Highly comparative time series analysis (HCTSA) is a novel approach involving massive feature extraction using publicly available code from many disciplines. The Prematurity-Related Ventilatory Control (Pre-Vent) observational multicenter prospective study collected bedside monitor data from>700extremely preterm infants to identify physiologic features that predict respiratory outcomes..
View Article and Find Full Text PDFObjective: Highly comparative time series analysis (HCTSA) is a novel approach involving massive feature extraction using publicly available code from many disciplines. The Prematurity-Related Ventilatory Control (Pre-Vent) observational multicenter prospective study collected bedside monitor data from > 700 extremely preterm infants to identify physiologic features that predict respiratory outcomes. We calculated a subset of 33 HCTSA features on > 7 10-minute windows of oxygen saturation (SPO2) and heart rate (HR) from the Pre-Vent cohort to quantify predictive performance.
View Article and Find Full Text PDFBackground: In extremely preterm infants, persistence of cardioventilatory events is associated with long-term morbidity. Therefore, the objective was to characterize physiologic growth curves of apnea, periodic breathing, intermittent hypoxemia, and bradycardia in extremely preterm infants during the first few months of life.
Methods: The Prematurity-Related Ventilatory Control study included 717 preterm infants <29 weeks gestation.
Background Home-based cardiac rehabilitation (HBCR) and traditional facility-based cardiac rehabilitation (CR) programs have similar effects on mortality in clinical trials and meta-analyses. However, the effect of HBCR on mortality in clinical practice settings is less clear. Therefore, we sought to compare mortality rates in HBCR participants versus nonparticipants.
View Article and Find Full Text PDFSpatiotemporal parameters of gait serve as an important biomarker to monitor gait impairments as well as to develop rehabilitation systems. In this work, we developed a computationally-efficient algorithm (SDI-Step) that uses segmented double integration to calculate step length and step time from wearable inertial measurement units (IMUs) and assessed its ability to reliably and accurately measure spatiotemporal gait parameters. Two data sets that included simultaneous measurements from wearable sensors and from a laboratory-based system were used in the assessment.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2020
At present, the vast majority of human subjects with neurological disease are still diagnosed through in-person assessments and qualitative analysis of patient data. In this paper, we propose to use Topological Data Analysis (TDA) together with machine learning tools to automate the process of Parkinson's disease classification and severity assessment. An automated, stable, and accurate method to evaluate Parkinson's would be significant in streamlining diagnoses of patients and providing families more time for corrective measures.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2020
Application and use of deep learning algorithms for different healthcare applications is gaining interest at a steady pace. However, use of such algorithms can prove to be challenging as they require large amounts of training data that capture different possible variations. This makes it difficult to use them in a clinical setting since in most health applications researchers often have to work with limited data.
View Article and Find Full Text PDFBackground: Advancements in early detection and treatment of cancer have led to increased survival rates and greater need to identify effective supportive care options for resolving symptoms of survivorship. Many non-pharmacological approaches to symptom management during and after cancer treatment involve emotional self-regulation as a central strategy for improving well-being. Identifying commonalities among these strategies' mechanisms of action may facilitate understanding of what might be useful for optimizing intervention effects.
View Article and Find Full Text PDFThe main motor impairments of gait and balance experienced by people with Parkinson's disease (PD) contribute to a sedentary lifestyle, resulting in poor physical conditioning, loss of functional independence, and reduced quality of life. Despite the known benefits of physical activity in PD, the majority of older adults with PD are insufficiently active. Few studies incorporate behavioral change approaches to promoting physical activity in PD.
View Article and Find Full Text PDFImportance: Participation in cardiac rehabilitation (CR) programs at Veterans Affairs (VA) facilities is low. Most veterans receive CR through purchased care at non-VA programs. However, limited literature exists on the comparison of outcomes between VA and non-VA CR programs.
View Article and Find Full Text PDFProgressive gait dysfunction is one of the primary motor symptoms in people with Parkinson's disease (PD). It is generally expressed as reduced step length and gait speed and as increased variability in step time and step length. People with PD also exhibit stooped posture which disrupts gait and impedes social interaction.
View Article and Find Full Text PDFBackground: Mobility in Parkinson's disease (PD) is restricted due to impairments in gait and postural control. Although typical dance-based movement programs are beneficial in PD, many did not improve gait which may be due to the nature of the training, limited data, or both. Moreover, the investigation of the effects of a dance program specifically designed for people with PD is scarce.
View Article and Find Full Text PDFBackground Mental health conditions are associated with adverse cardiovascular outcomes in patients with ischemic heart disease, and much of this risk can be attributed to poor health behaviors. Although all patients with ischemic heart disease should be referred for cardiac rehabilitation (CR), whether patients with mental health conditions are willing to participate in CR programs is unknown. We sought to compare CR participation rates among patients with ischemic heart disease with versus without comorbid depression and/or posttraumatic stress disorder (PTSD).
View Article and Find Full Text PDFBackground: We sought to determine the leading causes of cardiovascular (CV) hospitalization, and to describe and compare national rates of CV hospitalization by age, gender, race, ethnicity, region, and year, among U.S. veterans.
View Article and Find Full Text PDFThis study examines whether implementing new home-based cardiac rehabilitation programs is associated with cardiac rehabilitation participation in the Veterans Health Administration.
View Article and Find Full Text PDFA home-based cardiac rehabilitation program improves access and enrollment by using an evidence-based alternative model of care.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
August 2016
In this paper, we propose a computational framework using high-dimensional shape descriptors of reconstructed attractors of center-of-pressure (CoP) tracings collected from subjects with Parkinson's disease while performing dynamical posture shifts, to quantitatively assess balance impairment. Using a dataset collected from 60 subjects, we demonstrated that the proposed method outperforms traditional methods, such as dynamical shift indices and use of chaotic invariants, in assessment of balance impairment.
View Article and Find Full Text PDFObjective: To evaluate the effects of 12-week polestriding intervention on gait and disease severity in people with mild to moderate Parkinson disease (PD).
Design: A-B-A withdrawal study design.
Setting: Outpatient movement disorder center and community facility.
IEEE J Biomed Health Inform
November 2015
For people with Parkinson's disease (PD), gait and postural impairments can significantly affect their ability to perform activities of daily living. Presentation of appropriate cues has been shown to improve gait in PD. Based on this, a treadmill-based system and experimental paradigm were developed to determine if people with PD can utilize real-time feedback (RTFB) of step length or back angle (uprightness) to improve gait and posture.
View Article and Find Full Text PDFWe previously reported that patients with tremor preponderant Parkinson disease (PD) displayed upward or lateral displacement of their more tremulous finger when they pointed both their index fingers at a target and closed their eyes for 15 seconds. In this study, we examined the phenomenon in 104 PD patients: 72 patients without tremor and 32 with minimal tremor to see if the displacement is related to the disease or the tremor. Sixty-eight of the 72 patients without tremor, 94%, exhibited finger displacement suggesting the phenomenon is related to the disease.
View Article and Find Full Text PDFAlthough, the tremor of Parkinson's disease (PD) usually, but not always, differs from essential tremor (ET), there is no simple bedside test to distinguish PD from ET. We believe we have made such an observation. We studied 50 consecutive tremor-dominant PD patients (mean age: 63.
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