Background: Freezing of gait (FoG) is a complex, frequent, and disabling motor symptom of Parkinson’s disease (PD). Wearable technology has the potential to improve FoG assessment by providing objective, quantitative, and continuous monitoring. Objective: This study aims to develop a robust FoG detection algorithm that can be embedded in a simple and unobtrusive wearable sensor system and can lead to a reliable unsupervised home assessment. Methods: Twenty-two subjects with PD and FoG were enrolled, equipped with four inertial modules on the ankles, back, and wrist, and asked to perform different tasks. Feature-driven and data-driven machine learning approaches were implemented, optimized, and evaluated. Further testing was conducted on two external datasets including a total of 545 FoG episodes. Results: Sixteen subjects experienced FoG, providing a total number of 101 FoG events. Results demonstrated that a single sensor on the ankle, with an adequate algorithm of data analysis based on machine learning, can provide a non-invasive approach for accurate FoG detection. The model proved robust on the independent datasets, with 88–95% FoG episodes correctly detected. Interestingly, while FoG can be easily discriminated from walking, static positions, and postural transitions, turning represents a significant challenge. The high number of false alarms still represents the main limitation of the FoG recognition algorithms. Conclusions: The collected dataset includes data from different sensors at different body positions. This, together with detailed labeling of tasks, activities, FoG episodes and their severity, can be a significant contribution to research on automatic FoG detection and characterization.

(1) Background. People suffering from brain cancer, regardless of histological tumour characteristics, often experience motor disturbances, cognitive–behavioural difficulty, language impairments, and functional and social limitations. The current treatment approach entails surgery and adjuvant therapy such as chemotherapy and radiotherapy combined with intensive rehabilitation. The primary focus of rehabilitation is usually motor and functional recovery, without specifically addressing the patient’s quality of life. The present systematic review identifies and evaluates the predictors of functional and cognitive rehabilitation outcomes and their influence on quality of life in adult patients with brain cancer. (2) Methods. Three electronic databases (PubMed, Elsevier, Cochrane) were searched for reviews about functional, cognitive, and quality-of-life outcomes in patients with central nervous system tumours, including articles published between January 2018 and May 2024. (3) Results. The search retrieved 399 records, 40 of which were reviewed. Five main areas of predictive factors were identified: diagnosis, therapy, complications, outcomes (in the motor, cognitive, and quality-of-life categories), and tailored rehabilitation. (4) Conclusions. These indicators may inform integrated care pathways for patients with primary central nervous system tumours.

Chronic Ataxic Neuropathy with anti-Disialosyl IgM Antibodies (CANDA) is a rare form of immune-mediated sensory ataxic neuropathy. We describe the case of a 45-year-old man, who was diagnosed with CANDA in October 2018. Since then, he has been treated with monthly courses of intravenous immunoglobulin administration (IV Ig) and, in October 2022, he underwent plasmapheresis, reporting a sudden worsening of clinical and motor picture. After a new IV Ig cycle admission, the patient was hospitalized to perform intensive rehabilitation, involving two individual sessions per day (90 minutes each) for 5 days a week. During hospitalization it was registered a relevant improvement in the muscle strength of the lower limbs (LLs). Furthermore, progressive improvements were recorded both in patient's motor performance and in his level of autonomy in activities of daily living. These results had a positive impact on his quality of life and made it possible to reduce the frequency of IV Ig treatments. This is the first case in literature reporting the combined effect of rehabilitation treatment and medical therapy in CANDA neuropathy.