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Enregistrement W2350753849 · doi:10.1115/1.4033221

Development of a Force Sensor Prototype for Medical Devices1

2016· article· en· W2350753849 sur OpenAlexaffabout
Yu Hui Feng, Goldie Nejat

Notice bibliographique

RevueJournal of Medical Devices · 2016
Typearticle
Langueen
DomaineEngineering
ThématiqueAdvanced Sensor and Energy Harvesting Materials
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésStrain gaugeStiffnessPiezoelectricityComputer scienceTactile sensorLoad cellAssistive deviceContact forceSimulationHaptic technologyAcousticsEngineeringRobotElectrical engineeringStructural engineeringArtificial intelligencePhysical medicine and rehabilitationPhysicsMedicine

Résumé

récupéré en direct d'OpenAlex

The effectiveness of medical and assistive devices can be increased through the integration of sensory-based intelligence capabilities. Force sensors can be used within robotic grippers to directly provide force feedback during surgery [1]. They can also be embedded in prosthetics, clothes, or furniture to support the everyday tasks of patients. For example, they can be used to improve/regain gait and mobility by being placed inside the shoe of a person who is suffering from muscle and nerve damage [2] or into a treatment couch to measure forces applied during posteroanterior mobilization to the lumbar spine [3]. In addition, the force sensors can be implemented in prosthetic knees as sensory feedback [4] in order to assist transfemoral amputees to walk and run more naturally. Various types of sensors including load cells [3], strain gauges [1], and piezoelectric force sensors [4] have been utilized. In general, the load cells are typically bulky in size and the strain gauges need significant deformation in order to be able to measure forces. On the other hand, the piezoelectric force sensors are able to provide high-resolution force measurements within a compact size [5]. In addition, the high stiffness of their sensing elements results in high natural frequencies, and thus provides a wide operational frequency bandwidth to measure dynamic force [5]. In this paper, we present the prototype development and calibration of a three-axis piezoelectric force sensor. Due to its novel features, the sensor can be used in various medical and assistive device applications.The piezoelectric force sensor we have developed is presented in Fig. 1. The sensor uniquely utilizes three groups of two piezoelectric sensing elements made of BM 800 piezoelectric ceramics [6]. The two sensing elements in each group have the same polarization direction and are utilized to measure forces in the normal, and two shear directions, Fig. 2. The sensing groups are compressed between a top and a bottom plate with four preloading screws. The overall size of the sensor prototype is 24.25 mm × 24.25 mm × 9.25 mm. Copper shims with tabs, Fig. 2, are used to connect the sensing elements to the sensor amplification system.Figure 3 provides an exploded view of the sensor prototype. The sensor groups are stacked on the bottom plate and compressed with the top plate with the four preloading screws. A side housing is fixed onto the bottom plate for the protection of the sensing elements. All the sensor components are made of stainless steel A2.The amplification system of the force sensor consists of the amplification circuit for each force measurement direction and the data acquisition device. The amplification circuit includes a preamplifier (Amptek A250) that converts the charge signal received from the elements to a voltage signal and a postamplifier (Amptek A275) that further amplifies the input signal while preserving the linear information between the input and output voltage. The design of the amplification circuit is shown in Fig. 4.To verify the performance of the force sensor prototype in terms of its resolution, sensing range, and operational frequency bandwidth, dynamic calibration experiments were conducted. A piezoelectric actuator (NEC/TOKIN AE0203D04F) was used to provide the input force signal. An oscillating driving voltage was utilized for the actuator. The frequency of the input force was determined by the frequency of the driving voltage, where the amplitude of the input force is linearly proportional to that of the driving voltage. To control the driving voltage, a function generator (WAVETEK 164) was utilized. A single-axis calibration sensor (Kistler 9712B5) was used to verify the relationship between the amplitude of the driving voltage and the amplitude of the force output from the actuator during a precalibration stage.Dynamic calibration of each axis was performed using a probe exerting forces onto the top plate of the force sensor prototype. The sensor prototype was secured to a reconfigurable fixture that aligned the corresponding axis of the sensor to the direction of the applied force. Figure 5 provides an overview of the prototype sensor calibration setup for all three directions.The calibration experiments consisted of applying forces at frequencies ranging from 1 kHz to 8 kHz with an increment of 1 kHz. Then, the force measurements were compared to the forces determined during the precalibration stage. The root-mean-square error (RMSE) was determined as the minimum measurable force for each frequency level. The largest RMSE throughout the frequency range was then defined as the resolution of the sensor for each axis. This was determined to be 3 mN for all three axes. In addition, the sensing range was determined to be up to 10 N. Figure 6 illustrates an example of the calibration results for the three axes with an input of 10 N at 8 kHz.The three-axis force sensor prototype was calibrated to have a high operational frequency bandwidth for dynamic force measurements of up to 8 kHz, a high resolution of 3 mN, and a sensing range of up to 10 N. The combination of the high-frequency bandwidth and high resolution are unique features of our force sensor as it provides both these advantages when compared to other types of piezoelectric force sensors used in medical applications (e.g., Refs. [4] and [7]). By scaling the size of the sensor, it can be used for different frequency bandwidth and force sensing requirements. Our future work consists of investigating cross-axis sensitivity and the physical integration of our force sensor into the end-effector of a surgical robot operating at a high control frequency to provide force feedback during surgical operations.This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canada Research Chairs (CRC) Program.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,791
Score d'incertitude au seuil0,373

Scores Codex et Gemma par catégorie

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

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 Opus0,020
Tête enseignante GPT0,283
Écart entre enseignants0,263 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations1
Publié2016
Routes d'admission2
Résumé présentoui

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