Automatic drug delivery in anesthesia: From the beginning until now

Simanski, Olaf; Schubert, A.; Kaehler, Ralf; Jandat, M.; Bajoratt, J.; Hofmockel, R.; Lampe, Bernhard P.

doi:10.1109/med.2007.4433738

Cited by 13 publications

(8 citation statements)

References 44 publications

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“…Simakshi and Schubert 4 proposed an automatic drug delivery in anesthesia by developing an algorithm for the automation of drug delivery systems over the last years without the claim of completeness, and the process of drug in each compartment has been observed and it is being modeled; also, it overviews about the techniques of modeling like pharmacokinetic and pharmacodynamic methods.…”

Section: Literature Surveymentioning

confidence: 99%

RETRACTED: Restricted release of skin cancer medicine based on fascination and dispersion rates using proportional–integral–derivative controller

Jagadeesan¹,

Dhanasekar²,

2019

Measurement and Control

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Skin cancer is the most common of all cancers. About 35 million cases of skin cancer are diagnosed every year. Malignant melanoma is a dangerous type of skin cancer and it is difficult to treat. Early diagnosis and treatment can increase the survival rate from melanoma. However, the therapeutic treatment is the main option but still it is not feasible for most of the cases. The conventional method of drug release may cause damage to the normal cells present near the abnormal cells due to improper dosage of drug. In order to reduce the impact of drug in normal cells, the flow rate of the drug has to be controlled and the fascination rate of the drug by abnormal cells should be made maximum by targeted drug delivery. The proposed work is to convert the biological system comprising three layers like dermis, subcutaneous tissues, and bones and muscular layers into an equivalent electrical system. The mathematical model for the biological system is determined with its equivalent electrical system, and the tool PSPICE is used to evaluate the fascination and dispersion rate of the drug. In addition to evaluation of fascination and dispersion rate using PSPICE, the fascination rate of drug is measured individually for the three layers as well as for the combination of first two layers (dermis and subcutaneous layers) and for all the three layers using MATLAB. The comparison of the fascination and dispersion rates is done for all the three layers and the same has been analyzed by incorporating a conventional proportional-integral-derivative controller to minimize the dispersion rate.

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Section: Literature Surveymentioning

confidence: 99%

RETRACTED: Restricted release of skin cancer medicine based on fascination and dispersion rates using proportional–integral–derivative controller

Jagadeesan¹,

Dhanasekar²,

2019

Measurement and Control

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“…Open loop or model base drug delivery system used by clinical personnel, can be tedious, imprecise, time-consuming and sometimes of poor quality depending upon the skills and judgment of clinician [1]. Although underdosing and over-dosing can lead to detrimental health consequences for the patient.…”

Section: Open Loop Drug Delivery Systemmentioning

confidence: 99%

Hybrid Approach for Automatic Drug Dispensing and Control

Kumar

Panda

Pradhan

2017

JMRH

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Clinical scenario for critically ill patients involves large number of medical devices, such as, bed side monitors that provide vital information about the admitted patient. Critically ill patients need prompt and perfect decision, so that lifesaving drugs can be delivered at a proper time. Moreover suggestions/ recommendations of a super specialist doctor may also be required in hospitals. The main problem in hospitals is lack of specialist doctors, so, patients are not able to approach to them on time. Automatic drug delivery using microprocessor/ microcontroller has improved tremendously in recent years due to advancement in Information and Communication Technology (ICT). This paper is focused on various Drug Delivery System Interfaces used in emergency cases to reduce manual intervention. We are proposing a hybrid approach for drug dispensing, which can work as open or closed loop system. Another feature of this system is that it can be controlled from a remote location, so is to provide virtual presence of a doctor. The system will help the doctor monitor the patient as per the immediate requirement and deliver drug remotely to patient using smart phone.

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“…To improve patient recovery, lessen anesthetic drug usage, and reduce time spent at drug saturation levels, a variety of approaches to controlling depth of anesthesia have been proposed e.g. in [37,14,39,8,34,28].…”

Section: Safety In Anesthesia Automation (Discrete-time)mentioning

confidence: 99%

Computing the viability kernel using maximal reachable sets

Kaynama

Maidens

Oishi

et al. 2012

Proceedings of the 15th ACM International Conference on Hybrid Systems: Computation and Control

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We present a connection between the viability kernel and maximal reachable sets. Current numerical schemes that compute the viability kernel suffer from a complexity that is exponential in the dimension of the state space. In contrast, extremely efficient and scalable techniques are available that compute maximal reachable sets. We show that under certain conditions these techniques can be used to conservatively approximate the viability kernel for possibly high-dimensional systems. We demonstrate the results on two practical examples, one of which is a seven-dimensional problem of safety in anesthesia.

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Automatic drug delivery in anesthesia: From the beginning until now

Cited by 13 publications

References 44 publications

RETRACTED: Restricted release of skin cancer medicine based on fascination and dispersion rates using proportional–integral–derivative controller

RETRACTED: Restricted release of skin cancer medicine based on fascination and dispersion rates using proportional–integral–derivative controller

Hybrid Approach for Automatic Drug Dispensing and Control

Computing the viability kernel using maximal reachable sets

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