Reach-to-grasp (RG) actions have been recently studied to evaluate action planning and how intentions in performing a movement modify its kinematics. Studying the kinematics of these action sequences can point out important information on motor planning and control in several pathologies, including neurodegenerative diseases. Currently, RG analysis is mainly based on optoelectronic systems, which provide accurate movement tracking but are time-consuming, expensive and limited to some constrained research spaces. In this study, SensRing, a ring-shaped wearable system has been proposed to record inertial data in an easy and non-invasive way. A reach-to-grasp protocol was applied in a population of 20 healthy young controls (HYC) and 19 healthy older controls (HOC) where subjects were instructed to reach towards and grasp a can to drink (DRINK), to place it on a cup (IND) or to pass it to another partner (SOC). Results indicate that motor patterns are sensitive to experimental conditions. Precisely, SensRing can differentiate similar actions that differ for end-goals (DRINK vs IND/SOC) or for social intentions (IND vs SOC). Moreover, HOC kinematic patterns significantly differ from HYC; this shows the potentiality of SensRing to explore age-related changes in kinematics of RG actions and it provides the ability to extend these studies on patients with neurodegenerative pathologies that can have impairments in motor planning or social interaction.
SensRing, a wearable ring-shaped device for measuring kinematics in reach-to-grasp tasks / Galperti G.; Rovini E.; Fiorini L.; Mancioppi G.; Zeghari R.; Gros A.; Manera V.; Cavallo F.. - ELETTRONICO. - (2020), pp. 285-288. ( 7th National Congress of Bioengineering, GNB 2020 ita 2020).
SensRing, a wearable ring-shaped device for measuring kinematics in reach-to-grasp tasks
Rovini E.;Fiorini L.;Mancioppi G.;Cavallo F.
2020
Abstract
Reach-to-grasp (RG) actions have been recently studied to evaluate action planning and how intentions in performing a movement modify its kinematics. Studying the kinematics of these action sequences can point out important information on motor planning and control in several pathologies, including neurodegenerative diseases. Currently, RG analysis is mainly based on optoelectronic systems, which provide accurate movement tracking but are time-consuming, expensive and limited to some constrained research spaces. In this study, SensRing, a ring-shaped wearable system has been proposed to record inertial data in an easy and non-invasive way. A reach-to-grasp protocol was applied in a population of 20 healthy young controls (HYC) and 19 healthy older controls (HOC) where subjects were instructed to reach towards and grasp a can to drink (DRINK), to place it on a cup (IND) or to pass it to another partner (SOC). Results indicate that motor patterns are sensitive to experimental conditions. Precisely, SensRing can differentiate similar actions that differ for end-goals (DRINK vs IND/SOC) or for social intentions (IND vs SOC). Moreover, HOC kinematic patterns significantly differ from HYC; this shows the potentiality of SensRing to explore age-related changes in kinematics of RG actions and it provides the ability to extend these studies on patients with neurodegenerative pathologies that can have impairments in motor planning or social interaction.
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