Miniaturized textile-based multi-layer ph-sensor for wound monitoring applications

Nocke, Andreas; Schröter, A.; Cherif, Chokri; Gerlach, Gerald

doi:10.2478/v10304-012-0004-x

Cited by 27 publications

(23 citation statements)

References 13 publications

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“…By monitoring the changes of bioelectrical signals during exercise, the characteristic indicators that are strongly related to exercise fatigue are selected for exercise fatigue assessment [28]. Relevant scholars collected the ECG and EMG signals of the experimenters in the exercise and fitness process, and analyzed the characteristics of the signals in the time domain and frequency domain respectively, and found the true characteristic indicators that reflect sports fatigue, and used Hidden Markov Model (HMM) to construct the HMM sports fatigue multi-classification model based on bioelectric signal [29]. Deep neural network can model multi-level fully connected network structure according to actual needs [30]- [32].…”

Section: Introductionmentioning

confidence: 99%

Exercise Fatigue Detection Algorithm Based on Video Image Information Extraction

Zhang

Wang

2020

IEEE Access

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Section: Introductionmentioning

confidence: 99%

Exercise Fatigue Detection Algorithm Based on Video Image Information Extraction

Zhang

Wang

2020

IEEE Access

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“…This technique, however, requires complex chemical manipulations for the preparation and immobilization of the indicator dyes into the microparticles. Another approach reported by Nocke et al uses a pH sensor based on the chemomechanical transduction force generated by a pH sensitive hydrogel wrapped around a metallic wire (pH variations result in swelling/shrinking of the hydrogel which in turn changes the wire impedance) [13]. Although potentially flexible and wearable if woven into a fabric, the process of weaving the sensors in an array format without damaging the hydrogel is not trivial.…”

Section: Introductionmentioning

confidence: 99%

A low-cost flexible pH sensor array for wound assessment

Rahimi

Ochoa

Parupudi

et al. 2016

Sensors and Actuators B: Chemical

157

115

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The pH level in a chronic wound bed is a key indicative parameter for assessment of the healing progress. Due to their fragility and inability to measure multiple wound regions simultaneously, commercial glass microelectrodes are not well-suited for spatial mapping of the wound pH. To address this issue, we present an inexpensive flexible array of pH sensors fabricated on a polymer-coated commercial paper (palette paper). Each sensor consists of two screen-printed electrodes, an Ag/AgCl reference electrode and a carbon electrode coated with a conductive proton-selective polymeric (polyaniline, PANI) membrane. Laser-machining is used to create a self-aligned passivation layer with access holes that is bonded over the sensing and reference electrodes by lamination technology. Characterization of the pH sensors reveal a linear (r 2 = 0.9734) relationship between the output voltage and pH in the 4-10 pH range with an average sensitivity of −50 mV/pH. The sensors feature a rise and fall time of 12 and 36 s for a pH swing of 8-6-8. The sensor biocompatibility is confirmed with HaCaT immortal human kertinocyte cells.

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“…The development of textile‐based sensing devices capable of pH monitoring represents a major progress within this field. A pH‐indicator dye coupled to Raman spectroscopy 16 and a pH‐responsive hydrogel in a multi‐layer coated fiber using impedance spectroscopy 17 have been reported. Diamond et al.…”

Section: Introductionmentioning

confidence: 99%

Bandage‐Based Wearable Potentiometric Sensor for Monitoring Wound pH

et al. 2014

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A new wearable electrochemical sensor for monitoring the pH of wounds is introduced. The device is based on the judicious incorporation of a screen‐printed pH potentiometric sensor into bandages. The fabrication of this sensor, which uses an electropolymerized polyaniline (PANi) conducting polymer for pH sensing, combines the screen‐printing fabrication methodology with all‐solid‐state potentiometry for implementation of both the reference and the working electrodes. The pH bandage sensor displays a Nernstian response over a physiologically relevant pH range (5.5–8), with a noteworthy selectivity in the presence of physiological levels of most common ions. The bandage‐embedded sensor can track pH fluctuations with no apparent carry‐over effect. The sensor displays good resiliency against mechanical stress, along with superior repeatability and reproducibility. The in vitro performance of the device was successfully evaluated using buffer solutions emulating the composition of a wound. The novel pH‐sensitive bandages facilitate new avenues towards the realization of telemedicine.

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Miniaturized textile-based multi-layer ph-sensor for wound monitoring applications

Abstract: Abstract:Wound assessment has become an important issue in the wound treatment procedure. One

Cited by 27 publications

References 13 publications

Exercise Fatigue Detection Algorithm Based on Video Image Information Extraction

Exercise Fatigue Detection Algorithm Based on Video Image Information Extraction

A low-cost flexible pH sensor array for wound assessment

Bandage‐Based Wearable Potentiometric Sensor for Monitoring Wound pH

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