Change in positive affect during outpatient cardiac rehabilitation predicts vital exhaustion in patients with coronary heart disease

Vital exhaustion is an acknowledged psychosocial risk factor of incident coronary heart disease (CHD) and recurrent CHD events. Little is known about trajectories in vital exhaustion in patients with CHD and the factors predicting this change. We hypothesized that vital exhaustion would decrease during outpatient cardiac rehabilitation and that an increase in positive affect over time would be associated with decreased vital exhaustion at discharge from cardiac rehabilitation. We also explored the role of the patient's sex in this context. Vital exhaustion was reduced during outpatient cardiac rehabilitation, especially in patients who experienced an increase in positive affect over time (p < .001). This relationship was significant in men (p < .001) but not in women (p = .11).

Estimating the patient's contribution during robot-assisted therapy

Robot-assisted therapy has become increasingly common in neurorehabilitation. Sophisticated controllers have been developed for robots to assist and cooperate with the patient. It is difficult for the patient to judge to what extent the robot contributes to the execution of a movement. Therefore, methods to comprehensively quantify the patient's contribution and provide feedback are of key importance. We developed a method comprehensively to estimate the patient's contribution by combining kinematic measures and the motor assistance applied. Inverse dynamic models of the robot and the passive human arm calculate the required torques to move the robot and the arm and build, together with the recorded motor torque, a metric (in percentage) that represents the patient's contribution to the movement. To evaluate the developed metric, 12 nondisabled subjects and 7 patients with neurological problems simulated instructed movement contributions. The results are compared with a common performance metric. The estimation shows very satisfying results for both groups, even though the arm model used was strongly simplified. Displaying this metric to patients during therapy can potentially motivate them to actively participate in the training.

ARMin: a robot for patient-cooperative arm therapy

Task-oriented, repetitive and intensive arm training can enhance arm rehabilitation in patients with paralyzed upper extremities due to lesions of the central nervous system. There is evidence that the training duration is a key factor for the therapy progress. Robot-supported therapy can improve the rehabilitation allowing more intensive training. This paper presents the kinematics, the control and the therapy modes of the arm therapy robot ARMin. It is a haptic display with semi-exoskeleton kinematics with four active and two passive degrees of freedom. Equipped with position, force and torque sensors the device can deliver patient-cooperative arm therapy taking into account the activity of the patient and supporting him/her only as much as needed. The haptic display is combined with an audiovisual display that is used to present the movement and the movement task to the patient. It is assumed that the patient-cooperative therapy approach combined with a multimodal display can increase the patient's motivation and activity and, therefore, the therapeutic progress.

ARMin - robot for rehabilitation of the upper extremities

Task-oriented repetitive movements can improve motor recovery in patients with neurological or orthopaedic lesions. The application of robotics can serve to assist, enhance, evaluate, and document neurological and orthopaedic rehabilitation. ARMin is a new robot for arm therapy applicable to the training of activities of daily living in clinics. ARMin has a semiexoskeletal structure with six degrees of freedom, and is equipped with position and force sensors. The mechanical structure, the actuators and the sensors of the robot are optimized for patient-cooperative control strategies based on impedance and admittance architectures. This paper describes the mechanical structure, the control system, the sensors and actuators, safety aspects and results of a first pilot study with hemiplegic and spinal cord injured subjects.

Clinical primary flexor tendon repair and rehabilitation: The Bern Experience

In this chapter we present our experience with treatment of zone 2 flexor tendon repair using a six-strand repair technique combined with postoperative place-and-hold exercise. The six-strand Lim/Tsai repair technique combined with place-and-hold exercises demonstrated better digital function compared to a two-strand repair without place-and-hold exercises. Range of motion in the Lim/Tsai repair group appeared to be increased without a higher rate of ruptures but with a shorter rehabilitation period. The fact that the two groups differed in both suture techniques and rehabilitation programs made it impossible to know whether the better results in the group of Lim/Tsai were due to the six-strand repair or the place-and-hold exercises or both. Despite the obvious benefit of early active mobilization, an active motion protocol may not always be possible to apply in a substantial number of patients due to concomitant injuries, the quality of the surgical repair or patient factors (swelling, pain, limited compliance). Since August 2006 a staged rehabilitation program (“stop and go”) was introduced within our unit using early active controlled flexion (green), place-and-hold (yellow), or passive flexion exercises (red) introduced by Kleinert-Duran. Our experience using the six-strand suture repair technique and “stop and go” is outlined.

Immediate implant placement in mandible and prosthetic rehabilitation by means of all-zirconium oxide restorations: case report of a woman with a history of periodontitis.

Owing to its single surgical intervention, immediate implant placement has the advantage of shortening treatment time, and thus positively affects patient morbidity. According to the bone resorption pattern after tooth extraction, bone loss should be anticipated if immediate implant placement is considered. The present case report aims to present a possible treatment option and to demonstrate that a partially edentulous arch may be rehabilitated esthetically by immediate implant placement and by corresponding anticipatory measures.

Complementary passive hydrotherapy WATSU (WaterShiatsu) in the rehabilitation of a severely traumatized accident survivor – A prospective case report

Introduction: The implementation of complementary and alternative therapies into conventional treatment schemes is gaining popularity. However, their use is widely depending on patients’ drive. This case-report focuses on a patient’s experience of the integration of WATSU (WaterShiatsu) in rehabilitative care. Methods: Patient: A 52 year old woman survived a severe motorcycle-accident in which she sustained several fractures on the right side of her body, including ribs, pelvis, and femur. After discharge from stationary care, she independently added WATSU to her rehabilitative regimen. Treatment approach: WATSU is a passive form of hydrotherapy in warm water that aims at relaxation, pain relief, and a sense of secureness. In the reported case, an experienced WATSU-therapist who is also trained in physiotherapy and psychosomatics delivered weekly sessions of one hour duration. Measures used: Qualitative data were collected by patient’s diary. Also the therapist’s notes including The Patient Specific Functional Scale (PSFS) were considered. Results: The patient associated WATSU with trunk mobilization (followed by ameliorated breath), reconciliation with her body, and emotional discharge. She ascribed WATSU lasting effects on her body-image. The therapist employed WATSU for careful mobilization and to equalize awareness throughout the body. The PSFS displayed continuous improvement in all categories except usage of public transportation. Due to complications (elevated inflammation markers) only 6 of 8 scheduled sessions were administered. Conclusions: WATSU was experienced helpful in approaching conditions that are difficult to address by conventional physiotherapy. In early rehabilitation, additional medical/physiotherapeutic skills of contributing complementary therapists are advocated.

Comparison of patients in three different rehabilitation settings after knee or hip arthroplasty: a natural observational, prospective study.

BACKGROUND Patients after primary hip or knee replacement surgery can benefit from postoperative treatment in terms of improvement of independence in ambulation, transfers, range of motion and muscle strength. After discharge from hospital, patients are referred to different treatment destination and modalities: intensive inpatient rehabilitation (IR), cure (medically prescribed stay at a convalescence center), or ambulatory treatment (AT) at home. The purpose of this study was to 1) measure functional health (primary outcome) and function relevant factors in patients with hip or knee arthroplasty and to compare them in relation to three postoperative management strategies: AT, Cure and IR and 2) compare the post-operative changes in patient's health status (between preoperative and the 6 month follow-up) for three rehabilitation settings. METHODS Natural observational, prospective two-center study with follow-up. Sociodemographic data and functional mobility tests, Timed Up and Go (TUG) and Iowa Level of Assistance Scale (ILOAS) of 201 patients were analysed before arthroplasty and at the end of acute hospital stay (mean duration of stay: 9.7 days +/- 3.9). Changes in health state were measured with the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) before and 6 months after arthroplasty. RESULTS Compared to patients referred for IR and Cure, patients referred for AT were significantly younger and less comorbid. Patients admitted to IR had the highest functional disability before arthroplasty. Before rehabilitation, mean TUG was 40.0 s in the IR group, 33.9 s in the Cure group, and 27.5 s in the AT group, and corresponding mean ILOAS was 16.0, 13.0 and 12.2 (50.0 = worst). At the 6 months follow-up, the corresponding effect sizes of the WOMAC global score were 1.32, 1.87, and 1.51 (>0 means improvement). CONCLUSIONS Age, comorbidity and functional disability are associated with referral for intensive inpatient rehabilitation after hip or knee arthroplasty and partly affect health changes after rehabilitation.

Evaluation of the relationship between nutrition and functional independence measures among stroke patients undergoing inpatient rehabilitation

Cerebrovascular accidents (CVA) or strokes are now the third leading cause of death in the United States. Many who suffer strokes are admitted to rehabilitation centers in order to receive therapy to help rebuild and recovery function. Nutrition plays a significant role in rehabilitation patient outcomes, and is an essential part of comprehensive care. The purpose of this study is to determine if nutrition and diet consistency are directly and independently associated with changes in the Functional Independence Measure (FIM) scores in stroke patients in an acute rehabilitation unit. This study was a retrospective secondary analysis review of medical chart records, and included a total of 84 patients. Patients were divided into groups based on their admission diet: Regular, Dysphagia Advanced, Dysphagia Mechanically Altered, Dysphagia Pureed, and Nutrition Support. Measurements included admission and discharge Total, Motor, and Cognitive FIM scores; BMI, albumin and prealbumin; age, sex, and race. Patients did show a significant improvement in their FIM scores during their stay, with patients on Regular diets having the highest FIM scores. Patients who were more debilitated and had lower FIM scores were usually in one of the altered texture diet groups, or on nutrition support. Prealbumin and BMI were also the highest in patients who had high FIM scores. Patients who were admitted on an altered diet also tended to advance in their diets, which show improvement in overall function. It is crucial to continue to improve nutrition administration to this population to help prevent morbidity and mortality. Proper nutrition in the acute phase of stroke can lay the essential groundwork for recovery.^

Data mining applied to the cognitive rehabilitation of patients with acquired brain injury

Acquired brain injury (ABI) is one of the leading causes of death and disability in the world and is associated with high health care costs as a result of the acute treatment and long term rehabilitation involved. Different algorithms and methods have been proposed to predict the effectiveness of rehabilitation programs. In general, research has focused on predicting the overall improvement of patients with ABI. The purpose of this study is the novel application of data mining (DM) techniques to predict the outcomes of cognitive rehabilitation in patients with ABI. We generate three predictive models that allow us to obtain new knowledge to evaluate and improve the effectiveness of the cognitive rehabilitation process. Decision tree (DT), multilayer perceptron (MLP) and general regression neural network (GRNN) have been used to construct the prediction models. 10-fold cross validation was carried out in order to test the algorithms, using the Institut Guttmann Neurorehabilitation Hospital (IG) patients database. Performance of the models was tested through specificity, sensitivity and accuracy analysis and confusion matrix analysis. The experimental results obtained by DT are clearly superior with a prediction average accuracy of 90.38%, while MLP and GRRN obtained a 78.7% and 75.96%, respectively. This study allows to increase the knowledge about the contributing factors of an ABI patient recovery and to estimate treatment efficacy in individual patients.

Artificial metaplasticity prediction model for cognitive rehabilitation outcome in acquired brain injury patients

Objective The main purpose of this research is the novel use of artificial metaplasticity on multilayer perceptron (AMMLP) as a data mining tool for prediction the outcome of patients with acquired brain injury (ABI) after cognitive rehabilitation. The final goal aims at increasing knowledge in the field of rehabilitation theory based on cognitive affectation. Methods and materials The data set used in this study contains records belonging to 123 ABI patients with moderate to severe cognitive affectation (according to Glasgow Coma Scale) that underwent rehabilitation at Institut Guttmann Neurorehabilitation Hospital (IG) using the tele-rehabilitation platform PREVIRNEC©. The variables included in the analysis comprise the neuropsychological initial evaluation of the patient (cognitive affectation profile), the results of the rehabilitation tasks performed by the patient in PREVIRNEC© and the outcome of the patient after a 3–5 months treatment. To achieve the treatment outcome prediction, we apply and compare three different data mining techniques: the AMMLP model, a backpropagation neural network (BPNN) and a C4.5 decision tree. Results The prediction performance of the models was measured by ten-fold cross validation and several architectures were tested. The results obtained by the AMMLP model are clearly superior, with an average predictive performance of 91.56%. BPNN and C4.5 models have a prediction average accuracy of 80.18% and 89.91% respectively. The best single AMMLP model provided a specificity of 92.38%, a sensitivity of 91.76% and a prediction accuracy of 92.07%. Conclusions The proposed prediction model presented in this study allows to increase the knowledge about the contributing factors of an ABI patient recovery and to estimate treatment efficacy in individual patients. The ability to predict treatment outcomes may provide new insights toward improving effectiveness and creating personalized therapeutic interventions based on clinical evidence.

A novel motion tracking system for evaluation of functional rehabilitation of the upper limbs

Upper limb function impairment is one of the most common sequelae of central nervous system injury, especially in stroke patients and when spinal cord injury produces tetraplegia. Conventional assessment methods cannot provide objective evaluation of patient performance and the tiveness of therapies. The most common assessment tools are based on rating scales, which are inefficient when measuring small changes and can yield subjective bias. In this study, we designed an inertial sensor-based monitoring system composed of five sensors to measure and analyze the complex movements of the upper limbs, which are common in activities of daily living. We developed a kinematic model with nine degrees of freedom to analyze upper limb and head movements in three dimensions. This system was then validated using a commercial optoelectronic system. These findings suggest that an inertial sensor-based motion tracking system can be used in patients who have upper limb impairment through data integration with a virtual reality-based neuroretation system.

A data-globe and immersive virtual reality environment for upper limb rehabilitation after spinal cord injury

While a number of virtual data-gloves have been used in stroke, there is little evidence about their use in spinal cord injury (SCI). A pilot clinical experience with nine SCI subjects was performed comparing two groups: one carried out a virtual rehabilitation training based on the use of a data glove, CyberTouch combined with traditional rehabilitation, during 30 minutes a day twice a week along two weeks; while the other made only conventional rehabilitation. Furthermore, two functional indexes were developed in order to assess the patient’s performance of the sessions: normalized trajectory lengths and repeatability. While differences between groups were not statistically significant, the data-glove group seemed to obtain better results in the muscle balance and functional parameters, and in the dexterity, coordination and fine grip tests. Related to the indexes that we implemented, normalized trajectory lengths and repeatability, every patient showed an improvement in at least one of the indexes, either along Y-axis trajectory or Z-axis trajectory. This study might be a step in investigating new ways of treatments and objective measures in order to obtain more accurate data about the patient’s evolution, allowing the clinicians to develop rehabilitation treatments, adapted to the abilities and needs of the patients.

Improving brain injury cognitive rehabilitation by personalized telerehabilitation services: Guttmann neuropersonal trainer

Cognitive rehabilitation aims to remediate or alleviate the cognitive deficits appearing after an episode of acquired brain injury (ABI). The purpose of this work is to describe the telerehabilitation platform called Guttmann Neuropersonal Trainer (GNPT) which provides new strategies for cognitive rehabilitation, improving efficiency and access to treatments, and to increase knowledge generation from the process. A cognitive rehabilitation process has been modeled to design and develop the system, which allows neuropsychologists to configure and schedule rehabilitation sessions, consisting of set of personalized computerized cognitive exercises grounded on neuroscience and plasticity principles. It provides remote continuous monitoring of patient's performance, by an asynchronous communication strategy. An automatic knowledge extraction method has been used to implement a decision support system, improving treatment customization. GNPT has been implemented in 27 rehabilitation centers and in 83 patients' homes, facilitating the access to the treatment. In total, 1660 patients have been treated. Usability and cost analysis methodologies have been applied to measure the efficiency in real clinical environments. The usability evaluation reveals a system usability score higher than 70 for all target users. The cost efficiency study results show a relation of 1-20 compared to face-to-face rehabilitation. GNPT enables brain-damaged patients to continue and further extend rehabilitation beyond the hospital, improving the efficiency of the rehabilitation process. It allows customized therapeutic plans, providing information to further development of clinical practice guidelines.

MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction

Clinicians could model the brain injury of a patient through his brain activity. However, how this model is defined and how it changes when the patient is recovering are questions yet unanswered. In this paper, the use of MedVir framework is proposed with the aim of answering these questions. Based on complex data mining techniques, this provides not only the differentiation between TBI patients and control subjects (with a 72% of accuracy using 0.632 Bootstrap validation), but also the ability to detect whether a patient may recover or not, and all of that in a quick and easy way through a visualization technique which allows interaction.