A Smart Stretcher and Integrated Medical Intelligence System Model for Unconscious Person

2020 ◽  
pp. 236-241
Author(s):  
Aiswarya M ◽  
Ramkumar Prabhu
Keyword(s):  
Primary Care ◽  
Intensive Care Unit ◽  
Information Technology ◽  
Heart Rate ◽  
Intensive Care ◽  
System Model ◽  
Police Station ◽  
Intelligence System ◽  
Manpower Requirement

The integration of health information technology into primary care includes a variety of electronic methods. This can improve the quality of care which makes the process quicker. The purpose of this project is to highlight the main features of an intelligent stretcher and a system of monitoring crucial signs of unconscious person. Arduino is the selected device for information processing which collectively obtains the heart rate and respiratory rate of the patient, updating directly to the intensive care unit via IoT. This further updates the biometric details to the police station informing about the accident. This system is developed by using affordable technology and merging different function to offer an expedient solution. Additionally, the stretcher is provided with automatic moving mechanism under the guidance of one person which reduces manpower requirement.

scholarly journals An exploratory data quality analysis of time series physiologic signals using a large-scale intensive care unit database

JAMIA Open ◽  
2021 ◽  
Vol 4 (3) ◽  
Author(s):  
Ali S Afshar ◽  
Yijun Li ◽  
Zixu Chen ◽  
Yuxuan Chen ◽  
Jae Hun Lee ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Intensive Care Unit ◽  
Heart Rate ◽  
Time Series ◽  
Intensive Care ◽  
Data Quality ◽  
Vital Signs ◽  
Data Set ◽  
Mimic Iii

Abstract Physiological data, such as heart rate and blood pressure, are critical to clinical decision-making in the intensive care unit (ICU). Vital signs data, which are available from electronic health records, can be used to diagnose and predict important clinical outcomes; While there have been some reports on the data quality of nurse-verified vital sign data, little has been reported on the data quality of higher frequency time-series vital signs acquired in ICUs, that would enable such predictive modeling. In this study, we assessed the data quality issues, defined as the completeness, accuracy, and timeliness, of minute-by-minute time series vital signs data within the MIMIC-III data set, captured from 16009 patient-ICU stays and corresponding to 9410 unique adult patients. We measured data quality of four time-series vital signs data streams in the MIMIC-III data set: heart rate (HR), respiratory rate (RR), blood oxygen saturation (SpO2), and arterial blood pressure (ABP). Approximately, 30% of patient-ICU stays did not have at least 1 min of data during the time-frame of the ICU stay for HR, RR, and SpO2. The percentage of patient-ICU stays that did not have at least 1 min of ABP data was ∼56%. We observed ∼80% coverage of the total duration of the ICU stay for HR, RR, and SpO2. Finally, only 12.5%%, 9.9%, 7.5%, and 4.4% of ICU lengths of stay had ≥ 99% data available for HR, RR, SpO2, and ABP, respectively, that would meet the three data quality requirements we looked into in this study. Our findings on data completeness, accuracy, and timeliness have important implications for data scientists and informatics researchers who use time series vital signs data to develop predictive models of ICU outcomes.

scholarly journals Characterisation of Textile Embedded Electrodes for Use in a Neonatal Smart Mattress Electrocardiography System

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 999
Author(s):  
Henry Dore ◽  
Rodrigo Aviles-Espinosa ◽  
Zhenhua Luo ◽  
Oana Anton ◽  
Heike Rabe ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Heart Rate ◽  
Intensive Care ◽  
High Resolution ◽  
Neonatal Intensive Care Unit ◽  
Real Time ◽  
Neonatal Intensive Care ◽  
Delivery Room ◽  
Proof Of Concept ◽  
Heart Rate Monitoring

Heart rate monitoring is the predominant quantitative health indicator of a newborn in the delivery room. A rapid and accurate heart rate measurement is vital during the first minutes after birth. Clinical recommendations suggest that electrocardiogram (ECG) monitoring should be widely adopted in the neonatal intensive care unit to reduce infant mortality and improve long term health outcomes in births that require intervention. Novel non-contact electrocardiogram sensors can reduce the time from birth to heart rate reading as well as providing unobtrusive and continuous monitoring during intervention. In this work we report the design and development of a solution to provide high resolution, real time electrocardiogram data to the clinicians within the delivery room using non-contact electric potential sensors embedded in a neonatal intensive care unit mattress. A real-time high-resolution electrocardiogram acquisition solution based on a low power embedded system was developed and textile embedded electrodes were fabricated and characterised. Proof of concept tests were carried out on simulated and human cardiac signals, producing electrocardiograms suitable for the calculation of heart rate having an accuracy within ±1 beat per minute using a test ECG signal, ECG recordings from a human volunteer with a correlation coefficient of ~ 87% proved accurate beat to beat morphology reproduction of the waveform without morphological alterations and a time from application to heart rate display below 6 s. This provides evidence that flexible non-contact textile-based electrodes can be embedded in wearable devices for assisting births through heart rate monitoring and serves as a proof of concept for a complete neonate electrocardiogram monitoring system.

scholarly journals Families' perception, knowledge, and psychological stressors associated with transition of care from the intensive care unit

2019 ◽  
Vol 2 (1) ◽  
pp. 53-56
Author(s):  
Gustavo Ferrer ◽  
Chi Chan Lee ◽  
Monica Egozcue ◽  
Hector Vazquez ◽  
Melissa Elizee ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Health Care Providers ◽  
Family Members ◽  
Expected Improvement ◽  
Transition Of Care ◽  
Care Providers ◽  
Icu Discharge ◽  
Family Perceptions

Background: During the process of transition of care from the intensive care setting, clarity, and understanding are vital to a patient's outcome. A successful transition of care requires collaboration between health-care providers and the patient's family. The objective of this project was to assess the quality of continuity of care with regard to family perceptions, education provided, and psychological stress during the process. Methods: A prospective study conducted in a long-term acute care (LTAC) facility. On admission, family members of individuals admitted to the LTAC were asked to fill out a 15-item questionnaire with regard to their experiences from preceding intensive care unit (ICU) hospitalization. The setting was an LTAC facility. Patients were admitted to an LTAC after ICU admission. Results: Seventy-six participants completed the questionnaire: 38% expected a complete recovery, 61% expected improvement with disabilities, and 1.3% expected no recovery. With regard to the length of stay in the LTAC, 11% expected < 1 week, 26% expected 1 to 2 weeks, 21% expected 3 to 4 weeks, and 42% were not sure. Before ICU discharge, 33% of the participants expected the transfer to the LTAC. Also, 72% did not report a satisfactory level of knowledge regarding their family's clinical condition or medical services required; 21% did not receive help from family members; and 50% reported anxiety, 20% reported depression, and 29% reported insomnia. Conclusion: Families' perception of patients' prognosis and disposition can be different from what was communicated by the physician. Families' anxiety and emotional stress may precipitate this discrepancy. The establishment of optimal projects to eliminate communication barriers and educate family members will undoubtedly improve the quality of transition of care from the ICU.

Effect of earplugs and eye masks on the sleep quality of intensive care unit patients: A systematic review and meta‐analysis

2021 ◽  
Author(s):  
Chiu‐Shu Fang ◽  
Hsiu‐Hung Wang ◽  
Ruey‐Hsia Wang ◽  
Fan‐Hao Chou ◽  
Shih‐Lun Chang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Sleep Quality ◽  
Meta Analysis

Transition from an Open Bay to a Private Room Neonatal Intensive Care Unit Design — A Human Factors Evaluation

2005 ◽  
Vol 49 (11) ◽  
pp. 974-978 ◽  
Author(s):  
Thomas J. Smith ◽  
Sandra Clayton ◽  
Kathleen Schoenbeck
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Human Factors ◽  
Neonatal Intensive Care Unit ◽  
Patient Care ◽  
Neonatal Intensive Care ◽  
Patient Care Team ◽  
Care Staff ◽  
Care Technology

This report summarizes findings from a human factors evaluation of a change in the design of a neonatal intensive care unit (NICU) from an open bay (OBNICU) to a private room (PRNICU) patient care environment. The objective was to compare and contrast effects of this design change on the perceptions and performance of NICU patient care staff. Results indicate that, relative to work on the OBNICU, staff perceived that work on the PRNICU resulted in notable improvements in the quality of physical environmental conditions, their jobs, patient care and patient safety, interaction with parents of NICU patients, interaction with patient care technology and their life off-the-job. In contrast, staff perceived that the quality of interaction among different members of the NICU patient care team worsened substantially after the move to the PRNICU. The latter finding prompted the recommendation that a virtual open bay environment be implemented in the PRNICU.

Quality of palliative care in intensive care unit “X” Hospital Indonesia

2020 ◽  
Vol 30 ◽  
pp. 16-19
Author(s):  
Ifa Hafifah ◽  
Syamsul Arifin ◽  
Dhemes Alin ◽  
Isnawati
Keyword(s):  
Intensive Care Unit ◽  
Palliative Care ◽  
Intensive Care
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