Английский

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A Development and Comparison Study of PVDF Membranes Enriched by Metal–Organic Frameworks

Polymers, Journal Year: 2025, Volume and Issue: 17(9), P. 1140 - 1140

Published: April 22, 2025

This study is concerned with the research and development of nanofibrous hybrid materials functioning as membranes composed polyvinylidene fluoride (PVDF) polymer enriched metal–organic frameworks (MOFs) dopants for adsorption detection gases, dyes, heavy metals in wastewater. Several types nanofiber composites are fabricated by electrostatic spinning. The prepared samples their chemical, optical, material properties analyzed. Subsequently, preliminary investigation dye removal conducted. Accordingly, design these structures may contribute to addressing critical environmental technological challenges.

Language: Английский

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Enhanced Piezoelectric Performance of ZIF-8@PAN Nanofiber Membranes for Energy Harvesting

Polymer, Journal Year: 2025, Volume and Issue: unknown, P. 128521 - 128521

Published: May 1, 2025

Language: Английский

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Enhancing pipa tuning stability with piezoelectric materials: An adaptive system for real-time performance adjustment

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(5), P. e0323840 - e0323840

Published: May 15, 2025

Introduction The study explores the development and performance evaluation of a Neuro-Fuzzy Inference System (NFIS) for adaptive tuning pipa string instrument under varying environmental conditions. NFIS adjusts tension in real-time based on voltage, temperature, humidity sensor inputs by integrating piezoelectric sensors with IoT capabilities. primary objective is to maintain accuracy within ±0.1 Hz, even fluctuations, thus improving stability consistency musical performance. Methods A dataset 2,000 samples was collected, including voltage (0.1–5 V), temperature (10–40°C), (20–90% RH) values, along corresponding output adjustments. utilised Gaussian membership functions categorise into linguistic terms (e.g., “High Voltage,” “Medium Temperature”), comprehensive rule base 40 rules established tuning. Training conducted using gradient-descent backpropagation learning rate 0.01 L2 regularisation, validated through 5-fold cross-validation. Real-time data transmitted via an ESP32 microcontroller AWS Core database, user adjustments visualisation provided mobile application. Results highly well tuned mean pitch deviation only ±0.08 Hz at stable We have cross-validated model, it produced average MSE 0.012 across folds, which speaks robustness model. During 8-hour test period, our system achieved transmission latency 120 ms server 99.8% uptime, error correction mechanisms ensuring 98% integrity. compensated deviated less than V from baseline temperatures humidity, compensation minimised deviations original limits. Conclusion This NFIS-based Tuning keeps accurate during changes. In conjunction monitoring capabilities, this technology adds more responsiveness reliability, making efficient tool musicians perform consistently.

Language: Английский

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Diatomaceous Earth and Carbon Nanotubes Toughened Advanced Rubber Composite for Triboelectric Nanogenerator and Sensor Applications

Polymer Composites, Journal Year: 2025, Volume and Issue: unknown

Published: May 22, 2025

ABSTRACT This research proposes a composite‐type stretchable triboelectric nanogenerator combining diatomaceous earth (DE), conducting carbon nanotubes (CNT), and styrene‐butadiene rubber (SBR) matrix for small‐scale energy generation sensor applications. To enhance the mechanical harvesting efficiencies of composites, grape seed oil (GSO) was used as an in situ filler modifier. Mechanical assessments indicate that DE GSO, suitable quantities, can improve certain useful properties, such fracture strain, toughness, Young's modulus, compared to unfilled SBR compound. However, presence stronger reinforcing CNT significantly both electrical properties composites. Triboelectric energy‐generating behaviors composites suggest CNT‐based hybrid fillers efficiencies. At optimum concentration 40 phr (per 100 g rubber) DE, 10 2 composite, best toughness value (10.04 MJ/m 3 ) observed due improved filler‐rubber adhesion. The composite also showed robust efficiencies, with power efficiency, density, charge density values 0.6 nW/N, 6.25 mW/m , ~0.9 nC/N, 8.96 mC/m respectively, at 2% compressive strain. demonstrated better durability over 5000 cycles without any loss efficiency. tested sensing biomechanically stimulating patterns, writing on it, excellent similarity repetition. Additionally, simple pat sheet (6 × 5 0.1 cm generate high‐power 0.8 W/m .

Language: Английский

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Participation of Polymer Materials in the Structure of Piezoelectric Composites

Polymers, Journal Year: 2024, Volume and Issue: 16(24), P. 3603 - 3603

Published: Dec. 23, 2024

This review explores the integration of polymer materials into piezoelectric composite structures, focusing on their application in sensor technologies, and wearable electronics. Piezoelectric composites combining ceramic phases like BaTiO3, KNN, or PZT with polymers such as PVDF exhibit significant potential due to enhanced flexibility, processability, electrical performance. The synergy between high sensitivity ceramics mechanical flexibility enables development advanced for biomedical devices, energy conversion, smart infrastructure applications. discusses evolution lead-free ceramics, challenges improving polymer–ceramic interfaces, innovations 3D printing surface functionalization, which enhance charge transfer material durability. It also covers effects radiation these materials, particularly nuclear applications, strategies resistance. concludes that play a critical role advancing technologies by addressing environmental functional challenges, paving way future innovations.

Language: Английский

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Topic Editorial on Flexible Electronics

Micromachines, Journal Year: 2024, Volume and Issue: 15(11), P. 1350 - 1350

Published: Nov. 1, 2024

Fields such as the Internet of Things (IoT), smart healthcare, and intelligent manufacturing are at forefront technological advancement, involving extensive deployment numerous sophisticated electronic systems devices [...].

Language: Английский

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