Stroke affects 33 million individuals worldwide every year and is one of the prime causes of paralysis. Due to partial or full paralysis, most of the patients affected by stroke depend on caregivers for the rest of their lives. Easy and efficient communication from the patient to the caregiver is a vital parameter determining the quality of life during rehabilitation. Several solutions, such as brain–computer interface (BCI) systems and exoskeletons, are proposed for post-stroke rehabilitation. But, most of these devices are expensive, sophisticated, and put an additional burden on the patient. Also, the communication between the patient and the caregiver is insecure. In this article, the brain-to-brain interface technique is integrated with an efficient encryption algorithm to enable secure transmission of information from the patient’s brain to the caregiver. When a patient thinks of a word or a number, the thought is transmitted with the help of an electroencephalogram (EEG) headset through a wireless medium to the recipient, who correctly interprets the thoughts conveyed by the sender and types the same alphabet on the keyboard at his/her end. The transmitted message at the edge is encrypted with a lightweight novel tiny symmetric algorithm (NTSA), which can only be decrypted at the edge receiver. The Internet of Things integrated system is also flexible to send signals to multiple caregivers at the same time. The proposed method tested on ten users gave an average effective concentration percentage of 78.9% along with the secure transmission, which is a significant result compared with existing solutions.

中文翻译：

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通过边缘计算实现安全的脑对脑通信，以协助卒中后瘫痪患者

中风每年影响全世界3300万人，是导致瘫痪的主要原因之一。由于部分或全部麻痹，大多数中风患者在余生中都依赖看护者。从患者到护理人员的便捷有效沟通是决定康复过程中生活质量的重要参数。针对脑卒中后康复提出了几种解决方案，例如脑机接口（BCI）系统和外骨骼。但是，大多数这些设备昂贵，复杂，并且给患者增加了负担。而且，患者和护理人员之间的通信是不安全的。在这篇文章中，脑对脑接口技术与高效的加密算法集成在一起，可实现从患者大脑到护理人员的安全信息传输。当患者想到单词或数字时，借助脑电图（EEG）耳机将其通过无线介质传输给接收者，接收者可以正确解释发送者传达的想法并在键盘上键入相同的字母在他/她的尽头。在边缘传输的消息使用轻量级新颖的微小对称算法（NTSA）进行加密，该算法只能在边缘接收者处解密。物联网集成系统还可以灵活地将信号同时发送给多个看护人。建议的方法在十个用户身上进行测试，得出平均有效浓度百分比为78。