New types of patient health records aim to help physicians shift from a medical practice, often based on their personal experience, towards one of evidence based medicine, thus improving the communication among patients and care providers and increasing the availability of personal medical information. These new records, allowing patients and care providers to share medical data and clinical information, and access them whenever they need, can be considered enabling Ambient Assisted Living technologies. Furthermore, new personal disease monitoring tools support specialists in their tasks, as an example allowing acquisition, transmission and analysis of medical images. The growing interest around these new technologies poses serious questions regarding data integrity and transaction security. The huge amount of sensitive data stored in these new records surely attracts the interest of malicious hackers, therefore it is necessary to guarantee the integrity and the maximum security of servers and transactions. Blockchain technology can be an important turning point in the development of personal health records. This paper discusses some issues regarding the management and protection of health data exchanged through new medical or diagnostic devices.
To describe the ARAMIS (Automatic Recovery Arm Motility Integrated System) project, a concept robot applicable in the neuro-rehabilitation of the paretic upper limb after stroke. Methods, results and conclusion: The rationale and engineering of a state-of-the-art, hardware/software integrated robot system, its mechanics, ergonomics, electric/electronics features providing control, safety and suitability of use are described. An ARAMIS prototype has been built and is now available for clinical tests. It allows the therapist to design neuro-rehabilitative (synchronous or asynchronous) training protocols in which sample exercises are generated by a single exoskeleton (operated by the patient's unaffected arm or by the therapist's arm) and mirrored in real-time or offline by the exoskeleton supporting the paretic arm.
Dysgraphia, which is known as a writing disorder, is a specific disorder of writing regarding the reproduction of alphabetical and numerical signs. Dysgraphia may be related to dyspraxia, which is secondary to incomplete lateralization and characterized by a difficulty to reproduce alphabetical and numerical signs. Since the causes of dysgraphia are unknown, the rapid detection of symptoms is very important. In academic and clinical uses, the most common tool for detecting dysgraphia is an evaluation of the quality of writing on paper sheets. A writing analysis is based on rules for scoring the writing quality. In this paper, we discuss TestGraphia, which is a software system that can support doctors in making diagnoses and monitoring patients with dysgraphia in an objective manner. The system is based on known document analysis algorithms and modified or specially designed algorithms. Based on this software, a forms analysis requires considerably less time than that needed by traditional methods, enabling large screening activities and reducing time and cost. Potential dynamic changes in dysgraphia screening can be assessed by monitoring the quality of writing in a non-invasive way with reduced costs, both in the laboratory and the patient's home, and the appropriate frequency. In the system that we will describe, the mean time to execute a diagnosis is nearly ten times faster with trustworthy results. INDEX TERMS Dysgraphia, document analysis system, BHK test, handwriting analysis.
The audience for the books in LNEE consists of advanced level students, researchers, and industry professionals working at the forefront of their fields. Much like Springer's other Lecture Notes series, LNEE will be distributed through Springer's print and electronic publishing channels.
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