Tham khảo tài liệu 'biomedical engineering 2012 part 6', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | 192 Biomedical Engineering techniques such as spectral analysis potentially initiating novel approaches for therapy strategies. Incorporating the progressive status of gait quality in a database could advance the evaluation of therapy strategy efficacy. Database status tracking may be especially useful for a progressive neurodegenerative disease such as Parkinson s disease. The status of a Parkinson s disease patient could be monitored through wireless accelerometers over durations in excess of 24 hours. Continual monitoring could augment drug therapy dose allocation and efficacy assessment. Improvements in wireless transmission strength such as conveying the accelerometer signal to a wireless phone for subsequent transmission to a database could provide significant advances in application autonomy. Similar to wireless accelerometers providing the basis for biofeedback with virtual proprioception wireless accelerometers could provide feedback insight for deep brain stimulation parameter settings. Wireless accelerometer feedback could provide the basis for temporally optimal deep brain stimulation parameters with the integration of multi-disciplinary design optimization algorithms. Wireless accelerometer systems for reflex quantification could advance the evaluation of central and peripheral nervous system trauma. The application has been developed with the intent to alleviate the growing strain on medical resources. Advances in machine learning classification techniques may further augment the impact of the wireless accelerometer reflex quantification system. Future advances envision the integration of machine learning and wireless accelerometer applications such as reflex quantification for trauma and disease status classification. Machine learning incorporates development of software programs which improve with experience at a specific task such as the classification of a phenomenon. Machine learning has been envisioned for optimizing treatment efficacy for .
