Gait analysis has many applications, and specifically can improve the control of prosthesis, exoskeletons, or Functional Electrical Stimulation systems. The use of canes is common to complement the assistance in these cases, and the synergy between upper and lower limbs can be exploited to obtain information about the gait. This is interesting especially in the case of unilateral assistance, for instance in the case of one side lower limb exoskeletons. If the cane is instrumented, it can hold sensors that otherwise should be attached to the body of the impaired user. This can ease the use of the assistive system in daily life as well as its acceptance. Moreover, Force Sensing Resistors (FSRs) are common in gait phase detection systems, and force sensors are also common in user intention detection. Therefore, a cane that incorporates FSRs on the handle can take advantage from the direct interface with the human and provide valuable information to implement real-time control. This is done in this paper, and the results confirm that many events are detected from variables derived from the readings of the FSRs that provide rich information about gait. However, a large inter-subject variability points to the need of tailored control systems.
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http://dx.doi.org/10.3390/s21165632 | DOI Listing |
Sci Rep
December 2024
Department of General Surgery, The Affiliated People's Hospital of Jiangsu University, 8 Dianli Road, Zhenjiang, 212002, Jiangsu, China.
Impaired nutritional status is closely related to the development of sarcopenia and poor quality of life (QoL) in cancer patients. This study aimed to investigate the association of Geriatric Nutritional Risk Index (GNRI) with sarcopenia and QoL in patients with gastric cancer (GC). Sarcopenia was diagnosed based on the Asian Working Group for Sarcopenia 2019 criteria.
View Article and Find Full Text PDFCerebellum
December 2024
Department of Neurology, International University of Health and Welfare Mita Hospital, Mita 1-4-3, Minato-ku, Tokyo, 108-8329, Japan.
Variants in KIF1A are associated with hereditary spastic paraplegia (SPG30), which can manifest in both pure and complex forms. We describe a Japanese family with a novel KIF1A variant presenting with a complex form of SPG30. Patient 1, a 69-year-old woman, experienced progressive gait disturbance due to spastic paraparesis and cerebellar atrophy, and intellectual disability.
View Article and Find Full Text PDFSports (Basel)
December 2024
Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE 19716, USA.
Purposeful heading, in which players may use their heads to advance the ball in play, is a unique part of soccer. Clinical outcome measures used to aid in the diagnosis of a concussion have long been a cornerstone of the contemporary measurements associated with the short- and long-term effects of monitoring repetitive head impacts (RHI) and soccer heading exposure. The effects of RHI in the youth population are still unknown, therefore, the purpose of this study was to examine if heading exposure is predictive of changes in self-reported symptoms, neurocognitive functioning, gait, and balance in female youth soccer players over the course of one soccer season.
View Article and Find Full Text PDFJ Funct Morphol Kinesiol
December 2024
Bioengineering, Tissues and Neuroplasticity, UR 7377, Faculty of Health/EPISEN, University of Paris-Est Créteil, 94010 Créteil, France.
Objectives: To compare the effects of explosive and strength resistance training on neuromuscular and functional parameters in older adults and to analyze the relationship between changes in walking speed and improvements in plantar flexor (PF) neuromuscular parameters following interventions.
Methods: In total, 40 participants were randomly assigned to either an explosive resistance training group (EXG, n = 18; age = 80.41 ± 10.
J Imaging
December 2024
Department of Mechatronics Engineering, Universidad Católica Boliviana "San Pablo", La Paz 4807, Bolivia.
Computer vision-based gait recognition (CVGR) is a technology that has gained considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to-conceal nature. Beyond its applications in biometrics, CVGR holds significant potential for healthcare and human-computer interaction. Current CVGR systems often transmit collected data to a cloud server for machine learning-based gait pattern recognition.
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