Smart Technology for Non Invasive Biomedical Sensors to Measure Physiological Parameters

2018 ◽  
pp. 749-778
Author(s):  
K Rajasekaran ◽  
Anitha Mary Xavier ◽  
R Jegan

Communication and Information technologies are transforming our lifestyles, social interactions, and workplaces. One of the promising applications of the information and communication technology is healthcare and wellness management. Advancement in electronic health care and mobile have made doctors and patients to involve the modern healthcare system by extending the capabilities of physiological monitoring devices. Various biomedical sensors are being used to measure the physiological parameters like pulse rate, blood glucose level, blood pressure etc., Among various bio-sensor, Researchers from different field of science are particularly and increasingly interested in Photoplethysmography (PPG) signals. This chapter addresses the importance of bio sensors and its principle, significance of remote monitoring of PPG signal using Radio Frequency (RF) and design challenges in RF connectivity. Also this chapter presents a reliable low power wireless transmission mechanism of biomedical signals which works on narrow band RF frequencies.

Author(s):  
K Rajasekaran ◽  
Anitha Mary Xavier ◽  
R Jegan

Communication and Information technologies are transforming our lifestyles, social interactions, and workplaces. One of the promising applications of the information and communication technology is healthcare and wellness management. Advancement in electronic health care and mobile have made doctors and patients to involve the modern healthcare system by extending the capabilities of physiological monitoring devices. Various biomedical sensors are being used to measure the physiological parameters like pulse rate, blood glucose level, blood pressure etc., Among various bio-sensor, Researchers from different field of science are particularly and increasingly interested in Photoplethysmography (PPG) signals. This chapter addresses the importance of bio sensors and its principle, significance of remote monitoring of PPG signal using Radio Frequency (RF) and design challenges in RF connectivity. Also this chapter presents a reliable low power wireless transmission mechanism of biomedical signals which works on narrow band RF frequencies.


2017 ◽  
Vol 37 (5) ◽  
pp. 576-578 ◽  
Author(s):  
Susie Q. Lew ◽  
Neal Sikka ◽  
Clinton Thompson ◽  
Teena Cherian ◽  
Manya Magnus

We examined participant uptake and utilization of remote monitoring devices, and the relationship between remote biometric monitoring (RBM) of weight (Wt) and blood pressure (BP) with self-monitoring requirements. Participants on peritoneal dialysis (PD) (n = 269) participated in a Telehealth pilot study of which 253 used remote monitoring of BP and 255 for Wt. Blood pressure and Wt readings were transmitted in real time to a Telehealth call center, which were then forwarded to the PD nurses for real-time review. Uptake of RBM was substantial, with 89.7% accepting RBM, generating 74,266 BP and 52,880 Wt measurements over the study period. We found no significant correlates of RBM uptake with regard to gender, marital, educational, socio-economic or employment status, or baseline experience with computers; frequency of use of BP RBM by Black participants was less than non-Black participants, as was Wt RBM, and participants over 55 years old were more likely to use the Wt RBM than their younger counterparts. Having any review of the breach by a nurse was associated with reduced odds of a subsequent BP breach after adjusting for sex, age, and race. Remote biometric monitoring was associated with adherence to self-monitoring BP and Wt requirements associated with PD. Remote biometric monitoring was feasible, allowing for increased communication between patient and PD clinical staff with real-time patient data for providers to act on to potentially improve adherence and outcomes.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259559
Author(s):  
Ryan P. Sixtus ◽  
Cholawat Pacharinsak ◽  
Clint L. Gray ◽  
Mary J. Berry ◽  
Rebecca M. Dyson

Background Non-invasive physiological monitoring can induce stress in laboratory animals. Sedation reduces the level of restraint required, thereby improving the validity of physiological signals measured. However, sedatives may alter physiological equilibrium introducing unintended bias and/or, masking the experimental outcomes of interest. We aimed to investigate the cardiorespiratory effects of four short-acting sedatives in juvenile guinea pigs. Method 12 healthy, 38 (26–46) day-old Dunkin Hartley guinea pigs were included in this blinded, randomised, crossover design study. Animals were sedated by intramuscular injection using pre-established minimum effective doses of either alfaxalone (5 mg/kg), diazepam (5 mg/kg), ketamine (30 mg/kg), or midazolam (2 mg/kg) administered in random order with a minimum washout period of 48 hours between agents. Sedative depth, a composite score comprised of five assessment criteria, was observed every 5-min from dosing until arousal. Physiological monitoring of cardiorespiratory status included measures of heart rate, blood pressure, respiratory rate, and peripheral microvascular perfusion. Results Ketamine and alfaxalone were most effective in inducing stable sedation suitable for physiological monitoring, and diazepam less-so. Midazolam was unsuitable due to excessive hypersensitivity. All sedatives significantly increased heart rate above non-sedated control rates (P<0.0001), without altering blood pressure or microvascular perfusion. Alfaxalone and ketamine reduced respiratory rate relative to their control condition (P<0.0001, P = 0.05, respectively), but within normative ranges. Conclusion Ketamine and alfaxalone are the most effective sedatives for inducing short duration, stable sedation with minimal cardiorespiratory depression in guinea pigs, while diazepam is less-so. However, alfaxalone is the most appropriate sedative for longitudinal studies requiring multiple physiological timepoints.


2018 ◽  
Author(s):  
Christopher Park ◽  
Emmamuzo Otobo ◽  
Jason Rogers ◽  
Farah Fasihuddin ◽  
Shashank Garg ◽  
...  

BACKGROUND Congestive heart failure (CHF) is a disease that affects about 6.5 million people in the United States with a mortality rate of around 30%. With the incidence rate projected to rise by 46% to exceed 8 million cases by 2030, projections estimate that total CHF costs will increase about to nearly $70 billion. Recently, the advent of remote monitoring technology has significantly broadened the scope of the physician’s reach in chronic disease management. Using remotely monitored health data, providers may be able to better manage and predict their patients’ outcomes, leading to reduced incidence and hospital admission costs. OBJECTIVE This project aimed to demonstrate the feasibility of a digital medicine engagement platform for CHF patients, including identifying factors associated with increased risk of readmission and assessing usage patterns of remote monitoring devices. METHODS The project included 60 patients admitted to Mount Sinai Hospital for CHF. A digital medicine platform by Rx.Health, called RxUniverse, was used to prescribe HealthPROMISE and iHealth mobile apps. Patients updated and recorded their CHF-related symptoms and quality of life measures daily on HealthPROMISE. Vital sign data, including blood pressure and weight, were collected through an ambulatory remote monitoring system that integrated the iHealth app and complementary consumer grade Bluetooth-connected smart devices (blood pressure cuff and digital scale). Physicians were notified of abnormal patient blood pressure and weight change readings and further action was left to the physician’s discretion. We used statistical analyses to determine risk factors associated with 30-day all-cause readmission. RESULTS Overall, there were six 30-day hospital readmissions (10%), compared to the national readmission rates of around 25%. Single marital status (P<.1) and history of percutaneous coronary intervention (P<.1) were associated with readmission. Readmitted patients were also less likely to have been previously prescribed angiotensin converting enzyme inhibitors or angiotensin II receptor blockers (P<.05). Notably, readmitted patients utilized the blood pressure and weight monitors less than non-readmitted patients, and patients aged less than 70 used the monitors more frequently on average than those over 70, though these trends did not reach statistical significance. The percentage of patients using the monitors at least once dropped steadily from 83% in the first week after discharge to 46% in the fourth week. Additionally, 88% of patients used the monitor at least 4 times and 62% at least 10 times, with some patients using the monitors multiple times per day. CONCLUSIONS Given the increasing burden of CHF, there is a need for an effective and sustainable remote monitoring system for CHF patients following hospital discharge. We identified clinical and social factors as well as remote monitor usage trends that identify targetable patient populations that could benefit most from integration of daily remote monitoring. In addition, we demonstrated that interventions driven by real-time vitals data may greatly aid in reducing hospital readmissions and costs while improving patient outcomes. Future studies should seek to implement remote monitoring and confirm usage trends as well as risk factors in a large-scale population.


2021 ◽  
Vol 45 (340) ◽  
pp. 86-92
Author(s):  
Aleksejs Zacepins ◽  
Armands Kviesis ◽  
Vitalijs Komasilovs ◽  
Valters Brusbardis ◽  
Janis Kronbergs

Abstract Information and communication technologies are part of almost any branch of human lives. During the last decade also beekeeping joined the direction of application of IT tools and solutions and precision beekeeping was defined. Still in the beekeeping many operations and observations are completed manually, and there is a potential to switch to the digital realisation. Information technologies can be used in the beekeeping to partly support the beekeepers by implementation of automatic or semi-automatic solutions for bee colony remote monitoring, apiary record making and other actions. The aim of this paper is to make a summary of the usage of information technology tools by the beekeepers in Latvia, summarizing precision beekeeping development status and conclude about its future development potential. To achieve this aim, in cooperation with Latvian Beekeepers Association, a beekeepers survey was conducted. More than 200 beekeepers shared thoughts and opinions about their application of information and communication technologies for monitoring the bee colonies and apiary management. The summary of the survey conducted is described in this study.


BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e035184
Author(s):  
Amy Sarah Ginsburg ◽  
Evangelyn Nkwopara ◽  
William Macharia ◽  
Roseline Ochieng ◽  
Mary Waiyego ◽  
...  

IntroductionContinuous physiological monitoring devices are often not available for monitoring high-risk neonates in low-resource settings. Easy-to-use, non-invasive, multiparameter, continuous physiological monitoring devices could be instrumental in providing appropriate care and improving outcomes for high-risk neonates in these low-resource settings.Methods and analysisThe purpose of this prospective, observational, facility-based evaluation is to provide evidence to establish whether two existing non-invasive, multiparameter, continuous physiological monitoring devices developed by device developers, EarlySense and Sibel, can accurately and reliably measure vital signs in neonates (when compared with verified reference devices). We will also assess the feasibility, usability and acceptability of these devices for use in neonates in low-resource settings in Africa. Up to 500 neonates are enrolled in two phases: (1) a verification and accuracy evaluation phase at Aga Khan University—Nairobi and (2) a clinical feasibility evaluation phase at Pumwani Maternity Hospital in Nairobi, Kenya. Both quantitative and qualitative data are collected and analysed. Agreement between the investigational and reference devices is determined using a priori-defined accuracy thresholds.Ethics and disseminationThis trial was approved by the Aga Khan University Nairobi Research Ethics Committee and the Western Institutional Review Board. We plan to disseminate research results in peer-reviewed journals and international conferences.Trial registration numberNCT03920761.


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