# Bluetooth-Based Healthcare Information and Medical Resource Management System
## 2 Related Work and Literature Review
### Related Research  
[PERSON] et al. [29] provided a systematic literature review on recent studies of IoT-based healthcare-monitoring systems, compared various systems' effectiveness, efficiency, data protection, privacy, security, and monitoring, and discussed the challenges and open issues regarding security and privacy and Quality of Service (QoS). [PERSON] et al. [30] presented a custom-built, end-to-end ECG (Electrocardiography) capturing prototype system. This system utilizes an AD8232 microchip (Analog Devices, Wilmington, MA, USA) as the analog front-end, which is then fed into an Arduino (MKR1010, Arduino, Italy), which offers both Bluetooth and WiFi connectivity to a smartphone or another external device for the remote monitoring of the patients. The system is also equipped with a temperature and specific oxygen (SpO2) sensor and is able to display an ECG signal/SpO2/temperature on a local display screen, on a custom mobile application through Bluetooth, and on a server through WiFi.  
[PERSON] et al. [31] proposed a 5G-based architecture for smart healthcare information infrastructure, which optimized the latest technical architecture standardized by 3 GPP (3 rd Generation Partnership Project) and ETSI (European Telecommunications Standards Institute) about MEC (multi-access edge computing) 5G Integration under a smart healthcare scenario. A new network element, iGW (industry gateway), as the core was defined, and a smart healthcare dedicated cloud platform, iMEP (industry multi-access edge platform), was also introduced. Different types of physiological signals were acquired using GSR (Galvanic Skin Reaction), EMG (Electromyography), and HRM (Heart Rate Monitor) sensors and were analyzed in terms of variability over time before, during, and after the EMDR (Eye Movement Desensitization and Reprocessing) session [32], in which a VR (Virtual Reality) with the bilateral stimulation used in as a tool to relieve stress was proposed. A 15 min relaxation training program was created for adults in a virtual, relaxing environment. The data from the sensors placed in or on the patient's body contain personal private information, and their transmission out of the body towards a medical server, therefore, requires communication security.  
[PERSON] et al. [33] presented a secure healthcare system that integrates IoT with Blockchain to support remote patient monitoring, especially when it comes to chronic diseases that need regular monitoring. The security was ensured by using the re-encryption proxy together with Blockchain to store hash data via IPFS (Inter Planetary File System). [PERSON] et al. [34] reviewed the security challenges and solutions for WBAN (Wireless Body Area Network). The challenges include data confidentiality, data authentication, data integrity, data freshness, secure management, data availability, efficiency and usability, authorization, non-repudiation, scalability up and downsizing, flexibility, data security, and reliability. Some security strategies that satisfy the requirements for securing internal communication in WBAN are avoiding DoS (denial-of-service) attacks, avoiding data tampering attacks, achieving data confidentiality, and avoiding data authenticity. Discretionary Access Control (DAC), Mandatory Access Control, Role-Based Access Control (RBBAC), and Attribute-Based Encryption (ABE) are some of the existing access control adopted algorithms. A trade-off among security, efficiency, flexibility, and usability should be made for new solutions to cope with the future trend of the development of smaller and low-power consumption medical sensors.