scholarly journals Pressure Sensor System for Customized Scoliosis Braces

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1153
Author(s):  
Franz Konstantin Fuss ◽  
Asliza Ahmad ◽  
Adin Ming Tan ◽  
Rizal Razman ◽  
Yehuda Weizman
Keyword(s):  
Pressure Sensor ◽  
Testing Machine ◽  
Force Plate ◽  
Cost Effective ◽  
Mobile Systems ◽  
Sensor System ◽  
Closed Cell ◽  
Hard Shell ◽  
Energy Absorbers ◽  
Material Testing Machine

Hard-shell thoracolumbar sacral orthoses (TLSOs) are used for treating idiopathic scoliosis, a deformation of the spine with a sideways curvature. The pressure required inside the TLSO for ideal corrective results remains unclear. Retrofitting TLSOs with commercially available pressure measurement systems is expensive and can only be performed in a laboratory. The aim of this study was to develop a cost-effective but accurate pressure sensor system for TLSOs. The sensor was built from a piezoresistive polymer, placed between two closed-cell foam liners, and evaluated with a material testing machine. Because foams are energy absorbers, the pressure-conductance curve was affected by hysteresis. The sensor was calibrated on a force plate with the transitions from loading to unloading used to establish the calibration curve. The root mean square error was 12% on average within the required pressure range of 0.01–0.13 MPa. The sensor reacted to the changing pressure during breathing and different activities when tested underneath a chest belt at different tensions. The peak pressure reached 0.135 MPa. The sensor was further tested inside the scoliosis brace during different activities. The measured pressure was 0.014–0.124 MPa. The results from this study enable cheaper and mobile systems to be used for clinical studies on the comfort and pressure of braces during daily activities.

A Real Time Vehicle Collision Sensor and Reporting System Using Load Sensor, GSM and GPS Technology

2013 ◽  
Vol 718-720 ◽  
pp. 1740-1745
Author(s):  
Tulu Muluneh Mekonnen ◽  
De Ning Jiang ◽  
Yong Xin Feng
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Reporting System ◽  
Electronic Device ◽  
Text Message ◽  
Sensor System ◽  
Gps Receiver ◽  
Gps Technology ◽  
Vehicle Collision ◽  
Load Sensor

Vehicle collision sensor system and reporting accident to police is an electronic device installed in a vehicle to inform police man in case of accident to track the vehicles location. This system works using pressure sensor, GPS and GSM technology. These technology embedded together to sense the vehicle collision and indicate the position of the vehicle or locate the place of accident in order to solve the problem immediately (as soon as possible).For doing so AT89S52 microcontroller is interfaced serially to a GSM modem, GPS receiver, and pressure sensor. A GSM modem is used to send the position (Latitude and Longitude) of the vehicle, the plate of the vehicle and the SMS text from the accident place. The GPS modem will continuously give the data (longitude and latitude) and Load sensor senses the collision of the vehicle against obstacles and input to microcontroller. As load sensor senses the collision, the GSM start to send the plate of the vehicle, text message and the position of the vehicle in terms of latitude and longitude in real time.

scholarly journals Ankle Angle Prediction Using a Footwear Pressure Sensor and a Machine Learning Technique

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3790
Author(s):  
Zachary Choffin ◽  
Nathan Jeong ◽  
Michael Callihan ◽  
Savannah Olmstead ◽  
Edward Sazonov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pressure Sensor ◽  
Learning Algorithm ◽  
Flexible Substrate ◽  
Ankle Injuries ◽  
Sensor System ◽  
Measurement Unit ◽  
K Nearest Neighbor ◽  
Machine Learning Technique ◽  
Learning Technique

Ankle injuries may adversely increase the risk of injury to the joints of the lower extremity and can lead to various impairments in workplaces. The purpose of this study was to predict the ankle angles by developing a footwear pressure sensor and utilizing a machine learning technique. The footwear sensor was composed of six FSRs (force sensing resistors), a microcontroller and a Bluetooth LE chipset in a flexible substrate. Twenty-six subjects were tested in squat and stoop motions, which are common positions utilized when lifting objects from the floor and pose distinct risks to the lifter. The kNN (k-nearest neighbor) machine learning algorithm was used to create a representative model to predict the ankle angles. For the validation, a commercial IMU (inertial measurement unit) sensor system was used. The results showed that the proposed footwear pressure sensor could predict the ankle angles at more than 93% accuracy for squat and 87% accuracy for stoop motions. This study confirmed that the proposed plantar sensor system is a promising tool for the prediction of ankle angles and thus may be used to prevent potential injuries while lifting objects in workplaces.

A New Stress Sensor Based on Amorphous Alloy for Dynamic Weigh Rail

2011 ◽  
Vol 204-210 ◽  
pp. 608-611
Author(s):  
Yan Ping Shi
Keyword(s):  
Amorphous Alloy ◽  
Testing Machine ◽  
Material Testing ◽  
Static Characteristic ◽  
Stress Sensor ◽  
Actual Experiment ◽  
High Measurement ◽  
Material Testing Machine ◽  
Output Equation

In order to solve some problem of stress sensor in dynamic weigh rail, a new kind of inductive stress sensor based on magnetostriction effect of amorphous alloy was developed. First, the principle of sensor, and inferred its output equation were discussed. Second, the static characteristic experiment and the actual experiment on the material testing machine and the mine haulage rail were separately made. The results of the test have showed that this stress sensor has some characteristics as high measurement sensitiveness and accuracy. Also being simple, convenient and solid to install and use, so it is feasible to apply the sensor for the dynamic weigh rail.

Evaluation of the characteristics of various types of coils for the embolization of intracranial aneurysms with an optical pressure sensor system

2010 ◽  
Vol 53 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Noriaki Matsubara ◽  
Shigeru Miyachi ◽  
Yoshitaka Nagano ◽  
Tomotaka Ohshima ◽  
Osamu Hososhima ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Intracranial Aneurysms ◽  
Sensor System ◽  
Optical Pressure

scholarly journals Low-Cost Force Sensors Embedded in Physical Human–Machine Interfaces: Concept, Exemplary Realization on Upper-Body Exoskeleton, and Validation

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 505
Author(s):  
Niclas Hoffmann ◽  
Samet Ersoysal ◽  
Gilbert Prokop ◽  
Matthias Hoefer ◽  
Robert Weidner
Keyword(s):  
Low Cost ◽  
Testing Machine ◽  
Measurement Data ◽  
Upper Body ◽  
Testing Environment ◽  
Physical Support ◽  
Pressure Distributions ◽  
Human Machine Interfaces ◽  
Piezoresistive Pressure Sensor ◽  
Material Testing Machine

In modern times, the collaboration between humans and machines increasingly rises, combining their respective benefits. The direct physical support causes interaction forces in human–machine interfaces, whereas their form determines both the effectiveness and comfort of the collaboration. However, their correct detection requires various sensor characteristics and remains challenging. Thus, this paper presents a developed low-cost sensor pad working with a silicone capsule and a piezoresistive pressure sensor. Its measurement accuracy is validated in both an isolated testing environment and a laboratory study with four test subjects (gender-balanced), and an application integrated in interfaces of an active upper-body exoskeleton. In the material-testing machine, it becomes apparent that the sensor pad generally features the capability of reliably determining normal forces on its surface until a certain threshold. This is also proven in the real application, where the measurement data of three sensor pads spatially embedded in the exoskeletal interface are compared to the data of an installed multi-axis load cell and a high-resolution flexible pressure map. Here, the consideration of three sensor pads potentially enables detection of exoskeletal support on the upper arm as well as “poor” fit conditions such as uneven pressure distributions that recommend immediate system adjustments for ergonomic improvements.

scholarly journals Characterization of Three-Dimensional Printed Composite Scaffolds Prepared with Different Fabrication Methods

2016 ◽  
Vol 61 (2) ◽  
pp. 645-650 ◽  
Author(s):  
K. Szlązak ◽  
J. Jaroszewicz ◽  
B. Ostrowska ◽  
T. Jaroszewicz ◽  
M. Nabiałek ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Fused Deposition Modeling ◽  
Testing Machine ◽  
Three Dimensional ◽  
Gravimetric Analysis ◽  
Solution Casting ◽  
Micro Computed Tomography ◽  
Optimal Method ◽  
Fused Deposition ◽  
Material Testing Machine

Abstract An optimal method for composites preparation as an input to rapid prototyping fabrication of scaffolds with potential application in osteochondral tissue engineering is still needed. Scaffolds in tissue engineering applications play a role of constructs providing appropriate mechanical support with defined porosity to assist regeneration of tissue. The aim of the presented study was to analyze the influence of composite fabrication methods on scaffolds mechanical properties. The evaluation was performed on polycaprolactone (PCL) with 5 wt% beta-tricalcium phosphate (TCP) scaffolds fabricated using fused deposition modeling (FDM). Three different methods of PCL-TCP composite preparation: solution casting, particles milling, extrusion and injection were used to provide material for scaffold fabrication. The obtained scaffolds were investigated by means of scanning electron microscope, x-ray micro computed tomography, thermal gravimetric analysis and static material testing machine. All of the scaffolds had the same geometry (cylinder, 4×6 mm) and fiber orientation (0/60/120°). There were some differences in the TCP distribution and formation of the ceramic agglomerates in the scaffolds. They depended on fabrication method. The use of composites prepared by solution casting method resulted in scaffolds with the best combination of compressive strength (5.7±0.2 MPa) and porosity (48.5±2.7 %), both within the range of trabecular bone.

scholarly journals Compression Characteristics of Solid Wastes as Backfill Materials

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Meng Li ◽  
Jixiong Zhang ◽  
Rui Gao
Keyword(s):  
Large Diameter ◽  
Testing Machine ◽  
Deformation Modulus ◽  
Compression Tests ◽  
Initial Portion ◽  
Filling Materials ◽  
Backfill Materials ◽  
Material Testing Machine ◽  
Compression Characteristics ◽  
The Relationship

A self-made large-diameter compression steel chamber and a SANS material testing machine were chosen to perform a series of compression tests in order to fully understand the compression characteristics of differently graded filling gangue samples. The relationship between the stress-deformation modulus and stress-compression degree was analyzed comparatively. The results showed that, during compression, the deformation modulus of gangue grew linearly with stress, the overall relationship between stress and compression degree was approximately nonlinear, and the deformation of gangue was rather large during the initial portion of the test. Gangue sample mixed with Talbot Formula provides the best deformation resistance capacity, followed by fully graded and single-graded gangue samples. For applications, with adjustment of the gradation of filling materials and optimal design of compacting equipment, surface subsidence may be better controlled.

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