Presently modern technology makes a significant contribution to the transition from traditional healthcare to smart healthcare systems. Mobile health (mHealth) uses advances in wearable sensors, telecommunications and the Internet of Things (IoT) to propose a new healthcare concept centered on the patient. Patients' real-time remote continuous health monitoring, remote diagnosis, treatment, and therapy is possible in an mHealth system. However, major limitations include the transparency, security, and privacy of health data. One possible solution to this is the use of blockchain technologies, which have found numerous applications in the healthcare domain mainly due to theirs features such as decentralization (no central authority is needed), immutability, traceability, and transparency. We propose an mHealth system that uses a private blockchain based on the Ethereum platform, where wearable sensors can communicate with a smart device (a smartphone or smart tablet) that uses a peer-to-peer hypermedia protocol, the InterPlanetary File System (IPFS), for the distributed storage of health-related data. Smart contracts are used to create data queries, to access patient data by healthcare providers, to record diagnostic, treatment, and therapy, and to send alerts to patients and medical professionals.
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http://dx.doi.org/10.3390/s21082828 | DOI Listing |
ACS Appl Mater Interfaces
December 2024
Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing 100081, China.
Humidity sensors have been widely used to monitor humidity in daily life, agriculture fields, and so on. However, conventional sensors are not suitable for wearable devices because of their large dimensions and rigid substrates. Hence, we report a fast response, highly sensitive, and fully flexible humidity sensor on a PI substrate based on the composite material of reduced graphene oxide (rGO)/MoS, with a response time of 0.
View Article and Find Full Text PDFACS Appl Mater Interfaces
December 2024
College of Chemistry and Chemical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Polyurethane sponge is frequently selected as a substrate material for constructing flexible compressible sensors due to its excellent resilience and compressibility. However, being highly hydrophilic and flammable, it not only narrows the range of use of the sensor but also poses a great potential threat to human safety. In this paper, a conductive flexible piezoresistive sensor (CHAP-PU) with superhydrophobicity and high flame retardancy was prepared by a simple dip-coating method using A-CNTs/HGM/ADP coatings deposited on the surface of a sponge skeleton and modified with polydimethylsiloxane.
View Article and Find Full Text PDFJ Neural Transm (Vienna)
December 2024
Department of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, 5 Cutcombe Road, London, SE5 9RX, UK.
Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by both motor and non-motor symptoms that necessitate ongoing clinical evaluation and medication adjustments. Home-based wearable sensor monitoring offers a detailed and continuous record of patient symptoms, potentially enhancing disease management. The EmPark-PKG study aims to evaluate the effectiveness of the Parkinson's KinetoGraph (PKG), a wearable sensor device, in monitoring and tracking the progression of motor symptoms over 12 months in Emirati and non-Emirati PD patients.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Communications and Electronics, Delta University for Science and Technology, Mansoura, Egypt.
Human activity recognition (HAR) is one of the most important segments of technology advancement in applications of smart devices, healthcare systems & fitness. HAR uses details from wearable sensors that capture the way human beings move or engage with their surrounding. Several researchers have thus presented different ways of modeling human motion, and some have been as follows: Many researchers have presented different methods of modeling human movements.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Electrical and Electronics Engineering, Izmir Democracy University, 35140, Izmir, Turkey.
The rising popularity of wearable activity tracking devices can be attributed to their capacity for gathering and analysing ambient data, which finds utility across numerous applications. In this study, a wearable activity tracking device is developed using the BBC micro:bit development board to identify basic bachata dance steps. Initially, a pair of smart ankle bracelets is crafted, employing the BBC micro:bit board equipped with a built-in accelerometer sensor and a Bluetooth module for transmitting accelerometer data to smartphones.
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