ShapeSense3D

2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)

Kreitmair

Johnson

et al. 2021

Self Cite

Recent developments in telemedicine have caused significant interest in the prolonged monitoring of bioelectric signals. This drives the search for easy-to-use, biocompatible, and environmentally friendly alternatives to conventional resistive wet electrodes. Here we demonstrate the use of Coconut-Oil and Carbon Black based stretchable electrodes to monitor electrophysiological signals without the need for conductive gels. The developed material is embedded into an elastomer matrix, exhibits a specific resistance ρ of 33.2 ± 12.3 Ω m, high conformability, and a stretchability up to 1500 %. The realised epidermal electrodes were used to record Electrocardiographic (ECG) signals in a 3-lead configuration and compared to commercial wet electrodes. Even after being elongated by 100 % for 100 stretch/release cycles, a reliable recording of the QRS-complex is demonstrated without the need for any contact enhancing or skin irritating substances, proving its potential use in long term ECG monitoring applications.

Section: Introductionmentioning

confidence: 99%

Soft Gel-free ECG electrodes based on Biocompatible Coconut-Oil and Carbon Black

2021 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)

Kreitmair

Johnson

et al. 2021

Self Cite

“…New technologies such as the use of badge-reel stretch sensors have been using also for posture monitoring [11], however, they still lacking the comformability to the human body shape offered by functional flexible and stretchable sensors [8,15,18]. This property has been explored for the fabrication of systems formed by arrays of sensors for shape sensing [16] and for the measurement of 3D surface deformations [8].…”

Section: Introductionmentioning

confidence: 99%

“…The algorihtm optimises the coordinates of the vertices of a mesh until a minimum error is obtained between the sensor-reported elongations and angles, and the reconstructed mesh elongations and angles. • Compared to the closest reported previous work [16] which employed commercial sensors which only measured elongation, the novelty of this work is to include both elongation and bend sensors. While only shapes with circular symmetry could be sensed in [16], our work can be applied to shapes with different radii on the cross section and with bending features perpendicular to the cross section.…”

Section: Introductionmentioning

confidence: 99%

“…• Compared to the closest reported previous work [16] which employed commercial sensors which only measured elongation, the novelty of this work is to include both elongation and bend sensors. While only shapes with circular symmetry could be sensed in [16], our work can be applied to shapes with different radii on the cross section and with bending features perpendicular to the cross section. This allows to captures more complex geometries including elbows or bumps, which could be useful in body-shape sensing applications, such as orthotics.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inferring Complex Textile Shape from an Integrated Carbon Black-infused Ecoflex-based Bend and Stretch Sensor Array

Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of The

Valsamakis

Kreitmair

et al. 2021

Self Cite

We demonstrate how an array of custom-made strain and bend sensors could be integrated into a stretchable sleeve to infer the textile deformation. The angles and elongation measured by the sensors can be used by an optimisation-based algorithm to infer the textile geometrical model by minimising a loss function. We evaluated this on 4 shapes highlighting different body-part characteristics. We demonstrated that a 3.11 mm reconstruction error on complex geometries can be reduced up to 0.08 mm with the computation of angles. This proves the potential of the proposed prototype for capturing the shape of a body parts, muscle density measurement, body shape acquisition, the fabrication of orthoses and prostheses, or to perform movement sensing for human activity recognition, where it could be included in sports leggings for biomechanical analysis, or in everyday garments for motion and gesture sensing.

Coco Stretch: Strain Sensors Based on Natural Coconut Oil and Carbon Black Filled Elastomers

Lugoda

Costa

Adv Materials Technologies

et al. 2020

Self Cite

A biocompatible inexpensive strain sensor constituting of an elastomer filled with natural coconut oil (CNO) and carbon black (CB) is presented here. Strain sensors are widely utilized for applications in human activity recognition, health monitoring, and soft robotics. Given that these sensors are envisioned to be present in a plethora of fields, it is important that they are low cost, reliable, biocompatible, and eco‐friendly. This work demonstrates that CNO can be used to create conductive percolation network in elastomers, without the necessity for harmful chemicals or expensive machinery. The sensor has a gauge factor of 0.77 ± 0.01, and the sensing material has a porous morphology filled with an oily suspension formed of CNO and CB. Results indicate that the liquid filled porous structure can improve the reliability of these resistive strain sensors in comparison to sensors fabricated utilizing commonly used non‐polar solvents such as heptane. Consequently, the sensor demonstrates a hysteresis of only 2.41% at 200% strain over 250 stretch/release cycles. Finally, to demonstrate the potential of this fabrication technique, a functionalized glove is developed and used to detect wrist motion. These easily manufacturable and cost‐effective sensors enable wearable on‐skin ergonomic intervention systems with minimal impact on the environment.