[Retracted] An Internet of Medical Things-Based Model for Real-Time Monitoring and Averting Stroke Sensors

Table 1

Demographic details of the studied participants.

Items	Syllogistic sample	Null and void sample	Value	Items	Syllogistic sample	Null and void sample	Value
No. of participants	90	30	0.533
Age	65.4 ± 13.1	64.3 ± 9.8		Financial support basis			0.821
Female	25	12		Self	42	4
Male	65	18		Domestic partner	11	5
Level of education			0.411	Children	32	14
10^th–12^th Std.	33	8		Community help	5	4	0.230
Graduate	45	13		Family size			0.528
Postgraduate	12	9		Alone	5	1
Marital status			0.929	2–3 members	53	11
Unmarried	2	0		>4 members	32	18
Married	77	21		Initial Barthel index			0.339
Widowed	11	9		T1: total dependence	8	6
				T2: severe dependence	6	2
				T3: moderate dependence	18	8
				T4: slight dependence	28	4
				T5: total independence	30	10

The Barthel index (BI) is a regularly used index by doctors, nurses, and rehab therapists to assess patients. It is primarily used to assess the severity of a stroke and cognitive functioning (18). The composite BI is a 100-point rating, with 100 indicating entire independence, 60–99 indicating modest dependency, 40–59 indicating moderate dependence, 20–39 indicating severe dependence, and 0–19 indicating total dependence.