Knowledge, Attitude, and Practice of Physiotherapists about Cardiac Rehabilitation Program Adherence among Patients Discharged from the Hospital after Cardiac Surgery in India.

Background: In most settings, patients receive phase 1 cardiac rehabilitation in CTVS ICU at the hospital, but there are several barriers to follow-up after patients are discharged from the hospital. Physiotherapists play an important role in the enrolment and continuation of cardiac rehabilitation. Thus, we aim to study the knowledge, attitude, and practice of physiotherapists about CR program adherence among patients discharged from the hospital after cardiac surgery. Objectives: (i) To study the knowledge of physiotherapists about the importance of cardiac rehabilitation after discharge; (ii) to know the attitude of physiotherapists towards cardiac surgery patients after discharge; and (iii) to know what approach various centres are applying for patients after discharge to ensure adherence to cardiac rehabilitation. Methods: A questionnaire was developed with reference to the objectives of the study, which was answered by a total of 127 physiotherapists. Results: The overall response rate was 42.3%; nearly 35.4% of the participants indicated that they knew a lot about CR, while 5.5% said they knew very little. Regarding the program's content, 36.2% of participants reported having a medium degree of awareness of the diverse CR components, while 8.6% reported having very little knowledge of them. Only about one-third, 35.7% stated that CR in India is effective and 95% believed that CR will have an added value for the country. Approximately 80% of respondents thought that it would be challenging for a physiotherapist to recommend patients to a CR in the nation. Nearly 35% of respondents believed that they, "themselves as physios," needed to commence CR, and slightly less than 70% thought that doctors were required to choose and refer the patients when asked who should take the initiative to start this kind of programme in the country. A little over 40% of respondents said that insurance firms are also involved in starting a CR programme. Conclusion: Physiotherapists have good knowledge of cardiac rehabilitation. However, their attitude and practice towards adherence to exercise protocols are confounded by various clinician- and patient-level factors.

Effectiveness of Inspiratory Muscle Training on Respiratory Muscle Strength in Patients Undergoing Cardiac Surgeries: A Systematic Review With Meta-Analysis

To determine the effect of inspiratory muscle training (IMT) on pulmonary function, respiratory muscle strength (RMS), and functional capacity in patients undergoing cardiac surgery. The PubMed, PEDro, CINAHL, Web of Science, CENTRAL, and EMBASE databases were searched from inception to June 2020. Randomized controlled trials (RCTs) that evaluated patients who underwent cardiac surgery were included in this review. Meta-analysis performed using a random-effects model showed that the mean difference in forced vital capacity, forced expiratory volume in 1 second, 6-minute walk distance, and RMS was 3.47% (95% confidence interval [CI], 0.57 to 6.36), 5.80% (95% CI, 2.03 to 9.56), 78.05 m (95% CI, 60.92 to 95.18), and 4.8 cmH2O (95% CI, -4.00 to 13.4), respectively. There is strong evidence that IMT improves inspiratory muscle strength, pulmonary function, and functional capacity, and reduces the length of hospital stay in patients undergoing cardiac surgery.

Effectiveness of Inspiratory Muscle Training on Respiratory Muscle Strength in Patients Undergoing Cardiac Surgeries: A Systematic Review With Meta-Analysis

To determine the effect of inspiratory muscle training (IMT) on pulmonary function, respiratory muscle strength (RMS), and functional capacity in patients undergoing cardiac surgery. The PubMed, PEDro, CINAHL, Web of Science, CENTRAL, and EMBASE databases were searched from inception to June 2020. Randomized controlled trials (RCTs) that evaluated patients who underwent cardiac surgery were included in this review. Meta-analysis performed using a random-effects model showed that the mean difference in forced vital capacity, forced expiratory volume in 1 second, 6-minute walk distance, and RMS was 3.47% (95% confidence interval [CI], 0.57 to 6.36), 5.80% (95% CI, 2.03 to 9.56), 78.05 m (95% CI, 60.92 to 95.18), and 4.8 cmH2O (95% CI, -4.00 to 13.4), respectively. There is strong evidence that IMT improves inspiratory muscle strength, pulmonary function, and functional capacity, and reduces the length of hospital stay in patients undergoing cardiac surgery.

Effectiveness of inspiratory muscle training (IMT) on pulmonary function and functional capacity in chronic smoker's v/s non-smokers patients undergoing open abdominal surgery - A study protocol.

BACKGROUND: Abdominal surgeries are performed for the treatment and diagnosis of many diseases. Smokers undergoing abdominal surgery, are high risk population, having underlying pathological changes in lung parenchyma due to inflammatory effect of smoking. Site of incision and history of smoking may significantly affect pulmonary function such as FVC and FEV1. Respiratory muscle training pre-operatively has shown significant improvement of pulmonary function compare to only conventional therapy and has led to reduction of PPCs, length of hospital stay and cost. This study aims to find effectiveness of IMT in chronic smokers undergoing abdominal surgery and its significance in reduction of PPC and in pulmonary function and functional capacity as compared to non-smokers. METHODOLOGY: This study protocol is observational cohort study comparing smoker and non-smoker participants undergoing abdominal surgery. The participants will be assessed for pulmonary function test and functional capacity (6MWD); pre-operatively and post-operatively day 1 till the day of discharge. Both the groups will receive IMT and conventional chest Physiotherapy from POD1 and increment of IMT will be done by assessing MIP each day. DISSEMINATION: We plan to publish this review in a peer-reviewed journal. We may also present this review at local and/or national conferences.

Atrial fibrillation classification using deep learning algorithm in Internet of Things-based smart healthcare system.

Detecting the electrocardiogram pattern in Internet of Things-based healthcare system and notifying this to the user is a challenging task. Using advance computing methods for classification of electrocardiogram signal is a notable research topic. In this research work, an intelligent electrocardiogram signal classification, employing deep learning algorithm, developed and tested in Internet of Things-based smart healthcare system was proposed. For classification of acquired electrocardiogram signal, a partitioned deep convolutional neural network was proposed. The electrocardiogram feature continuously in the Internet of Things-based monitoring system was learnt. To make use of learned features in the continuous time series data, it forms a higher order space in the server. We have made quantifiable comparative analysis with other classification algorithm with the same time series data collected from different atrial fibrillation samples in the Internet of Things-based e-health system. Our proposed algorithm learned features were tested in atrial fibrillation classified signal with other conventional classifiers with various performance indices. We obtained an accuracy of 96.3 percent with 93.5-percent sensitivity and 97.5-percent precision. From the obtained result, processing with proposed deep convolutional neural network provides reliable timely assist and accurate classification of electrocardiogram signal in Internet of Things-based smart healthcare system.

Privacy Protection of Patient Medical Images using Digital Watermarking Technique for E-healthcare System.

BACKGROUND: Privacy protection has been a critical issue in the delivery of medical images for telemedicine, e-health care and other remote medical systems. OBJECTIVES: The aim of this proposed work is to implement a secure, reversible, digital watermarking technique for the transmission of medical data remotely in health care systems. METHODS: In this research work, we employed a novel optimized digital watermarking scheme using discrete wavelet transform and singular value decomposition using cuckoo search algorithm based on Lévy flight for embedding watermark into the grayscale medical images of the patient. The performance of our proposed algorithm is evaluated on four different 256 × 256 grayscale host medical images and a 32 × 32 binary logo image. RESULTS: The performance of the proposed scheme in terms of peak signal to noise ratio was remarkably high, with an average of 55.022dB compared to other methods. CONCLUSION: Experimental results reveal that the proposed method is capable of achieving superior performance compared to some of the state-of-art schemes in terms of robustness, security and high embedding capacity which is required in the field of telemedicine and e-health care system.

Bilateral spontaneous salivary otorrhoea: Case report and a review of the literature.

Spontaneous salivary otorrhoea is an extremely rare clinical entity. Most of the times, salivary otorrhoea results from various forms of trauma. It has also been attributed to the patent foramen of Huschke, and fissures of Santorini. Here, we present a rare case of an 8 year old child presenting with salivary discharge from both the ears. The diagnosis was established on the basis of biochemical and radiological investigations. The patient was managed by surgical exploration and ligation of the fistulous tract.

Gunshot Injury with Facial Palsy: An Unusual Case.

As the use of firearms has become increasingly common in the civilian society, the incidences of homicidal as well as suicidal firearm injury have increased several folds. We here present an interesting case of celebratory firing which accidently caused injury in the head & neck region and an unusual trajectory adopted by the bullet which prevented a fatal outcome.