Background: Gait abnormalities are a hallmark of Parkinson's disease and contribute to falling risk. As disease symptoms progress, assistive devices are often prescribed. However, there are no guidelines for choosing appropriate ambulatory devices for gait impairment.Objective: To review the scientific evidence on assistive devices for gait impairment in Parkinson's disease.Methods: We performed a systematic literature review for articles relating to parkinsonian gait impairment and assistive devices. We assessed the studies’ methodological quality and risk of bias using the PEDro scale.Results: Seventeen articles were reviewed. Four articles (23.53%) showed that canes and standard and two‐wheeled walkers without visual cues decreased gait speed and stride length, with no significant effects on freezing of gait or falls. Instead, improvements were observed with the use of visual [seven articles (41.18%)] and auditory cues [three articles (17.65%)], including decreased number of freezing episodes and increased stride length.Conclusions: Although assistive devices seem to improve confidence, there is still limited information about the efficacy of assistive devices on gait parameters and functional disability in Parkinson's disease. Further, longitudinal, multicenter, randomized, blinded, and controlled studies using assistive devices in a free‐living context are required to provide the best scientific evidence

Breast cancer-related lymphedema (BCRL) of the upper limb is a very common condition in women undergoing breast cancer treatment; it can cause considerable alterations in the daily life of patients and a decrease in their health-related quality of life (HRQoL). Currently, there are many conservative therapies that try to palliate the symptoms, but the results are still controversial and there are still no globally accepted treatments. The purpose of this article is to determine the effect, according to the current available evidence, on HRQoL of different conservative interventions in the rehabilitation of BCRL in the upper limb in women. Eighteen articles that compared the effects of standard treatments, such as manual lymphatic drainage-based decongestive therapy or compression measures, and other newer treatments, including new technologies and other types of treatment programs, were reviewed. According to the results of this review, the most recommended modality for the improvement of HRQoL would be a complex decongestive technique without manual lymphatic drainage. Although there are clinical trials that have demonstrated the effectiveness of various treatments, the results of the positive effects on HRQoL remain highly controversial. There is a need to continue to develop studies to help guide therapeutic decisions that can promote HRQoL in women affected by upper limb BCRL.

Parkinson’s disease (PD) is a progressive neurodegenerative disorder whose prevalence has steadily been rising over the years. Specialist neurologists across the world assess and diagnose patients with PD, although the diagnostic process is time-consuming and various symptoms take years to appear, which means that the diagnosis is prone to human error. The partial automatization of PD assessment and diagnosis through computational processes has therefore been considered for some time. One well-known tool for PD assessment is finger tapping (FT), which can now be assessed through computer vision (CV). Artificial intelligence and related advances over recent decades, more specifically in the area of CV, have made it possible to develop computer systems that can help specialists assess and diagnose PD. The aim of this study is to review some advances related to CV techniques and FT so as to offer insight into future research lines that technological advances are now opening up.

The interaction between frailty and Parkinson's disease (PD) is still unknown. This study aimed to study the effectiveness of a multidisciplinary telemedicine program in reducing frailty in Parkinson's disease. Longitudinal, randomized, case-control study. All participants in the office were evaluated at baseline, four, and eight months (V0, V1, and V2). Patients included in the telemedicine program received additional multidisciplinary care with nurse, neurologist, and occupational therapist interventions from V0 to V1. PD motor, non-motor symptoms, frailty and health-related quality of life (HR-QoL) were assessed using recommended PD rating scales. Fifty patients were included, 25 patients in the telemedicine group, and 25 patients in the control group. Frailty was highly correlated with performance in activities of daily living, and freezing of gait, balance, gait speed, and motor impairment, moderately correlated with hand grip strength, number of daily steps, and HR-QoL, and slightly correlated with age and level of physical fatigue. Frailty was reduced in the telemedicine group, compared to the control group, from V0 to V1 (p = .0001) and from V0 to V2 (p = .007). In addition, gait freezing, balance, gait speed, fatigue, non-motor symptoms, and HR-QoL were also improved in the telemedicine group (p values < .05). By leveraging multidisciplinary telemedicine interventions in addition to in-office visits, healthcare providers can deliver patient-centric care, improving frailty, non-motor symptoms, gait impairment, and quality of life in Parkinson's disease. These hybrid interventions could solve current barriers to health systems with limited capacity.

The consolidation of telerehabilitation for the treatment of many diseases over the last decades is a consequence of its cost-effective results and its ability to offer access to rehabilitation in remote areas. Telerehabilitation operates over a distance, so vulnerable patients are never exposed to unnecessary risks. Despite its low cost, the need for a professional to assess therapeutic exercises and proper corporal movements online should also be mentioned. The focus of this paper is on a telerehabilitation system for patients suffering from Parkinson’s disease in remote villages and other less accessible locations. A full-stack is presented using big data frameworks that facilitate communication between the patient and the occupational therapist, the recording of each session, and real-time skeleton identification using artificial intelligence techniques. Big data technologies are used to process the numerous videos that are generated during the course of treating simultaneous patients. Moreover, the skeleton of each patient can be estimated using deep neural networks for automated evaluation of corporal exercises, which is of immense help to the therapists in charge of the treatment programs.

Accelerometers can estimate the intensity, frequency, and duration of physical activity in healthy adults. Although thresholds to distinguish varying levels of activity intensity using the Actigraph wGT3X-B have been established for the general population, their accuracy for Huntington’s disease (HD) is unknown. We aimed to define and cross-validate accelerometer cut-points for different walking speeds in adults with mild to moderate HD. A cross-sectional, multicentre, case-control, observational study was conducted with a convenience sample of 13 symptomatic ambulatory HD participants. The accelerometer was placed around the right hip, and a heart monitor was fitted around the chest to monitor heart rate variability. Participants walked on a treadmill at three speeds with light, moderate and vigorous intensities. Correlation and receiver operation curve analyses were performed between the accelerometer magnitude vector with relative oxygen and heart rate. Optimal cut-points for walking speeds of 3.2 km/h were ≤2852; 5.2 km/h: >2852 to ≤4117, and in increments until their maximum velocity: >4117. Our results support the application of the disease-specific cut-points for quantifying physical activity in patients with mild to moderate HD and promoting healthy lifestyle interventions.