Home-Based Pilot Pulmonary Program for Dyspneic Patients Post-COVID-19.

It is estimated that at least 10% of people who have had COVID-19 will experience ongoing symptoms such as shortness of breath, fatigue, and cognitive disturbances. Pulmonary exercise has demonstrated improved dyspnea outcomes in other respiratory conditions. Thus, the purpose of this study was to assess the efficacy of a home-based pulmonary rehabilitation program in post-COVID-19 survivors who continue to experience dyspnea. This was a longitudinal, single group pilot study in which 19 patients received a home-based expiratory muscle strength training program over 12 weeks. Outcomes measured at baseline, 6 weeks, and 12 weeks included pulmonary symptoms, functional performance, thoracic expansion, forced expiratory volume, and expiratory resistance measures. Significant improvements were found in pulmonary symptoms (p < .001), functional performance (p = .014), and progressive expiratory resistance capabilities (p < .001). A home-based pulmonary program may be an inexpensive strategy for post-COVID-19 survivors who continue to experience dyspnea.

Recent trends in telerehabilitation of stroke patients: A narrative review.

BACKGROUND: Stroke is the main reason for disabilities worldwide leading to motor dysfunction, spatial neglect and cognitive problems, aphasia, and other speech-language pathologies, reducing the life quality. To overcome disabilities, telerehabilitation (TR) has been recently introduced. OBJECTIVE: The aim of this review was to analyze current TR approaches for stroke patients' recovery. METHODS: We searched 6 online databases from January 2018 to October 2021, and included 70 research and review papers in the review. We analyzed TR of 995 individuals, which was delivered synchronously and asynchronously. RESULTS: Findings show TR is feasible improving motor function, cognition, speech, and language communication among stroke patients. However, the dose of TR sessions varied significantly. We identified the following limitations: lack of equipment, software, and space for home-based exercises, insufficient internet capacity and speed, unavailability to provide hands on guidance, low digital proficiency and education, high cognitive demand, small samples, data heterogeneity, and no economic evaluation. CONCLUSIONS: The review shows TR is superior or similar to conventional rehabilitation in clinical outcomes and is used as complementary therapy or as alternative treatments. More importantly, TR provides access to rehabilitation services of a large number of patients with immobility, living in remote areas, and during COVID-19 pandemic or similar events.

MAIN FEATURES OF CARDIOVASCULAR REHABILITATION IN POST-ACUTE COVID-19

The COVID-19 pandemic caused by SARSCoV-2 is a significant challenge worldwide. Cornerstones of in-patient management of this pandemic which harms predominantly the respiratory system are the acute and intensive care. However, the rehabilitation plays a key role in improving the functional status and quality of life of survivors and reducing the impact of complications. As estimated, 40-50% of discharged patients require some form of medical support and 4-5% of them require inpatient rehabilitation. In addition to the respiratory system involvement, cardiovascular effects caused by COVID-19 (heart failure and myocarditis, acute coronary syndrome, arrhythmia, venous thromboembolism) are part of the ongoing systemic inflammatory processes and may affect 7-28% of hospitalized patients and lead to long-term deterioration in quality of life and loss of work capacity. Based on available scientific databases, expert consensus and the recommendations of European professional societies, this summary presents the recommended method, conditions and intensity of post-Covid cardiac rehabilitation including physical training exercises. The summary concerns also the recommended conditions for return to work and sporting activities. Structured exercise training is a very important and low-risk component of cardiac rehabilitation, reducing cardiovascular complications, thromboembolic complications, systemic inflammation and mortality, improving functional recovery and endothelial function. The planning of physical training should be preceded by a complex assessment of patients. Assessments of risk, capacity and function are needed to select the intensity, frequency and mode of individualized training. This should be combined with appropriate secondary preventive medication, monitoring, diet therapy and psychotherapy in accordance with respected principle of gradual progression. Finally, the consensus recommendations suggest that home-based and tele-rehabilitation should play a prominent role, considering the epidemiological and capacity constraints that also affect rehabilitation. © 2022 Literatura Medica Publishing House. All rights reserved.

Home-based rehabilitation in patients over 60 with stabilized ankylosing spondylitis during the COVID-19 pandemic.

BACKGROUND: COVID-19 has become a significant healthcare issue, particularly challenging for patients with ankylosing spondylitis (AS), because immune-related diseases and their treatments could adversely affect the susceptibility to or severity of a viral infection. OBJECTIVE: This study is conducted to present an exercise rehabilitation program that patients older than 60 years with AS can do at home during the COVID-19 pandemic. METHODS: Three Delphi surveys were conducted to reach a consensus on home-based rehabilitation programs. This study recruited ten experts and performed three Delphi rounds for a month. RESULTS: The expert panel suggested that home-based rehabilitation for the patients should be carried out with a clear rehabilitation goal. Their final recommendations are to institute a program aimed to ease symptoms, such as pain and stiffness; encourage patients to consult with experts regularly to ensure that they perform exercise rehabilitation properly at home; add fast walking and stretching to the rehabilitation program; and see if indoor cycling, Pilates, or yoga could be appropriate. CONCLUSIONS: This study suggests that patients with AS over 60 should repeat low-intensity exercises, such as stretching, for an hour a day, four to six times a week during the COVID-19 pandemic.

Goal Attainment in an Individually Tailored and Home-Based Intervention in the Chronic Phase after Traumatic Brain Injury.

Traumatic brain injury (TBI) is a heterogeneous condition with long-term consequences for individuals and families. Goal-oriented rehabilitation is often applied, but there is scarce knowledge regarding types of goals and goal attainment. This study describes goal attainment in persons in the chronic phase of TBI who have received an individualized, SMART goal-oriented and home-based intervention, compares goal attainment in different functional domains, and examines indicators of goal attainment. Goal attainment scaling (GAS) was recorded in the intervention group (n = 59) at the final session. The goal attainment was high, with 93.3% increased goal attainment across all goals at the final session. The level of goal attainment was comparable across domains (cognitive, physical/somatic, emotional, social). Gender, anxiety symptoms, self-reported executive dysfunction, and therapy expectations were indicators of goal attainment. These results indicate a potential for the high level of goal attainment in the chronic phase of TBI. Tailoring of rehabilitation to address individual needs for home-dwelling persons with TBI in the chronic phase represents an important area of future research.

Digital habits of pulmonary rehabilitation service-users following the COVID-19 pandemic.

OBJECTIVE: We previously demonstrated low levels of digital literacy amongst pulmonary rehabilitation service-users prior to the COVID-19 pandemic. We aimed to identify whether the pandemic accelerated digital literacy in this population, resulting in greater acceptance of remote web-based pulmonary rehabilitation programme models. METHODS: We surveyed digital access and behaviours and pulmonary rehabilitation delivery preferences of service-users referred to pulmonary rehabilitation in 2021 (cohort 2021) and propensity score-matched them to a cohort who completed the survey in 2020 (cohort 2020). RESULTS: There were indicators that digital access and confidence were better amongst the Cohort 2021 but no difference was seen in the proportion of patients choosing remote web-based pulmonary rehabilitation as an acceptable method of receiving pulmonary rehabilitation. CONCLUSION: In an unselected cohort of service-users, remote web-based pulmonary rehabilitation was considered acceptable in only a minority of patients which has implications on healthcare commissioning and delivery of pulmonary rehabilitation.

Cardiopulmonary Telerehabilitation.

Cardiopulmonary telerehabilitation is a safe and effective alternative to traditional center-based rehabilitation. It offers a sustainable solution to more conveniently meet the needs of patients with acute or chronic, preexisting or newly acquired, cardiopulmonary diseases. To maximize success, programs should prioritize basic, safe, and timely care options over comprehensive or complex approaches. The future should incorporate new strategies learned during a global pandemic and harness the power of information and communication technology to provide evidence-based patient-centered care. This review highlights clinical considerations, current evidence, recommendations, and future directions of cardiopulmonary telerehabilitation.

Robotic Home-Based Rehabilitation Systems Design: From a Literature Review to a Conceptual Framework for Community-Based Remote Therapy During COVID-19 Pandemic.

During the COVID-19 pandemic, the higher susceptibility of post-stroke patients to infection calls for extra safety precautions. Despite the imposed restrictions, early neurorehabilitation cannot be postponed due to its paramount importance for improving motor and functional recovery chances. Utilizing accessible state-of-the-art technologies, home-based rehabilitation devices are proposed as a sustainable solution in the current crisis. In this paper, a comprehensive review on developed home-based rehabilitation technologies of the last 10 years (2011-2020), categorizing them into upper and lower limb devices and considering both commercialized and state-of-the-art realms. Mechatronic, control, and software aspects of the system are discussed to provide a classified roadmap for home-based systems development. Subsequently, a conceptual framework on the development of smart and intelligent community-based home rehabilitation systems based on novel mechatronic technologies is proposed. In this framework, each rehabilitation device acts as an agent in the network, using the internet of things (IoT) technologies, which facilitates learning from the recorded data of the other agents, as well as the tele-supervision of the treatment by an expert. The presented design paradigm based on the above-mentioned leading technologies could lead to the development of promising home rehabilitation systems, which encourage stroke survivors to engage in under-supervised or unsupervised therapeutic activities.

Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study.

BACKGROUND: Recent advancements in wearable sensor technology have shown the feasibility of remote physical therapy at home. In particular, the current COVID-19 pandemic has revealed the need and opportunity of internet-based wearable technology in future health care systems. Previous research has shown the feasibility of human activity recognition technologies for monitoring rehabilitation activities in home environments; however, few comprehensive studies ranging from development to clinical evaluation exist. OBJECTIVE: This study aimed to (1) develop a home-based rehabilitation (HBR) system that can recognize and record the type and frequency of rehabilitation exercises conducted by the user using a smartwatch and smartphone app equipped with a machine learning (ML) algorithm and (2) evaluate the efficacy of the home-based rehabilitation system through a prospective comparative study with chronic stroke survivors. METHODS: The HBR system involves an off-the-shelf smartwatch, a smartphone, and custom-developed apps. A convolutional neural network was used to train the ML algorithm for detecting home exercises. To determine the most accurate way for detecting the type of home exercise, we compared accuracy results with the data sets of personal or total data and accelerometer, gyroscope, or accelerometer combined with gyroscope data. From March 2018 to February 2019, we conducted a clinical study with two groups of stroke survivors. In total, 17 and 6 participants were enrolled for statistical analysis in the HBR group and control group, respectively. To measure clinical outcomes, we performed the Wolf Motor Function Test (WMFT), Fugl-Meyer Assessment of Upper Extremity, grip power test, Beck Depression Inventory, and range of motion (ROM) assessment of the shoulder joint at 0, 6, and 12 months, and at a follow-up assessment 6 weeks after retrieving the HBR system. RESULTS: The ML model created with personal data involving accelerometer combined with gyroscope data (5590/5601, 99.80%) was the most accurate compared with accelerometer (5496/5601, 98.13%) or gyroscope data (5381/5601, 96.07%). In the comparative study, the drop-out rates in the control and HBR groups were 40% (4/10) and 22% (5/22) at 12 weeks and 100% (10/10) and 45% (10/22) at 18 weeks, respectively. The HBR group (n=17) showed a significant improvement in the mean WMFT score (P=.02) and ROM of flexion (P=.004) and internal rotation (P=.001). The control group (n=6) showed a significant change only in shoulder internal rotation (P=.03). CONCLUSIONS: This study found that a home care system using a commercial smartwatch and ML model can facilitate participation in home training and improve the functional score of the WMFT and shoulder ROM of flexion and internal rotation in the treatment of patients with chronic stroke. This strategy can possibly be a cost-effective tool for the home care treatment of stroke survivors in the future. TRIAL REGISTRATION: Clinical Research Information Service KCT0004818; https://tinyurl.com/y92w978t.

Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.

Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically, artificial ambient intelligence with individualisation to support engagement and motivation. Artificial intelligence must also comply with accountability, responsibility, and transparency (ART) requirements for wider acceptability. This paper presents such a patient-centric individualised home-based rehabilitation support system. To this end, the Timed Up and Go (TUG) and Five Time Sit To Stand (FTSTS) tests evaluate daily living activity performance in the presence or development of comorbidities. We present a method for generating synthetic datasets complementing experimental observations and mitigating bias. We present an incremental hybrid machine learning algorithm combining ensemble learning and hybrid stacking using extreme gradient boosted decision trees and k-nearest neighbours to meet individualisation, interpretability, and ART design requirements while maintaining low computation footprint. The model reaches up to 100% accuracy for both FTSTS and TUG in predicting associated patient medical condition, and 100% or 83.13%, respectively, in predicting area of difficulty in the segments of the test. Our results show an improvement of 5% and 15% for FTSTS and TUG tests, respectively, over previous approaches that use intrusive means of monitoring such as cameras.