An ecologically-controlled exoskeleton can improve balance recovery after slippage

• Published in: Scientific reports Vol. 7; no. 1; p. 46721
• Main Authors: Monaco, V., Tropea, P., Aprigliano, F., Martelli, D., Parri, A., Cortese, M., Molino-Lova, R., Vitiello, N., Micera, S.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 11.05.2017; Nature Publishing Group
• Subjects: 639/166/985; 692/700/784; Accidental Falls - prevention & control; Aged; Amputation; Amputees - rehabilitation; Autonomy; Balance; Design; Exoskeleton; Falls; Geriatrics; Humanities and Social Sciences; Humans; Kinematics; Lower Extremity - physiopathology; Lower Extremity - surgery; Male; Middle Aged; multidisciplinary; Older people; Orthotic Devices; Pelvis; Postural Balance - physiology; Quality of Life; Real time; Recovery of Function; Robotics; Science; Walking - physiology
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/srep46721

The evolution to bipedalism forced humans to develop suitable strategies for dynamically controlling their balance, ensuring stability, and preventing falling. The natural aging process and traumatic events such as lower-limb loss can alter the human ability to control stability significantly increasing the risk of fall and reducing the overall autonomy. Accordingly, there is an urgent need, from both end-users and society, for novel solutions that can counteract the lack of balance, thus preventing falls among older and fragile citizens. In this study, we show a novel ecological approach relying on a wearable robotic device (the Active Pelvis Orthosis, APO) aimed at facilitating balance recovery after unexpected slippages. Specifically, if the APO detects signs of balance loss, then it supplies counteracting torques at the hips to assist balance recovery. Experimental tests conducted on eight elderly persons and two transfemoral amputees revealed that stability against falls improved due to the “assisting when needed” behavior of the APO. Interestingly, our approach required a very limited personalization for each subject, and this makes it promising for real-life applications. Our findings demonstrate the potential of closed-loop controlled wearable robots to assist elderly and disabled subjects and to improve their quality of life.