Marta Vegas-García, Anandapadmanabhan Ambily Rajendran, Beatriz L. Garrote, Daniel Valero Beltrá, Laura García-Carmona, Alfredo Quijano-López, Marta García-Pellicer
{"title":"From Free-Standing to Textile Electrodes: Carbonaceous Biocompatible Material for Wearable Sensing","authors":"Marta Vegas-García, Anandapadmanabhan Ambily Rajendran, Beatriz L. Garrote, Daniel Valero Beltrá, Laura García-Carmona, Alfredo Quijano-López, Marta García-Pellicer","doi":"10.1049/htl2.70071","DOIUrl":"10.1049/htl2.70071","url":null,"abstract":"<p>Wearable electronics have been on the rise for personal monitoring in healthcare and sports, allowing real-time tracking. However, developing flexible, conductive, biocompatible, and suitable for continuous, long-term use (bio)electrodes remains a challenge. In this sense, carbon materials offer a promising solution due to their excellent electrical conductivity, mechanical strength, and natural biocompatibility. Moreover, they are cost-effective, modifiable, and align well with environmentally friendly practices. This work presents a simple and sustainable fabrication method for custom-formulated carbon black-chitosan (CB-CH) ink, enhanced with multi-walled carbon nanotubes (MWCNTs). The formulation avoids toxic chemicals, high energy input, and lengthy processing, supporting a greener approach. The resulting ink enables the fabrication of free-standing and textile-based electrodes with high conductivity, mechanical durability, and application-dependent biocompatibility, supporting extended use for CB-CH and short- to medium-term wearable applications (≤24 h) when MWCNTs are incorporated. Their performance was validated through real-time monitoring of electrophysiological signals such as electrocardiograms and electromyograms, showing signal quality comparable to conventional silver electrodes while overcoming gel dehydration and skin irritation. Overall, this work offers a scalable, cost-effective, and eco-friendly pathway for producing multifunctional electrodes, paving the way for next-generation wearable sensing platforms in clinical diagnostics, rehabilitation therapies, and athletic performance monitoring.</p>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12930293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147291344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Souhardo Rahman, Md. Nasif Safwan, Mahamodul Hasan Mahadi, Md. Iftekharul Mobin, Muhammad Firoz Mridha
{"title":"OpthaNet: Attention-Integrated Architecture for High-Precision Multi-Class Ophthalmic Image Classification","authors":"Souhardo Rahman, Md. Nasif Safwan, Mahamodul Hasan Mahadi, Md. Iftekharul Mobin, Muhammad Firoz Mridha","doi":"10.1049/htl2.70067","DOIUrl":"10.1049/htl2.70067","url":null,"abstract":"<p>This study investigated the efficacy of pre-trained deep learning models for multi-class classification of eye diseases, namely cataract, diabetic retinopathy, and glaucoma, using fundus images. Although CNN and transformer-based models have been extensively explored separately in ophthalmic diagnostics, a direct comparative analysis remains limited. Moreover, recent high-performing systems frequently rely on heavy backbones, ensembles, or large-scale domain pretraining, which can be impractical for resource-constrained screening pipelines. We evaluated three models, EfficientNetB3, MobileNetV2 and vision Transformer, with tailored modifications. An attention-enhanced feature refinement module and the OpthaHead custom classifier enhanced EfficientNetB3 and MobileNetV2, while META customization optimized vision Transformer. The proposed design explicitly targets two practical bottlenecks observed in ophthalmic transfer learning, insufficient feature selectivity for subtle lesions and structural regions, and overfitting or instability in the final decision layers when training data are limited. The optimized EfficientNetB3 achieved a 10.84% improvement over its baseline with 96.04% accuracy, and MobileNetV2 improved by 11.26%, balancing accuracy and computational efficiency. META customization boosted vision Transformer performance by over 18%, showing that reducing model complexity benefits transformers on limited medical data. This study demonstrates strong performance for AI-driven eye disease classification and highlights the potential of AI tools for early detection, improving clinical decision-making and patient outcomes.</p>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12928125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147285434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Informing the Development of Reminiscence Technology for Older Adults: A Prospective Study of Acceptance Determinants","authors":"Gillian Zitrin, Emmanuel Monfort","doi":"10.1049/htl2.70066","DOIUrl":"10.1049/htl2.70066","url":null,"abstract":"<p>Digital health technologies offer promising avenues for supporting the psychological health of the ageing population. Reminiscence therapy, a non-pharmacological intervention, holds significant potential when delivered via digital platforms. This study investigates the factors influencing the acceptance and intention to use a digital reminiscence platform among older adults. We employed an online questionnaire administered to 56 participants aged 60 to 86 years. The study integrated constructs from the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), alongside an assessment of functional reminiscence types. Our findings indicate that perceived usefulness and hedonic motivation are the primary predictors of older adults' intention to use the digital reminiscence platform. Furthermore, functional reminiscence types, specifically integrative and instrumental reminiscence, showed strong associations with higher platform acceptability. These findings highlight the importance of designing digital reminiscence tools that align with older adults’ psychosocial goals and provide meaningful, enjoyable experiences. In particular, perceived usefulness, hedonic motivation, and the relevance of instrumental and integrative reminiscence functions emerged as key acceptance factors. These insights will inform an ongoing co-design process to develop a user-centred platform that supports memory sharing, personal meaning-making, and intergenerational connection.</p>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12927988/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147285486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arezou Azizi Alavijeh, Khadijeh Moulaei, Mohammad Mehdi Ghaemi, Kambiz Bahaadinbeigy
{"title":"Empowering People With Haemophilia: A Mobile Solution for Self-Management","authors":"Arezou Azizi Alavijeh, Khadijeh Moulaei, Mohammad Mehdi Ghaemi, Kambiz Bahaadinbeigy","doi":"10.1049/htl2.70070","DOIUrl":"10.1049/htl2.70070","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and Aims</h3>\u0000 \u0000 <p>Haemophilia is a congenital bleeding disorder requiring extensive self-management. Mobile applications can support these processes. This study aimed to design and evaluate a mobile application to facilitate self-management in persons with haemophilia.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The study was conducted in two phases. First, a literature review was performed in PubMed, Web of Science, and Scopus, and searches were made in Google Play, Apple Store, and the websites of the World Federation of Hemophilia and Hemophilia Federation of America to identify information-educational needs and necessary capabilities for app design. A questionnaire based on these needs was then provided to physicians and patients for approval. In the second phase, the application prototype was designed according to the approved information-educational needs and necessary capabilities and evaluated for usability using the standard Questionnaire for User Interface Satisfaction with 17 patients. Data were analysed using SPSS 20.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Sixty-two information-educational needs and capabilities with scores above 50% were included in the design. The designed application can provide the conditions for recording demographic information, medical history, treatment information, bleeding information, and injuries and accidents and provide the education on self-management for patients. Moreover, it has the capabilities to set various reminders (taking medication, rehabilitation-physical activities, and appointments with the therapist), set the treatment plan, send reports to the therapist, communicate with other persons with haemophilia and therapists, and record notes. Patients evaluated the application's usability at a “good” level.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The haemophilia self-management app can enhance patients’ quality of life by addressing their educational needs and supporting self-management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12916018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146228945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"E-Variance: An Application to Assure Clinical Data Integrity and Improve Patient Safety and Workflows in Electronic Medical Records","authors":"Shafiq Rahman, Konstantin Milman, Taek-Soo Lee","doi":"10.1049/htl2.70069","DOIUrl":"10.1049/htl2.70069","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Ensuring critical data integrity practices are often missing from the confidence of decision-making in the recorded clinical data. Thus, we developed an application to report clinical data errors to provide effective healthcare IT services and maintain clinical data integrity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Materials and Methods</h3>\u0000 \u0000 <p>The RadOnc E-Variance web-based application was designed and developed to report data inconsistencies and variances noted during clinical operations. The data inconsistency issues can be reported in 3 broad categories: Patient-related, Non-Patient related, and other suggestions/open-ended, allowing uploading of images or document files. The contents presented on the web are dynamically created in the application and are stored in a database. In the back-end, data analytics and detailed assessments are available on the dashboard. Users reporting variances remain anonymous to ensure reporting freely and frequently.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Once implemented clinically, we have found significant improvements with fewer errors, ensured patient treatment safety, and improved workflows in our state-wide clinics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The RadOnc E-Variance application effectively increases patient safety by ensuring data integrity and minimises risks in the EMR applications at multifaceted enterprise levels of hospital environments by reducing the inconsistencies in data recording and errors recorded in electronic health records.</p>\u0000 </section>\u0000 </div>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"13 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl2.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146217323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}