It is important for patients to have access to the health information they generate, for them to be actively engaged in their own healthcare. This is relevant to Kinect-based post-stroke rehabilitation systems; as such there is a need to review the literature based on person-generated management and utilisation. Previous systematic reviews on Kinect for stroke rehabilitation have not used this as part of their criteria. This systematic review fills that gap. Person-generated health data (PGHD) are health, wellness and clinical data that people generate, record and analyse for themselves [1]. While PGHD's importance for individuals or patients have yet to be conceptually defined, it is well known that when patients understand their illness, they become active problem solvers and improve their health behaviour, e.g., people will stop smoking when they personally see the connection between that and an illness they are experiencing [2]. It is therefore important for patients to have access to the health information they generate. This is relevant to post-stroke rehabilitation systems using body-tracking technology Kinect, which have been developed as a response to the need for the effective home-based rehabilitation that requires less professional and financial resources [3-5] because such systems generate patient-relevant data. There is therefore a need to review the literature on Kinect-based stroke rehabilitation to understand if and how person-generated data are managed and utilised. Previous systematic reviews [3-5] have focused on describing the intervention, methodologies and results, and have not given attention to person-generated data management.
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