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1.
Asia Pac J Oncol Nurs ; 9(8): 100072, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35692730

ABSTRACT

Objective: Home-based chemotherapy is widely used and offers advantages in terms of patient-centeredness, hospital capacity, and cost-effectiveness. However, in practice, patients experience difficulties with self-management and handling the elastomeric infuser. In this study, we aimed to explore the experiences of patients undergoing home-based chemotherapy based on patients' and nurses' perspectives. Additionally, we aimed to identify patients' unmet needs. Methods: A qualitative descriptive study was conducted in a tertiary hospital in South Korea. Ten patients undergoing home-based chemotherapy and ten nurses with experience in home-based chemotherapy participated. Data were collected by using semi-structured individual interviews and analyzed by using inductive content analysis. Results: Four main categories were identified based on the interviews: (1) ambivalence regarding comfort vs. enduring the discomfort, (2) acceptance of the discomfort as a part of them, (3) the need for more precise, numerical measurements, and (4) the realization that they need similar hands-on care at home as in a hospital. Conclusions: Although patients were satisfied with home-based chemotherapy, they were enduring the difficulties they experienced at home alone. Nurses should make an effort to identify patient needs and devise tailored nursing interventions to improve their safety.

2.
Sensors (Basel) ; 20(24)2020 Dec 21.
Article in English | MEDLINE | ID: mdl-33371295

ABSTRACT

This study describe the characteristics of hemiplegic stroke gait with principal component analysis (PCA) of trunk movement (TM) and gait event (GE) parameters by the inertial measurement unit (IMU) sensors: (1) Background: This process can determine dominant variables through multivariate examination to identify the affected, unaffected, and healthy lower-limb sides; (2) Methods: The study monitored forty patients with stroke and twenty-eight healthy individuals comprising the control group for comparison. The IMU sensors were attached to each subject while performing a 6 m walking test. Sixteen variables extracted from the measured data were divided into 7 GE and 9 TM variables explaining pelvis tilt, oblique, and rotation. (3) Results: The tilt range variables of the trunk movement on the affected and unaffected sides were lower than those of the healthy side; this showed between-group differences in various GE variables. For the healthy and affected sides, 80% of variances were explained with 2 or 3 PCs involving only a few dominant variables; and (4) Conclusions: The difference between each side leg should be considered during the development of a diagnosis method. This research can be utilized to develop functional assessment tools for personalized treatment and to design appropriate training protocols.


Subject(s)
Gait Analysis , Gait Disorders, Neurologic/diagnosis , Hemiplegia/diagnosis , Monitoring, Physiologic/instrumentation , Stroke , Torso , Aged , Biomechanical Phenomena , Female , Humans , Male , Middle Aged , Pelvis , Principal Component Analysis , Stroke/complications , Stroke/diagnosis
4.
ACS Nano ; 12(5): 4259-4268, 2018 05 22.
Article in English | MEDLINE | ID: mdl-29617111

ABSTRACT

Highly stretchable fiber strain sensors are one of the most important components for various applications in wearable electronics, electronic textiles, and biomedical electronics. Herein, we present a facile approach for fabricating highly stretchable and sensitive fiber strain sensors by embedding Ag nanoparticles into a stretchable fiber with a multifilament structure. The multifilament structure and Ag-rich shells of the fiber strain sensor enable the sensor to simultaneously achieve both a high sensitivity and largely wide sensing range despite its simple fabrication process and components. The fiber strain sensor simultaneously exhibits ultrahigh gauge factors (∼9.3 × 105 and ∼659 in the first stretching and subsequent stretching, respectively), a very broad strain-sensing range (450 and 200% for the first and subsequent stretching, respectively), and high durability for more than 10 000 stretching cycles. The fiber strain sensors can also be readily integrated into a glove to control a hand robot and effectively applied to monitor the large volume expansion of a balloon and a pig bladder for an artificial bladder system, thereby demonstrating the potential of the fiber strain sensors as candidates for electronic textiles, wearable electronics, and biomedical engineering.


Subject(s)
Biocompatible Materials/chemistry , Electronics , Fiber Optic Technology , Optical Fibers , Textiles , Animals , Biomedical Engineering , Cell Line , Mice , Silver/chemistry , Swine
5.
Sensors (Basel) ; 18(4)2018 Mar 28.
Article in English | MEDLINE | ID: mdl-29597283

ABSTRACT

The electrocardiogram (ECG) waveform conveys information regarding the electrical property of the heart. The patterns vary depending on the individual heart characteristics. ECG features can be potentially used for biometric recognition. This study presents a new method using the entire ECG waveform pattern for matching and demonstrates that the approach can potentially be employed for individual biometric identification. Multi-cycle ECG signals were assessed using an ECG measuring circuit, and three electrodes can be patched on the wrists or fingers for considering various measurements. For biometric identification, our-fold cross validation was used in the experiments for assessing how the results of a statistical analysis will generalize to an independent data set. Four different pattern matching algorithms, i.e., cosine similarity, cross correlation, city block distance, and Euclidean distances, were tested to compare the individual identification performances with a single channel of ECG signal (3-wire ECG). To evaluate the pattern matching for biometric identification, the ECG recordings for each subject were partitioned into training and test set. The suggested method obtained a maximum performance of 89.9% accuracy with two heartbeats of ECG signals measured on the wrist and 93.3% accuracy with three heartbeats for 55 subjects. The performance rate with ECG signals measured on the fingers improved up to 99.3% with two heartbeats and 100% with three heartbeats of signals for 20 subjects.


Subject(s)
Biometric Identification , Algorithms , Electrocardiography , Heart Rate , Humans , Signal Processing, Computer-Assisted
6.
Small ; 13(43)2017 11.
Article in English | MEDLINE | ID: mdl-28524361

ABSTRACT

Fabrication strategies that pursue "simplicity" for the production process and "functionality" for a device, in general, are mutually exclusive. Therefore, strategies that are less expensive, less equipment-intensive, and consequently, more accessible to researchers for the realization of omnipresent electronics are required. Here, this study presents a conceptually different approach that utilizes the inartificial design of the surface roughness of paper to realize a capacitive pressure sensor with high performance compared with sensors produced using costly microfabrication processes. This study utilizes a writing activity with a pencil and paper, which enables the construction of a fundamental capacitor that can be used as a flexible capacitive pressure sensor with high pressure sensitivity and short response time and that it can be inexpensively fabricated over large areas. Furthermore, the paper-based pressure sensors are integrated into a fully functional 3D touch-pad device, which is a step toward the realization of omnipresent electronics.

7.
Article in English | MEDLINE | ID: mdl-22323929

ABSTRACT

The aim of this study was to examine the roles of care helpers through job analysis. To do this, this study used the Developing A Curriculum Method (DACUM) to classify job content and a multi-dimensional study design was applied to identify roles and create a job description by looking into the appropriateness, significance, frequency, and difficulty of job content as identified through workshops and cross-sectional surveys conducted for appropriateness verification. A total of 418 care helpers working in nursing facilities and community senior service facilities across the country were surveyed. The collected data were analyzed using PASW 18.0 software. Six duties and 18 tasks were identified based on the job model. Most tasks were found to be "important task", scoring 4.0 points or above. Physical care duties, elimination care, position changing and movement assistance, feeding assistance, and safety care were identified as high frequency tasks. The most difficult tasks were emergency prevention, early detection, and speedy reporting. A summary of the job of care helpers is providing physical, emotional, housekeeping, and daily activity assistance to elderly patients with problems in independently undertaking daily activities due to physical or mental causes in long-term care facilities or at the client's home. The results of this study suggest a task-focused examination, optimizing the content of the current standard teaching materials authorized by the Ministry of Health and Welfare while supplementing some content which was identified as task elements but not included in the current teaching materials and fully reflecting the actual frequency and difficulty of tasks.

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