| Summary: | Spasticity is a common clinical complication after stroke is conventionally assessed using qualitative methods, leading to inter and intra-rater variability. This paper presents the development and evaluation of the Upper Limb Spasticity Measurement Device (ULSMeD), a portable device designed to assist clinicians in quantitatively measuring upper limb spasticity based on the Modified Ashworth Scale (MAS). ULSMeD integrates force and angle sensors with Internet of Things (IoT) connectivity, enabling real-time measurements and data visualization through a mobile phone user interface. The device enhances clinical decision-making by providing objective spasticity measurements and reducing variability. Experimental validation against commercial electro-goniometer and myometer demonstrated positive strong correlations (angle r=0.965 and force r=0.987) for slow assessment and (angle r=0.720 and force r=0.884) for fast assessment. The ULSMeD represents a significant advancement in objective spasticity assessment, empowering clinicians with a reliable and user-friendly tool for upper limb spasticity measurement. © 2024 IEEE.
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