Over recent decades, wearable electronics have introduced successful bio-medical products to the commercial market, including real-time monitoring, symptom diagnosis, stimulation therapy, and rehabilitation. Hydrogel electrodes are commonly used in such devices, for data acquisition or electrical intervention. However, they are not a comfortable option for long-term applications and can trigger allergic reactions. Furthermore, it has been demonstrated that most water-based electrolytes, such as pure water, saline and conductive gel, gradually evaporate, resulting in signal degradation for long-term use. The electrode properties become particularly important in applications where moderate amount of electrical current is injected to the body, as in transcutaneous electrical nerve stimulation (TENS). To this end, a promising alternative is seen in conductive textile-based, dry electrodes. However, there is not sufficient evidence investigating viable alternative electrolytes for electrical stimulation involving human subject participation and controlled measurement. The aim of this work is to determine the possibility of TENS using textile electrodes to ensure stable performance over both short and long-term timescales. This was achieved by simultaneous EMG measurements to validate the efficacy of our electrode setup. The stimulation electrode prototypes used in the study comprised a knit conductive fabric, a soft insulating filling, an underlying layer of insulating fabric, and a pair of metal connectors. The EMG measurement is done using standard hydrogel electrodes. All the textile electrode prototypes used in this study have identical dimensions of 50 mm × 50 mm to match the size of typical CE certified hydrogel electrodes. A FDA approved Constant Current Stimulator (Digitimer DS-07A) was used for stimulation. Four healthy volunteers – one female (25 years old), and three males (28, 32, and 35 years old) – participated in this experiment. All experimental protocols were approved by the Informatics Research Ethics Committee, University of Edinburgh, and all participants gave written informed consent before the start of the trial.An overactive bladder is a common medical condition, particularly among the elderly. It leads to urinary incontinence (UI) and influences the quality of life for around 40% of those above 75 (>6million people in UK). People often consider this as a natural progression to old age and do not actively seek any treatment. However, UI is one of the main factors why the elderly lack confidence and give up their independence to move to care homes. Conventional approaches to treat UI, e.g., drugs and bladder-catheterisation have several side effects (e.g., dry-mouth, constipation, confusion). Invasive electrical stimulation of the Tibial nerve (around the ankle) is an established alternative treatment. But a needle electrode inserted into the leg can be painful and distressing. Recently, a non-invasive version of this method has been demonstrated to be successful for older adults. However, it comprises multiple hospital visits per week over a duration of 2 months. Such a long treatment process leads to reduced adherence especially for the frail elderly who have already accepted UI to be a part of their life. We propose an instrumented sock that the user can wear comfortably throughout the day, while electrodes weaved into it will stimulate the tibial nerve when necessary. The stimulation parameters will use an AI-based algorithm (via a smartphone) set by the clinician. The proposed system can be tried by a larger section of the population without surgery or repeated hospital visits. Hence, users will have much greater privacy and flexibility in managing incontinence.

EMG measurment were taken from the toe while stimulating the tibial nerve stimulation. The raw data was recorded from each participant via a BlackRock Microsystems (Blackrock Neurotech, USA) were stored in a propietary format. To further process and analyse the data, a Python library ("brpylib") has been provided by the manufacturer. Additionally, an "example" folder that contains some example codes in Python has also be supplied within "brpylib" library. The data was stored seperately in different folders for each participant, and under the subfolder for individual participant, data was differentiated by ELECTRODE TYPE INDICATOR such as "pads" and "sock" due to different electrode types used during the experiments: "pads" indicates Hydrogel Electrode "sock" indicates Conductive Textile Electrode Each file of raw data is named as "{ELECTRODE TYPE INDICATOR}{PULSE WIDTH}{STIMULATION INTENSITY}.NS4". PULSE WIDTH: 50, 100 and 200 micro-second STIMULATION INTENSITY: from 1 to 50 mA and can be varied between participants. For example, "pads_200_10" denotes that hydrogel electrodes were used during stimulation during which the pulse width of stimulation pulses is fixed at 200 micro-second, and the stimulation intensity was set to be 10 mA.