MEDLINK: a low-cost, portable, verbally interactive and programmable remote patient monitoring (RPM) device

2020 ◽  
Vol 6 (4) ◽  
pp. 151-158
Author(s):  
O'tega Ejofodomi ◽  
Jason Zara ◽  
Godswill Ofualagba

Remote patient monitoring (RPM) devices are a novel method for physicians to monitor their patients after discharge and long after they have gone home. Usually RPM devices are bulky, relatively expensive, restricted in the physiological parameters they measure and are hard to operate.MEDLINK is a low cost (~$C1500), verbally interactive, programmable and portable RPM device that possesses the ability to verbally interact with a physician to obtain his or her information as well as the patient’s key statistics, and then to obtain the physician’s selection of physiological parameters he or she wishes to remotely monitor from that particular patient. When the patient switches on the unit, MEDLINK also verbally interacts with the patient to measure and acquire the physician’s selected physiological parameter and sends this information to the physician’s phone, via text messages and emails. Security and privacy of patient’s medical data can be preserved by using the patient’s ID instead of patient name.Physiological parameters that can be acquired by MEDLINK include: ECG, blood pressure, heart rate, blood glucose, pulse rate, blood oxygen saturation, electromyography, body temperature, spirometer, respiratory rate and much more. Future work involves the integration of more biomedical sensors to the existing MEDLINK product to expand its range of measurable physiological parameters to its maximum, and to conduct a short clinical trial on the product prior to commercialisation.

2021 ◽  
Author(s):  
Smrithy G S ◽  
Ramadoss Balakrishnan

Abstract In healthcare scenario, the major challenge in anomaly detection for remote patient monitoring is to classify true medical conditions and false alarms. This paper proposes a light-weight anomaly detection (LWAD) framework for detecting anomalies in remote patient monitoring based on wireless body area networks. The proposed framework uses distance correlation for finding correlated (both linear and non-linear) physiological parameters. It also uses a statistical-based improvised dynamic sliding window algorithm for efficient short-range prediction of physiological parameters. Finally, the proposed LWAD framework detects anomalies using anomaly detection framework based on robust statistical techniques. The validation of LWAD framework is performed using three real time datasets with various statistical measures. The proposed LWAD framework outperforms existing methods.


2021 ◽  
Vol 10 (18) ◽  
pp. 4218
Author(s):  
Arik Eisenkraft ◽  
Yasmin Maor ◽  
Keren Constantini ◽  
Nir Goldstein ◽  
Dean Nachman ◽  
...  

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.


Author(s):  
Eesha Tur Razia Babar ◽  
Asbah Amjad Usmani ◽  
Afaf Kayani ◽  
Ayesha Yaqub ◽  
Mujeeb U Rehman

2021 ◽  
Author(s):  
Farhan Ishtiaque ◽  
Sadman Rahman Sadid ◽  
Mohammed Shihab Kabir ◽  
Syeda Omia Ahalam ◽  
Md. Sharjis Ibne Wadud

2011 ◽  
Vol 17 (7) ◽  
pp. 536-545 ◽  
Author(s):  
Nevin Alex Jacob ◽  
Vysakh Pillai ◽  
Sandeep Nair ◽  
Prithviraj ◽  
Daniel Toshio Harrell ◽  
...  

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