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Enregistrement W7164930007 · doi:10.5281/zenodo.20716291

Future Trends in Flexible and Wearable Sensor Technology

2021· article· en· W7164930007 sur OpenAlexaff
Sudha Krishnappa Rampure

Notice bibliographique

RevueOpen MIND · 2021
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced Sensor and Energy Harvesting Materials
Établissements canadiensImpact
Organismes subventionnairesnon disponible
Mots-clésWearable computerWearable technologyStretchable electronicsElectronicsMicroelectronicsInterface (matter)Flexible electronics

Résumé

récupéré en direct d'OpenAlex

Abstract The past decade has marked a watershed moment in flexible and wearable sensor technology, characterized by a fundamental departure from rigid, brittle silicon-based electronics toward soft, conformable, and bio-integrated architectures. This paradigm shift addresses the inherent mechanical mismatch between traditional planar microelectronics and the curvilinear, dynamic morphology of human skin. By harnessing the unique properties of advanced materials—ranging from highly conductive carbon-based nanomaterials like graphene and carbon nanotubes to self-healing liquid metals and intrinsically stretchable conductive polymers—researchers have successfully pioneered a new generation of sensors. These devices are uniquely capable of high-fidelity, continuous, and real-time monitoring of diverse inputs, including electrophysiological signals, vital biochemical markers in sweat, and subtle mechanical stimuli. This article provides a critical review of the state-of-the-art in flexible electronics as it stood in 2020, meticulously evaluating pivotal advancements in material synthesis, innovative device architecture, and the complex integration with biological systems. Furthermore, we analyze the shifting trajectory of the field toward the realization of autonomous, multi-functional, and high-sensitivity wearable platforms that can seamlessly interface with the body. While the progress has been substantial, this review also critically assesses the persistent, multidisciplinary challenges that continue to impede broad clinical adoption. Issues such as the necessity for efficient on-device power management, the complexity of real-time signal processing in a decentralized format, and the critical requirement for long-term biocompatibility and stable adhesion to the skin are discussed in detail. By synthesizing these developments, this article offers a comprehensive outlook on the technological trends and material design principles that have defined the maturation of wearable sensing technology through the end of 2020, setting the stage for future clinical integration. Keywords: Flexible electronics, Wearable sensors, Nanomaterials, Bio-monitoring, Human-machine interfaces, Epidermal electronics 1. Introduction The integration of flexible and wearable sensor technology into daily life has been driven by the need for personalized health monitoring and the desire for seamless human-machine interfaces. Unlike conventional electronics, which are inherently rigid and brittle, flexible sensors are designed to maintain functional integrity under various degrees of mechanical deformation, such as bending, stretching, and twisting. As of 2020, this field represents a convergence of materials science, mechanical engineering, and microelectronics. The fundamental goal is to achieve an electronic skin that can mimic the sensory functions of human skin while providing persistent, non-invasive data acquisition. 2. Material Innovations The physical limitations of silicon-based electronics have prompted researchers to explore soft materials that exhibit high electrical conductivity and mechanical elasticity. 2.1 Conductive Nanomaterials Carbon-based nanostructures, including carbon nanotubes and graphene, have been central to the development of flexible sensors. Their exceptional carrier mobility and high aspect ratio allow for the formation of percolating conductive networks within polymer matrices. The resistance response is defined by the sensitivity of the material to mechanical strain, often referred to as the gauge factor, which relates the change in electrical resistance to the degree of applied mechanical deformation. By optimizing the distribution and morphology of these nanomaterials, researchers have achieved ultra-high sensitivity for pressure and strain detection. The mechanism by which these sensors operate relies heavily on the concept of a percolation threshold. This is the critical concentration at which the nanomaterials form continuous, interconnected conductive pathways throughout the non-conductive polymer matrix. Below this threshold, the material remains insulating; however, as the concentration of conductive filler increases beyond this point, the material transitions to an electrically conductive state. The specific geometry of the nanomaterials plays a significant role in this transition. One-dimensional structures, such as carbon nanotubes and metallic nanowires, are particularly effective because their long, wire-like shapes allow them to establish electrical connections across larger distances within the matrix, thereby requiring a lower overall loading to achieve conductivity. Conversely, two-dimensional materials like graphene offer excellent planar conductivity and large surface areas, which are advantageous for sensing applications that require high transparency or exceptional sensitivity to surface-level chemical interactions. A primary challenge in this field is the tendency of these nanomaterials to aggregate or bundle together due to strong inter-particle forces. Such aggregation can lead to non-uniform sensor performance and decreased mechanical stability. To overcome this, researchers employ various surface functionalization techniques, which involve modifying the outer surface of the nanomaterials to enhance their compatibility with the polymer matrix, ensuring a uniform dispersion and robust interfacial bonding. Furthermore, there is a constant design trade-off between electrical conductivity and mechanical elasticity. Increasing the filler concentration enhances the conductive pathways, which is desirable for signal clarity, but it often increases the stiffness of the composite, thereby reducing its stretchability and rendering it less conformable to the skin. To balance these competing requirements, the field has increasingly adopted hierarchical structural designs, where the conductive networks are structured in specific ways—such as micro-cracks, wavy architectures, or porous sponges—that allow the device to deform and stretch without disrupting the electrical continuity of the underlying network. Beyond filler-based composites, the field has also explored the utility of metallic nanowires, such as silver nanowires, which offer high optical transparency and electrical conductivity. These materials can form complex, web-like structures that remain conductive even when stretched significantly. Furthermore, the use of liquid metals, such as gallium-based alloys, has revolutionized the potential for extreme stretchability. These materials remain in a liquid state at room temperature, allowing them to flow and reshape as the device undergoes deformation, maintaining electrical continuity regardless of the mechanical strain applied. 2.2 Elastomeric Substrates Materials such as polydimethylsiloxane, thermoplastic polyurethane, and Ecoflex have become standard for flexible substrates. These elastomers provide the necessary mechanical compliance to adapt to the skin's curvature, ensuring reliable signal contact without causing discomfort or skin irritation. Beyond simple compliance, the selection of these substrates is guided by the necessity for mechanical impedance matching. Human skin is a soft, viscoelastic tissue. While polydimethylsiloxane is widely favored for its optical transparency and tunable cross-linking density, researchers have increasingly looked toward thermoplastic polyurethane for applications requiring higher durability and potential for high-throughput manufacturing. Meanwhile, highly compliant materials like Ecoflex are utilized when the sensor must accommodate extreme skin stretching without experiencing device delamination or signal noise. The mechanics of the skin-device interface are particularly complex, as the difference in how the substrate and the human epidermis react to stretching leads to interfacial shear stress during movement. If the substrate is too stiff, it constrains the natural movement of the skin, resulting in physical discomfort; conversely, a substrate that is too soft may fail to maintain the sensor's electronic components in a stable configuration. To mitigate these issues, researchers have sought to manage these stresses by engineering thin, ultra-conformable designs. The bending stiffness of a thin film is governed by its material properties and its thickness. Consequently, reducing the device thickness by orders of magnitude—often to the micron scale—is significantly more effective at achieving low bending stiffness than merely reducing the modulus of the material. This ultra-thin approach allows the device to float on the skin's surface, effectively decoupling the substrate's mechanical response from the underlying skin's dynamic movement, thereby minimizing mechanical sensation and preventing localized skin irritation during repetitive motions. Expanding upon this, the strategy of neutral mechanical plane design has become a cornerstone in advanced wearable architecture. By positioning the fragile, rigid electronic components at the vertical center of the device stack—sandwiched between elastomeric layers—the system effectively neutralizes the strain experienced by the circuits during bending. Even when the device is subjected to significant curvature, the active components reside in a region where the tensile and compressive stresses cancel each other out, preserving device functionality. This structural engineering is frequently paired with geometric innovations, such as serpentine or wavy interconnects. These architectures act as mechanical springs, allowing the interconnects to accommodate high degrees of global stretching by undergoing localized rotation and extension. By integrating thin-film mechanics and serpentine geometry, engineers have successfully created epidermal electronics that are essentially invisible to the user's perception. Beyond structural mechanics, the physiological interaction between the sensor an

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0020,005
Science ouverte0,0010,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,270
Écart entre enseignants0,249 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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