Personalized blood pressure control by machine learning for remote patient monitoring
In the midst of a global health crisis, it is of utmost importance for healthcare technologies to
possess the capability to regulate and monitor the physiological variables of patients …
possess the capability to regulate and monitor the physiological variables of patients …
Adaptive multi symptoms control of Parkinson's disease by deep reinforcement learning
B Faraji, K Rouhollahi, SM Paghaleh… - … Signal Processing and …, 2023 - Elsevier
Parkinson's disease (PD) is one of the really frequent disorders, with hand and head tremors
and rigidity being the most common sequelae. Deep brain stimulation (DBS) is a common …
and rigidity being the most common sequelae. Deep brain stimulation (DBS) is a common …
A novel ultra local based-fuzzy PIDF controller for frequency regulation of a hybrid microgrid system with high renewable energy penetration and storage devices
A new ultra-local control (ULC) model and two marine predator algorithm (MPA)-based
controllers; MPA-based proportional-integral-derivative with filter (PIDF) and MPA-based …
controllers; MPA-based proportional-integral-derivative with filter (PIDF) and MPA-based …
A novel closed-loop deep brain stimulation technique for Parkinson's patients rehabilitation utilizing machine learning
Deep brain stimulation (DBS) is an effective treatment for movement problems caused by a
variety of neurodegenerative illnesses, including Parkinson's disease (PD). Researchers …
variety of neurodegenerative illnesses, including Parkinson's disease (PD). Researchers …
Adaptive boundary layer double integral sliding mode controller design for leukemia therapy
A Sengupta, DK Das - … Journal of Adaptive Control and Signal …, 2023 - Wiley Online Library
Presence of leukocytes in huge amount in the bone marrow and blood causes blood cancer
or leukemia. In leukemia, number of white blood corpuscles in blood increases rapidly …
or leukemia. In leukemia, number of white blood corpuscles in blood increases rapidly …
Adaptive average arterial pressure control by multi-agent on-policy reinforcement learning
The current research introduces a model-free ultra-local model (MFULM) controller that
utilizes the multi-agent on-policy reinforcement learning (MAOPRL) technique for remotely …
utilizes the multi-agent on-policy reinforcement learning (MAOPRL) technique for remotely …
Simultaneous control of rigidity and hand tremor by adaptive fuzzy Q-learning
Deep brain stimulation (DBS) is a successful treatment for the symptoms of various
neurodegenerative diseases, including Parkinson's disease (PD). While DBS has been …
neurodegenerative diseases, including Parkinson's disease (PD). While DBS has been …
[HTML][HTML] Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients
In the field of biomedical engineering, the issue of drug delivery constitutes a multifaceted
and demanding endeavor for healthcare professionals. The intravenous administration of …
and demanding endeavor for healthcare professionals. The intravenous administration of …
Toward simple in silico experiments for drugs administration in some cancer treatments
We present some “in silico” experiments to design combined chemo-and immunotherapy
treatment schedules. We introduce a new framework by combining flatness-based control …
treatment schedules. We introduce a new framework by combining flatness-based control …
Advanced non-linear control based on artificial intelligence tuner for hand tremor suppression
One of the most common symptoms among diverse patients (eg Parkinson's disease,
essential tremor) is hand tremor. Deep brain stimulation (DBS) has been a popular method …
essential tremor) is hand tremor. Deep brain stimulation (DBS) has been a popular method …