TY - GEN
T1 - Blockchain-Based Privacy Preserved Physiological Data Sharing Platform
AU - Guan, Xue Qin
AU - Hsieh, Yu Heng
AU - Yuan, Shyan Ming
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Wearable devices have significantly impacted precision medicine by providing real-time physiological and behavioral data. This data is crucial for accurate disease diagnosis, monitoring, and improved treatment outcomes. Wearable devices enable personalized health management and prevention programs, particularly being beneficial for chronic disease management. Overall, these devices offer more data and technical support for precision medicine, leading to better-individualized health management and treatment and ultimately improving medical outcomes and quality of life. However, the current device binding requires direct identifiers and grants manufacturers ownership of the generated data, limiting user control and raising privacy concerns. To address this, we propose a blockchain-based platform with two distinct blockchains: decentralized identity and physiological data. Users register decentralized identities on the first blockchain, which are then used for device binding on the second blockchain, enabling de-identified data collection. The platform generates user-specific smart contracts on the Physiological Data blockchain and ensures complete user control over data access. This system enhances the privacy, security, and credibility of users' physiological data, instilling confidence in the use of wearable devices.
AB - Wearable devices have significantly impacted precision medicine by providing real-time physiological and behavioral data. This data is crucial for accurate disease diagnosis, monitoring, and improved treatment outcomes. Wearable devices enable personalized health management and prevention programs, particularly being beneficial for chronic disease management. Overall, these devices offer more data and technical support for precision medicine, leading to better-individualized health management and treatment and ultimately improving medical outcomes and quality of life. However, the current device binding requires direct identifiers and grants manufacturers ownership of the generated data, limiting user control and raising privacy concerns. To address this, we propose a blockchain-based platform with two distinct blockchains: decentralized identity and physiological data. Users register decentralized identities on the first blockchain, which are then used for device binding on the second blockchain, enabling de-identified data collection. The platform generates user-specific smart contracts on the Physiological Data blockchain and ensures complete user control over data access. This system enhances the privacy, security, and credibility of users' physiological data, instilling confidence in the use of wearable devices.
KW - blockchain
KW - precision medicine
KW - wearable device
UR - http://www.scopus.com/inward/record.url?scp=85171795505&partnerID=8YFLogxK
U2 - 10.1109/ECBIOS57802.2023.10218560
DO - 10.1109/ECBIOS57802.2023.10218560
M3 - Conference contribution
AN - SCOPUS:85171795505
T3 - 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023
SP - 136
EP - 139
BT - 2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2023
Y2 - 2 June 2023 through 4 June 2023
ER -