Advances in materials strategies, circuit designs, and informatics for wearable, flexible and stretchable electronics with medical and robotic applications

The future of medical electronics should be flexible, stretchable and skin-integrated. While modern electronics become increasing smaller, faster and energy efficient, the designs remain bulky and rigid due to materials and processing limitations. The miniaturization of health monitoring devices in wearable form resembles a significant progress towards the next-generation medical electronics. However, there are still key challenges in these wearable electronics associated with medical-grade sensing precision, reliable wireless powering, and materials strategy for skin-integration. Here, I present a series of systematic studies from materials strategies, circuit design to signal processing on skin-mounted electronic wearable devices. Several types of Epidermal Electronic Systems (EES) develop applications in dermatology, cardiology, rehabilitation, and wireless powering. For skin hydration measurement, fundamental studies of electrode configurations and skin-electrode impedance reveal the optimal sensor design. Furthermore, wireless operation of hydration sensor was made possible with direct integration on skin, and on porous substrates that collect and analyze sweats. Additionally, I present an epidermal multi-functional sensing platform that could provide a control-feedback loop through electromyogram and current stimulation; and a mechano-acoustic device that could capture vibrations from muscle, heart, and throat as diagnostic tools or human-machine interface. I developed a modularized epidermal radio-frequency energy transfer epidermal device to eliminate batteries and power cables for wearable electronics. Finally, I present a clinical study that validates a commercialized ESS on patients with nerve disorders for electromyography monitoring during peripheral nerve and spinal cord surgeries

High Fidelity Tape Transfer Printing Based On Chemically Induced Adhesive Strength Modulation

Transfer printing, a two-step process (i.e. picking up and printing) for heterogeneous integration, has been widely exploited for the fabrication of functional electronics system. To ensure a reliable process, strong adhesion for picking up and weak or no adhesion for printing are required. However, it is challenging to meet the requirements of switchable stamp adhesion. Here we introduce a simple, high fidelity process, namely tape transfer printing(TTP), enabled by chemically induced dramatic modulation in tape adhesive strength. We describe the working mechanism of the adhesion modulation that governs this process and demonstrate the method by high fidelity tape transfer printing several types of materials and devices, including Si pellets arrays, photodetector arrays, and electromyography (EMG) sensors, from their preparation substrates to various alien substrates. High fidelity tape transfer printing of components onto curvilinear surfaces is also illustrated

Applications of Capacitive Imaging in Human Skin Texture and Hair Analysis

This article focuses on the extraction of information from human skin and scalp hair for evaluation of a subject’s condition in the cosmetic and pharmaceutical industries. It uses capacitive images from existing hand-held research equipment and it applies image processing algorithms to expand their possible applications. The literature review introduces the readers into the field of skin research, and it highlights pieces of information that can be extracted by in vivo skin and ex vivo hair measurements. Then, the selected scientific equipment is presented, and Maxwell-based electrostatic simulations are employed to evaluate the measurement apparatus. Image analysis algorithms are suggested for (a) the detection of polygons on the human skin texture, (b) the estimation of wrinkles length and (c) the observation of hair water sorption capabilities by capacitive imaging systems. Finally, experiments are conducted to evaluate the performance of the presented algorithms and the results are compared with the literature. The results indicate that capacitive imaging systems can be used for skin age classification, detection and tracking of skin artifacts (e.g., wrinkles, moles or scars) and calculation of water content in hair samples

Epidermal sensors for monitoring skin physiology

Wearable sensors are revolutionizing personalised healthcare and have continuously progressed over the years in both research and commercialization. However, most efforts on wearable sensors have been focused on tracking movement, spatial position and continuous monitoring of vital signs such as heart rate or respiration rate. Recently, there is a demand to obtain biochemical information from the body using wearables. This demand stems from an individuals’ desire for improved personal health awareness as well as the drive for doctors to continuously obtain medical information for a patients’ disease management. Epidermal sensors are a sub-class of wearable sensors that can intimately integrate with skin and have the potential for monitoring physical changes as well as detecting biomarkers within skin that can be related to human health. The holy grail for these types of sensors is to achieve continuous real-time monitoring of the state of an individual and the development of these sensors are paving the way towards personalised healthcare. However, skin is highly anisotropic which makes it challenging to keep epidermal sensors in consistent contact with skin. It is important that these sensors remain in contact with skin in order to measure its electrical properties and acquire high fidelity signals. The key objective of this thesis is to develop thin conformable, stretchable epidermal sensors for tracking changes in skin physiology. The initial iteration of the screen printed epidermal sensor comprised of a flexible silver film. Impedance spectroscopy was used to understand the electrical signals generated on skin and it was used to measure relative changes due to varying water content. However, this iteration was more suited for single use. The next chapters explore different ink formulations and adherence methodologies to enhance the epidermal sensors adherence to skin. Impedance spectroscopy was used to characterise the electrical signals from these different epidermal sensor iterations, while tensile testing and on-body assessment was used to characterise its mechanical properties. The final chapter focused on investigating the use of phenyl boronic acid (PBA) functionalized hydrogels to modify the epidermal sensor with responsive hydrogel materials to enable chemical sensing of analytes relevant to skin physiology. Impedance spectroscopy was used to characterise and understand the electrical signals generated by the binding interaction of the PBA and analytes using the sensor. Overall, the work demonstrates the challenges of developing these epidermal sensors as well as presenting their potential for continuous monitoring of human skin in the future

A Review on Opportunities to Assess Hydration in Wireless Body Area Networks

The study of human body hydration is increasingly leading to new practical applications, including online assessment techniques for whole body water level and novel techniques for real time assessment methods as well as characterization for fitness and exercise performance. In this review, we will discuss the different techniques for assessing hydration from electrical properties of tissues and their components and the biological relations between tissues. This will be done mainly in the context of engineering while highlighting some applications in medicine, mobile health and sports

Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing

Personalized hydration level monitoring play vital role in sports, health, wellbeing and safety of a person while performing particular set of activities. Clinical staff must be mindful of numerous physiological symptoms that identify the optimum hydration specific to the person, event and environment. Hence, it becomes extremely critical to monitor the hydration levels in a human body to avoid potential complications and fatalities. Hydration tracking solutions available in the literature are either inefficient and invasive or require clinical trials. An efficient hydration monitoring system is very required, which can regularly track the hydration level, non-invasively. To this aim, this paper proposes a machine learning (ML) and deep learning (DL) enabled hydration tracking system, which can accurately estimate the hydration level in human skin using galvanic skin response (GSR) of human body. For this study, data is collected, in three different hydration states, namely hydrated, mild dehydration (8 hours of dehydration) and extreme mild dehydration (16 hours of dehydration), and three different body postures, such as sitting, standing and walking. Eight different ML algorithms and four different DL algorithms are trained on the collected GSR data. Their accuracies are compared and a hybrid (ML+DL) model is proposed to increase the estimation accuracy. It can be reported that hybrid Bi-LSTM algorithm can achieve an accuracy of 97.83%

Non-invasive hydration level estimation in human body using Galvanic Skin Response

Dehydration and overhydration, both have mild to severe medical implications on human health. Tracking Hydration Level (HL) is, therefore, very important particularly in patients, kids, elderly, and athletes. The limited solutions available for the estimation of HL are commonly inefficient, invasive, or require clinical trials. Need for a non-invasive auto-detection solution is imminent to track HL on a regular basis. To the best of authors’ knowledge, it is for the first time a Machine Learning (ML) based auto-estimation solution is proposed that uses Galvanic Skin Response (GSR) as a proxy of HL in the human body. Various body postures, such as sitting and standing, and distinct hydration states, hydrated vs dehydrated, are considered during the data collection and analysis phases. Six different ML algorithms are trained using real GSR data, and their efficacy is compared for different parameters (i.e., window size, feature combinations etc). It is reported that a simple algorithm like K-NN outperforms other algorithms with accuracy upto 87.78% for the correct estimation of the HL

Chromatographic and sensor-based analysis of skin volatile emissions

Non-invasive techniques for skin analysis including wearable sensor are continuously being explored for their use in personalised healthcare to track movement, blood pressure and heart rate among many other parameters. Recently, focus has shifted towards the development of such wearable sensors for use in biochemical analysis. Accurately diagnosing or predicting the course of an epidermal disease in an individual is challenging due to the complex nature of the skin. Epidermal sensors are a subclass of wearable sensors that are designed to have intimate contact with the skin and are used to monitor physical changes in the skin barrier and detect skin disease biomarkers that can be related to human health. Challenges associated with epidermal sensors is the difficulty of sampling from the skin and also tuning the sensor for the selective detection of a target biomarker or set of biomarkers. The overall aim of this thesis is to investigate the skin volatile emission profile as a potential matrix for analysis and to obtain bio-diagnostic information related to skin health. Chapter 1 of the thesis reviews the literature related to skin structure, function and the methods used for non-invasive skin surface assessment. Chapter 2 explore the potential of using skin volatile samples collected via solid phase micro extraction in a wearable format as a means to assess skin surface pH. Chapter 3 describes the synthesis of a novel dye and the development of dye into a wearable colorimetric skin sensor for the detection of skin emitted volatiles. Although, this sensor is at its early stages of development it has demonstrated selectivity towards skin volatile amines. The work done highlights the possibility of using skin volatiles as a means of assessing skin properties whereby, the measurement of skin surface pH based on the volatile emissions was demonstrated using a wearable colorimetric sensor. Since, skin pH is an important property to monitor for optimal skin barrier function and cutaneous antimicrobial defence, it is envisaged that this sensor could be deployed for health monitoring in the future

Flexible and Stretchable Electronics

Flexible and stretchable electronics are receiving tremendous attention as future electronics due to their flexibility and light weight, especially as applications in wearable electronics. Flexible electronics are usually fabricated on heat sensitive flexible substrates such as plastic, fabric or even paper, while stretchable electronics are usually fabricated from an elastomeric substrate to survive large deformation in their practical application. Therefore, successful fabrication of flexible electronics needs low temperature processable novel materials and a particular processing development because traditional materials and processes are not compatible with flexible/stretchable electronics. Huge technical challenges and opportunities surround these dramatic changes from the perspective of new material design and processing, new fabrication techniques, large deformation mechanics, new application development and so on. Here, we invited talented researchers to join us in this new vital field that holds the potential to reshape our future life, by contributing their words of wisdom from their particular perspective