Remote Online Vital Signs Processing For Patient Monitoring and Diagnosis

2015 ◽  
Vol 2 (1) ◽  
pp. 36-50
Author(s):  
O. Elnahas ◽  
◽  
M. Zahad ◽  
Sabah Ahmed
Keyword(s):  
Patient Monitoring ◽  
Vital Signs ◽  
Monitoring And Diagnosis

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

Patient Monitoring System using Computer Vision for Emotional Recognition and Vital Signs Detection

2020 ◽  
Author(s):  
Ahmad Anwar Zainuddin ◽  
Sakthyvell Superamaniam ◽  
Andrea Christella Andrew ◽  
Ramanand Muraleedharan ◽  
John Rakshys ◽  
...  
Keyword(s):  
Computer Vision ◽  
Monitoring System ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Emotional Recognition ◽  
Patient Monitoring System

scholarly journals Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 776
Author(s):  
Xiaohui Tao ◽  
Thanveer Basha Shaik ◽  
Niall Higgins ◽  
Raj Gururajan ◽  
Xujuan Zhou
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Radio Frequency Identification ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Remote Patient Monitoring ◽  
Rfid Technology ◽  
Rpm System ◽  
Frequency Identification ◽  
Remote Patient

Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient’s daily activities and can enhance the efficiency of healthcare delivery in acute clinical settings. In this study, an RPM system was built using radio frequency identification (RFID) technology for early detection of suicidal behaviour in a hospital-based mental health facility. A range of machine learning models such as Linear Regression, Decision Tree, Random Forest, and XGBoost were investigated to help determine the optimum fixed positions of RFID reader–antennas in a simulated hospital ward. Empirical experiments showed that Decision Tree had the best performance compared to Random Forest and XGBoost models. An Ensemble Learning model was also developed, took advantage of these machine learning models based on their individual performance. The research set a path to analyse dynamic moving RFID tags and builds an RPM system to help retrieve patient vital signs such as heart rate, pulse rate, respiration rate and subtle motions to make this research state-of-the-art in terms of managing acute suicidal and self-harm behaviour in a mental health ward.

scholarly journals Continuous Remote Patient Monitoring Shows Early Cardiovascular Changes in COVID-19 Patients

2021 ◽  
Vol 10 (18) ◽  
pp. 4218
Author(s):  
Arik Eisenkraft ◽  
Yasmin Maor ◽  
Keren Constantini ◽  
Nir Goldstein ◽  
Dean Nachman ◽  
...  
Keyword(s):  
Patient Monitoring ◽  
Vital Signs ◽  
Final Analysis ◽  
Remote Patient Monitoring ◽  
Blood Oxygen Saturation ◽  
Respiratory Parameters ◽  
Significant Difference ◽  
Observational Cohort ◽  
Remote Patient ◽  
Worse Prognosis

COVID-19 exerts deleterious cardiopulmonary effects, leading to a worse prognosis in the most affected. This retrospective multi-center observational cohort study aimed to analyze the trajectories of key vitals amongst hospitalized COVID-19 patients using a chest-patch wearable providing continuous remote patient monitoring of numerous vital signs. The study was conducted in five COVID-19 isolation units. A total of 492 COVID-19 patients were included in the final analysis. Physiological parameters were measured every 15 min. More than 3 million measurements were collected including heart rate, systolic and diastolic blood pressure, cardiac output, cardiac index, systemic vascular resistance, respiratory rate, blood oxygen saturation, and body temperature. Cardiovascular deterioration appeared early after admission and in parallel with changes in the respiratory parameters, showing a significant difference in trajectories within sub-populations at high risk. Early detection of cardiovascular deterioration of COVID-19 patients is achievable when using frequent remote patient monitoring.

Low-power radio telemetry: the potential for remote patient monitoring

1996 ◽  
Vol 2 (4) ◽  
pp. 185-191 ◽  
Author(s):  
W G Scanlon ◽  
N E Evans ◽  
G C Crumley ◽  
Z M Mccreesh
Keyword(s):  
Patient Monitoring ◽  
Radio Telemetry ◽  
Vital Signs ◽  
Clinical Results ◽  
Full Duplex ◽  
Remote Patient Monitoring ◽  
Monitoring Equipment ◽  
Future Developments ◽  
Remote Patient

Radio-based signalling devices will play an important role in future generations of remote patient monitoring equipment, both at home and in hospital. Ultimately, it will be possible to sample vital signs from patients, whatever their location and without them necessarily being aware that a measurement is being taken. This paper reviews current methods for the transmission by radio of physiological parameters over ranges of 0.3, 3 and 30 m, and describes the radiofrequency hardware required and the carrier frequencies commonly used. Future developments, including full duplex systems and the use of more advanced modulation schemes, are described. The paper concludes with a case study of a human temperature telemeter built to indicate ovulation. Clinical results clearly show the advantage to be had in adopting radio biotelemetry in this instance.

An Update on Effective Patient Monitoring and Diagnosis of Diseases in the Current Scenario

2019 ◽  
pp. 199-214
Author(s):  
Sindhu Rajendran ◽  
Meghamadhuri Vakil ◽  
Praveen Kumar Gupta ◽  
Lingayya Hiremath ◽  
S. Narendra Kumar ◽  
...  
Keyword(s):  
Patient Monitoring ◽  
Monitoring And Diagnosis ◽  
Current Scenario ◽  
Diagnosis Of Diseases

scholarly journals Cueing Attention to a Matrix of Values on a Head-Worn Display: Four Studies with a Multiple Patient Monitoring Task

2019 ◽  
Vol 63 (1) ◽  
pp. 1771-1771
Author(s):  
Isaac S. Salisbury ◽  
Tsz-Lok Tang ◽  
Caitlin Browning ◽  
Paul D. Schlosser ◽  
Ismail Mohamed ◽  
...  
Keyword(s):  
Patient Monitoring ◽  
Vital Signs ◽  
High Contrast ◽  
Design Features ◽  
Visual Cue ◽  
Monitoring Task ◽  
Patient Deterioration ◽  
Auditory Alerts ◽  
Multiple Patients

Head-worn displays (HWDs) can help clinicians monitor multiple patients by displaying multiple patients’ vital signs. We conducted four experiments exploring design features that affect how a HWD can quickly and reliably cue attention to patient deterioration. In a series of lab-based experiments, we found that a HWD could quickly and reliably cue participants’ attention with high-contrast visual highlights with two distinct levels, or with a short white flash. However, visual alerts on a HWD did not cue attention as quickly as similar alerts on a conventional screen or auditory alerts. We conclude that HWDs can quickly notify clinicians of patient deterioration when paired with a strong visual cue, but there are perceptual challenges unique to HWDs.

scholarly journals Augmenting Critical Care Patient Monitoring using Wearable Technology: a Technological Review of Usability & Human Factors (Preprint)

2019 ◽  
Author(s):  
Evismar Almeida ◽  
Leo Quinlan ◽  
Richard Harte ◽  
Dara Byrne ◽  
Enda Fallon ◽  
...  
Keyword(s):  
Critical Care ◽  
Human Factors ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Critical Care Patient ◽  
Wearable Devices ◽  
Care Patient ◽  
Alarm System ◽  
Smart Glasses ◽  
Critical Care Patients

BACKGROUND The continuous monitoring of vital signs of critical care patients is extremely important to ensure the patient’s safety. For this, clinicians use a Patient Monitor (PM) device which conveys the patient vital sign data through a screen and an auditory alarm system. These devices have been in use for decades. However, some limitations with PMs have been identified in the literature, for example the need for visual contact with the PM screen, which could cause decreased focus on the patient in certain scenarios, and the amount of noise generated by the alarm system. With the advance of technology, wearable devices have emerged as a potential solution for these problems. This review presents the findings of a number of studies which focus on the usability and human factors of prototype wearable devices to be used in critical care patient monitoring. OBJECTIVE The objective of this work was to review the use of prototype wearable devices by clinicians to monitor vital signs of critical care patients in hospital settings with a focus on the usability and human factors of the devices. METHODS A comprehensive literature search of relevant databases was carried out and this identified 15 relevant studies which were fully analysed by the authors. RESULTS Two types of wearable devices were identified: tactile and head-mounted/smart glasses displays. In most cases, these devices were intended for use by anaesthesiologists, but nurses and surgeons were also identified as potential users of wearable technology. Although the studies with tactile displays revealed a potential to improve clinical monitoring, usability problems related to comfort need to be overcome before they can be considered for use in clinical practice. The studies of head-mounted displays and smart glasses revealed that these devices can be useful from an ergonomics point of view in reducing the number of times the user has to avert their gaze from the patient to a separate screen, thereby increasing focus and reducing potential repetitive strain. CONCLUSIONS Researchers and designers of new wearable prototypes for critical care should strive not only for the enhanced performance of their users, but should also design for the satisfaction of the user, especially in terms of comfort and ease of use. It was found that wearable displays would serve as an accompaniment to the main PM display, and not as replacement.

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