The goal is to record vital health parameters of the body so that neurological,cardiovascular diabetes,and respiratory disorders can be predicted and detected early.
Early detection of CVD:
Cardiovascular diseases is reputed to have high mortality rate with Myocardial Infarction (MI) being the most serious. Cost of CVD to economy was $555 billion in 2016 making it the most expensive disease in the US. Cardiovascular physiological parameters can monitored closely for an early detection of MI(and other CVD) which is important to alert medical assistance and increase the vital prognostic of patients. These parameters include
Electroencephalogram (EEG), Electrocardiogram (ECG), Electromyography (EMG), heart rate ,blood pressure,oxygen, pH value.
Early Detection and Management Of Respiratory Disorders:
Asthma,COPD,lung and other chronic respiratory diseases require frequent follow ups and monitoring. This is time consuming and costly. Also early detection can go a long way to prevent respiratory problems exacerbating into severe conditions that cannot be treated or death. By continuously monitoring vital signs,lung function,pulse oximetry,changes in heart rate and formulating risk models, respiratory diseases can be detected early and for those suffering from chronic ones,exacerbations can be predicted so patients are better managed cutting down on costs estimated to be $95 billion annually from healthcare companies $59 billion indirect costs and projected to increase by 6 percent annually in the future.
Wearable glucose sensor can be used to give insulin shots from pumps when levels of glucose fall below normal automatically.
Other applications include
wireless capsule endoscope (gastrointestinal),
wireless capsule for drug delivery, deep brain stimulator,
cortical stimulator (visual neuro-stimulator, Parkinson’s disease, etc…),
remote control of medical devices such as pacemaker, actuators,
hearing aid (wearable and implanted), retina implants, disability assistance, such as muscle tension sensing and stimulation, wearable weighing scale, fall detection.
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