Analytical tools for evaluation pharmaceutical treatment of neurological diseases – a case study
| Autor: | Tomasz Gutowski, Mariusz Chmielewski, Paweł Pieczonka, Marcin Kukiełka |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Therapy Evaluation Computer science business.industry Process (engineering) Wearable computer Actigraphy 02 engineering and technology Machine learning computer.software_genre Industrial and Manufacturing Engineering Clinical trial Identification (information) 020303 mechanical engineering & transports 020901 industrial engineering & automation Data acquisition 0203 mechanical engineering Artificial Intelligence Artificial intelligence Set (psychology) business computer |
| DOI: | 10.13140/rg.2.2.34006.40009 |
| Popis: | The paper describes implementation details of analytical method and conclusions of novel approach to clinical trials monitoring and pharmaceutical drugs evaluation. The designed tools and implemented method utilizes mobile application and neural networks based algorithms for assisting and monitoring of time-constrained symptoms reporting. The research provides proofs that strict, assisted health state reporting correlated with sensor data acquisition can objectivize clinical trials therefore making the process more accurate. The designed algorithms are applied for wearable sensor data analysis in order to evaluate the intensity of tremor or dyskinesia and further to correlate the patient’s survey data with acquired through sensors data. Based on clinical trials observations, a set of requirements for validating symptoms of neurological diseases have been formulated, concentrating on selected few, which can be registered using wearable biomedical sensors. The constructed tools utilize conventional surveying methods supplemented with biomedical sensor for neurological symptoms recognition and intensity evaluation. Developed mobile system is aimed at clinical trials assistance utilizing sensor-based state evaluation. Such quantitative approach is a supplement for patient’s subjective evaluation of health state. This work is a discussion on pros and cons of such process composition and its supplementation with technology. Existing methodology relies on patient’s health state evaluation based on iteratively answered questionnaires, which in our understanding cannot be fully controlled, thus reliable. The utilization of actigraphy and electromyography techniques provides efficient means of some gestures recognition but most of all PD tremor identification and intensity evaluation, therefore can be used for ON/OFF state and dyskinesia identification and evaluation. In order to recognize specific states for PD patients (tremors, bradykinesias, rigidity, mental slowness, etc.) a set of additional techniques have been designed and implemented. The paper contains summary of research assumptions and validation results obtained during the conceptual and testing phase of a deployed IQPharma Clinical Trials Assistant system. The original findings of presented research provide three correlating aspects (methods) of pharmaceutical therapy evaluation: 1. Patient subjective health state evaluation - based on the patient survey responses, 2. Tremor recognition and intensity evaluation – based on the inertial and biomedical sensor data analysis – aggregated features of actigraphy and electromyography 3. Reflex and mental perception assessment - based on the touch screen exercise evaluation and accuracy and providing complemental assessment of patient. |
| Databáze: | OpenAIRE |
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